California Golden BearsvsUCLA Bruins
UBAI predictions
4 markets · 5 models
Ask the AIsWho picked what
16 models × 4 markets · click a row to see reasoning
| Model |
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
book: 54.5 · Over 52% |
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
book: California Golden Bears -1.5 |
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
book: California Golden Bears 53% |
|
|---|---|---|---|---|---|
| Consensus |
Under 4/5 models |
California Golden Bears -1.5 3/5 models |
California Golden Bears 4/5 models |
California Golden Bears 4/5 models |
|
| Bookmaker line | 54.5 · Over 52% | California Golden Bears -1.5 | — | California Golden Bears 53% | |
|
Claude Opus 4.7 FlagshipAnthropic |
Flagship picks across 4 markets — unlock with Pro
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Claude Opus 4.6 FlagshipAnthropic |
Flagship picks across 4 markets — unlock with Pro
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Claude Opus 4.8 FlagshipAnthropic |
Flagship picks across 4 markets — unlock with Pro
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Claude Sonnet 4.6 FlagshipAnthropic |
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|
Claude Haiku 4.5 Anthropic |
53%
Under
~1.91
|
52%
California Golden Bears
~1.91
|
55%
Under 27.25 |
54%
California Golden Bears
~1.87
|
|
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
53%
Under The totals consensus clusters around 53.5–54.5 with roughly even odds (1.91–1.93 both sides). College football rivalry games, particularly e...
Odds: 1.91
Edge: +0.6%
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
52%
California Golden Bears Cal is consistently posted at -1.5 across bookmakers with odds ranging 1.89–2.00. Implied probability is ~50–52%. This small 1.5-point home...
Odds: 1.91
Edge: -0.4%
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
55%
Under 27.25 First-half totals typically run 45–50% of the full game total. With the full-game consensus at 54–54.5, a first-half line of ~27–27.5 is exp...
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
54%
California Golden Bears Cal is favoured at 1.87 vs UCLA's 2.05, implying ~53% win probability for the home team. This is a rivalry game with modest separation in ta...
Odds: 1.87
Edge: +0.5%
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|
GPT-5 FlagshipOpenai |
Flagship picks across 4 markets — unlock with Pro
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|
GPT-5 Mini Openai |
— | — | — | — | |
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
No pick on this market.
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
No pick on this market.
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
No pick on this market.
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
No pick on this market. |
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|
GPT-4o Mini Openai |
— | — | — | — | |
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
No pick on this market.
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
No pick on this market.
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
No pick on this market.
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
No pick on this market. |
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|
o4-mini FlagshipOpenai |
Flagship picks across 4 markets — unlock with Pro
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|
Grok 4.3 FlagshipXai |
Flagship picks across 4 markets — unlock with Pro
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|
Grok 4 Fast Xai |
52%
under
~1.91
|
51%
California Golden Bears -1.5 |
52%
California Golden Bears |
53%
California Golden Bears
~1.87
|
|
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
52%
under September night game at Memorial Stadium often features moderate wind that limits big plays. Historical totals in this series trend under th...
Odds: 1.91
Edge: -0.4%
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
51%
California Golden Bears -1.5 Market consistently prices Cal as a small favorite reflecting home advantage. Rivalry games are low-scoring and decided by field position, f...
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
52%
California Golden Bears Home team typically controls the first half in this series with conservative play-calling. Training data through 2023 indicates Cal leads at...
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
53%
California Golden Bears Home field and slight market lean favor Cal in the Big Game rivalry. Training data through 2023 shows Cal holding a recent edge in Berkeley...
Odds: 1.87
Edge: -0.5%
|
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Gemini 3.1 Pro Flagship |
Flagship picks across 4 markets — unlock with Pro
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|
Gemini 2.5 Pro Flagship |
Flagship picks across 4 markets — unlock with Pro
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|
Gemini 2.5 Flash |
52%
Under
~1.91
|
52%
California Golden Bears -1.5 |
48%
California Golden Bears |
55%
California Golden Bears
~1.87
|
|
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
52%
Under The total line of 54.5 points is a decent mark for a conference game. Both UCLA and Cal have historically shown tendencies towards solid def...
Odds: 1.91
Edge: -0.4%
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
52%
California Golden Bears -1.5 Given the H2H prediction favoring California, it's reasonable to expect them to cover a small spread of -1.5 points. This implies a win by a...
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
48%
California Golden Bears Extrapolating from the full-game H2H prediction, the home team, California Golden Bears, is slightly more likely to hold a lead at halftime....
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
55%
California Golden Bears Based on market consensus, California Golden Bears are slight home favorites. Historically, both teams are competitive, and home-field advan...
Odds: 1.87
Edge: +1.5%
|
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|
Gemini 2.5 Flash-Lite |
53%
Under
~1.91
|
53%
California Golden Bears |
52%
California Golden Bears |
54%
UCLA Bruins
~2.05
|
|
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
53%
Under Without specific team offensive and defensive statistics, it's challenging to make a definitive call on totals. However, leaning towards the...
Odds: 1.91
Edge: +0.6%
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
53%
California Golden Bears The spread market shows a slight lean towards California covering the spread of +1.5. Given the closely matched nature of the teams as sugge...
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
52%
California Golden Bears In a game with closely matched teams, the home team often starts with more energy. Without specific first-half performance data, this pick i...
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
54%
UCLA Bruins UCLA enters this matchup with a slight edge based on historical performance and potential roster strength, though exact lineups and recent f...
Odds: 2.05
Edge: +5.2%
|
|||||
|
DeepSeek V3 Deepseek |
55%
Under
~1.91
|
52%
California Golden Bears -1.5 |
52%
California Golden Bears |
55%
California Golden Bears
~1.87
|
|
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
55%
Under Both teams have shown defensive strength in recent contests, and the total of 53.5 is set high for a Pac-12 matchup. With potential early-se...
Odds: 1.91
Edge: +2.6%
Spread
?
Spread
Point spread. The favourite has to win by more than the spread; the underdog can lose by less than it (or win outright).
52%
California Golden Bears -1.5 California is a slight favorite and playing at home, which should help them cover a small spread. UCLA has been unpredictable, especially aw...
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
52%
California Golden Bears California tends to start games well at home, often establishing an early lead. UCLA may be slow to adjust given travel. I predict Californi...
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
55%
California Golden Bears Training data through early 2025 suggests California has been strong at home, and UCLA has had consistency issues on the road. The home fiel...
Odds: 1.87
Edge: +1.5%
|
|||||
Over / Under
ConsensusUnder 4/5
The totals consensus clusters around 53.5–54.5 with roughly even odds (1.91–1.93 both sides). College football rivalry games, particularly e...
September night game at Memorial Stadium often features moderate wind that limits big plays. Historical totals in this series trend under th...
The total line of 54.5 points is a decent mark for a conference game. Both UCLA and Cal have historically shown tendencies towards solid def...
Without specific team offensive and defensive statistics, it's challenging to make a definitive call on totals. However, leaning towards the...
Both teams have shown defensive strength in recent contests, and the total of 53.5 is set high for a Pac-12 matchup. With potential early-se...
Bookmaker line: 54.5 · Over 52%
Spread
ConsensusCalifornia Golden Bears -1.5 3/5
Cal is consistently posted at -1.5 across bookmakers with odds ranging 1.89–2.00. Implied probability is ~50–52%. This small 1.5-point home...
Market consistently prices Cal as a small favorite reflecting home advantage. Rivalry games are low-scoring and decided by field position, f...
Given the H2H prediction favoring California, it's reasonable to expect them to cover a small spread of -1.5 points. This implies a win by a...
The spread market shows a slight lean towards California covering the spread of +1.5. Given the closely matched nature of the teams as sugge...
California is a slight favorite and playing at home, which should help them cover a small spread. UCLA has been unpredictable, especially aw...
Bookmaker line: California Golden Bears -1.5
First half winner
ConsensusCalifornia Golden Bears 4/5
First-half totals typically run 45–50% of the full game total. With the full-game consensus at 54–54.5, a first-half line of ~27–27.5 is exp...
Home team typically controls the first half in this series with conservative play-calling. Training data through 2023 indicates Cal leads at...
Extrapolating from the full-game H2H prediction, the home team, California Golden Bears, is slightly more likely to hold a lead at halftime....
In a game with closely matched teams, the home team often starts with more energy. Without specific first-half performance data, this pick i...
California tends to start games well at home, often establishing an early lead. UCLA may be slow to adjust given travel. I predict Californi...
Match winner
ConsensusCalifornia Golden Bears 4/5
Cal is favoured at 1.87 vs UCLA's 2.05, implying ~53% win probability for the home team. This is a rivalry game with modest separation in ta...
Home field and slight market lean favor Cal in the Big Game rivalry. Training data through 2023 shows Cal holding a recent edge in Berkeley...
Based on market consensus, California Golden Bears are slight home favorites. Historically, both teams are competitive, and home-field advan...
UCLA enters this matchup with a slight edge based on historical performance and potential roster strength, though exact lineups and recent f...
Training data through early 2025 suggests California has been strong at home, and UCLA has had consistency issues on the road. The home fiel...
Bookmaker line: California Golden Bears 53%
Model confidence
Conviction in pick · Match winnerGemini 2.5 Flash
California Golden Bears
DeepSeek V3
California Golden Bears
Claude Haiku 4.5
California Golden Bears
Gemini 2.5 Flash-Lite
UCLA Bruins
Grok 4 Fast
California Golden Bears
Model track records
LifetimeEvery graded pick across all sports — auto-settled the moment results land, wins and losses both counted. Ranked by win rate.
Units = net profit at flat 1-unit stakes. The full sortable board lives on the leaderboard.
Bookmaker odds
25 books · sharp books pinned · best price highlighted
| Book | California Golden Bears | Draw | UCLA Bruins |
|---|---|---|---|
| Fanduel | 1.83 | — | 2.00 |
| Betfair UK | 1.87 | — | 1.95 |
| Betrivers | 1.81 | — | 1.96 |
| Fanatics | 1.80 | — | 2.05 |
| Leovegas | 1.81 | — | 2.02 |
| Leovegas Se | 1.81 | — | 1.95 |
| Paddy Power | 1.87 | — | 1.95 |
| Unibet Nl | 1.81 | — | 1.96 |
| Unibet Se | 1.81 | — | 1.96 |
| Unibet | 1.80 | — | 1.98 |
| Williamhill | 1.85 | — | 1.98 |
| Book | Line | Over | Under |
|---|---|---|---|
| Draftkings | 53.5 | 1.91 | 1.91 |
| Fanduel | 54.5 | 1.91 | 1.91 |
| Betmgm | 54.5 | 1.91 | 1.91 |
| BetOnline | 54.5 | 1.91 | 1.91 |
| Betrivers | 54.0 | 1.91 | 1.88 |
| Bovada | 53.5 | 1.91 | 1.91 |
| Casumo | 54.0 | 1.92 | 1.89 |
| Coral | 54.5 | 1.91 | 1.91 |
| Fanatics | 54.5 | 1.91 | 1.91 |
| Grosvenor | 54.0 | 1.92 | 1.89 |
| Gtbets | 53.5 | 1.92 | 1.92 |
| Ladbrokes | 54.5 | 1.91 | 1.91 |
| Leovegas | 54.0 | 1.89 | 1.88 |
| Livescorebet | 54.0 | 1.92 | 1.90 |
| LowVig | 54.5 | 1.93 | 1.93 |
| Onexbet | 54.5 | 1.91 | 1.91 |
| Unibet Nl | 54.0 | 1.91 | 1.88 |
| Virginbet | 54.0 | 1.92 | 1.90 |
| Williamhill | 54.5 | 1.94 | 1.87 |
| Book | California Golden Bears | UCLA Bruins |
|---|---|---|
| Draftkings | -1.5 @ 1.89 | +1.5 @ 1.93 |
| Fanduel | -1.5 @ 1.91 | +1.5 @ 1.91 |
| Betmgm | -1.5 @ 1.95 | +1.5 @ 1.87 |
| BetOnline | 0.0 @ 1.91 | 0.0 @ 1.91 |
| Betrivers | -1.5 @ 1.92 | +1.5 @ 1.88 |
| Betus | 0.0 @ 1.91 | 0.0 @ 1.91 |
| Bovada | -1.5 @ 1.91 | +1.5 @ 1.91 |
| Coral | -1.5 @ 1.95 | +1.5 @ 1.85 |
| Fanatics | -1.0 @ 1.87 | +1.0 @ 1.95 |
| Gtbets | -1.5 @ 1.92 | +1.5 @ 1.92 |
| Ladbrokes | -1.5 @ 1.95 | +1.5 @ 1.85 |
| Leovegas | -1.5 @ 1.93 | +1.5 @ 1.88 |
| Leovegas Se | -1.5 @ 1.91 | +1.5 @ 1.87 |
| LowVig | 0.0 @ 1.94 | 0.0 @ 1.94 |
| Onexbet | -1.5 @ 2.00 | +1.5 @ 1.83 |
| Unibet Nl | -1.5 @ 1.92 | +1.5 @ 1.88 |
| Unibet Se | -1.5 @ 1.92 | +1.5 @ 1.88 |
| Williamhill | -1.0 @ 1.89 | +1.0 @ 1.92 |
Verifiable brief
Identical prompt sent to every AI · SHA-256 verified
hash:
80e0a95ed6e37feb…
- Kickoff
- Sun, Sep 6 · 02:30 GMT+0000
- Markets
- Match winner · Over / Under · Spread · First half winner
- Odds
- 15+ live books
- Research
- AIs self-source
System instruction
You are a sports prediction analyst working for ModelFights — a public arena
that pits frontier AI models against each other on the same matches.
You will receive a JSON "brief" with the minimum context: sport, teams, kickoff,
venue, bookmaker odds, markets to predict. Everything else — recent form,
lineups, injuries, weather, head-to-head — you must research yourself with
the tools available to you.
Hard rules:
- Output strict JSON only. No prose outside the JSON, no preamble, no code fence.
- You MUST return exactly one prediction object per requested market — the
`predictions` array length MUST equal 4. No omissions, no excuses.
- Even with limited info you still commit to a pick + confidence + reasoning.
- `confidence` is YOUR probability for YOUR pick, expressed 0 to 1.
- Probabilities for the same market must sum to 1.0 (±0.02).
- For `correct_score`, the pick is a literal "home-away" string (e.g. "2-1",
"0-0"). Probabilities should be a dict of the top 6–10 candidate scores
plus an "other" bucket summing to ≥1.0.
- `reasoning` is 2–4 sentences, plain text, no markdown.
- If you used external tools (search, browsing), list each source you
actually consulted in `sources_cited`. Do not fabricate URLs.
- If you have NO live access, predict from your training knowledge and
explicitly note that in `reasoning` (e.g. "training data through 2025-09").
- `used_research_tools` is true if and only if you invoked at least one tool.
- Do not hedge. Do not say "I don't have enough data." Use what you have.
Required markets (return ALL 4, in this order): h2h | totals | spreads | first_half
Output schema:
{
"used_research_tools": true | false,
"sources_cited": [
{ "title": "Source title", "url": "https://example.com/path", "snippet": "What you learned, 1 sentence" }
],
"predictions": [
{
"market_key": "h2h" | "totals_2.5" | "btts" | "spreads_-1" | "...",
"pick": "<one of the outcome labels for this market>",
"confidence": 0.0,
"probabilities": { "<outcome>": 0.0, ... },
"reasoning": "2-4 sentences citing the key factors.",
"signals": [
{ "tag": "form" | "xg" | "injuries" | "rest" | "market" | "narrative" | "fatigue" | "lineup" | "weather",
"label": "Short fact in plain text.",
"lean": "home" | "draw" | "away" | "neutral" }
],
"tags": [ "high_confidence" | "value_bet" | "trap_game" | "stale_knowledge" | "..." ]
}
]
}
User brief (JSON)
{
"event": {
"id": 49,
"sport": "american-football",
"venue": null,
"league": "NCAAF",
"starts_at": "2026-09-06T02:30:00+00:00",
"starts_at_human": "Sun, 06 Sep 2026 02:30:00 GMT"
},
"teams": {
"away": "UCLA Bruins",
"home": "California Golden Bears"
},
"version": "v2",
"sport_focus": [
"The quarterback matchup and O-line vs pass-rush battle dominate — a backup QB or injured tackle moves the line sharply.",
"Turnovers and red-zone efficiency decide scoring; weigh recent ball-security trends.",
"Weather is decisive outdoors: wind > ~15mph and cold suppress the passing game and kicking, favouring unders and the run.",
"Rest matters — a bye week or short (Thursday) week changes preparation and legs.",
"Check injuries to skill positions (WR1, RB1) and the secondary."
],
"market_consensus": {
"h2h": {
"away": 2.05,
"home": 1.87
},
"note": "Bookmaker consensus odds at the moment of the call. Frozen here so settlement grades against the same line.",
"extra_markets": {
"h2h": [
{
"point": null,
"price": 1.98,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.85,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.95,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.81,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.96,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.81,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.96,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.81,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.96,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.81,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 2.02,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.81,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.98,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.8,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 2.05,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.8,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.95,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.87,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.95,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.87,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 2,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.83,
"outcome": "California Golden Bears"
},
{
"point": null,
"price": 1.98,
"outcome": "UCLA Bruins"
},
{
"point": null,
"price": 1.85,
"outcome": "California Golden Bears"
}
],
"totals": [
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.87,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.94,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.93,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.93,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 53.5,
"price": 1.92,
"outcome": "Under"
},
{
"point": 53.5,
"price": 1.92,
"outcome": "Over"
},
{
"point": 53.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 53.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54,
"price": 1.88,
"outcome": "Under"
},
{
"point": 54,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54,
"price": 1.88,
"outcome": "Under"
},
{
"point": 54,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54,
"price": 1.89,
"outcome": "Under"
},
{
"point": 54,
"price": 1.92,
"outcome": "Over"
},
{
"point": 54,
"price": 1.9,
"outcome": "Under"
},
{
"point": 54,
"price": 1.92,
"outcome": "Over"
},
{
"point": 54,
"price": 1.9,
"outcome": "Under"
},
{
"point": 54,
"price": 1.92,
"outcome": "Over"
},
{
"point": 54,
"price": 1.89,
"outcome": "Under"
},
{
"point": 54,
"price": 1.92,
"outcome": "Over"
},
{
"point": 54,
"price": 1.88,
"outcome": "Under"
},
{
"point": 54,
"price": 1.89,
"outcome": "Over"
},
{
"point": 53.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 53.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.91,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.87,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.94,
"outcome": "Over"
},
{
"point": 54.5,
"price": 1.93,
"outcome": "Under"
},
{
"point": 54.5,
"price": 1.93,
"outcome": "Over"
}
],
"spreads": [
{
"point": 1.5,
"price": 1.85,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.85,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.87,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1,
"price": 1.92,
"outcome": "UCLA Bruins"
},
{
"point": -1,
"price": 1.89,
"outcome": "California Golden Bears"
},
{
"point": 0,
"price": 1.91,
"outcome": "UCLA Bruins"
},
{
"point": 0,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 0,
"price": 1.94,
"outcome": "UCLA Bruins"
},
{
"point": 0,
"price": 1.94,
"outcome": "California Golden Bears"
},
{
"point": 0,
"price": 1.91,
"outcome": "UCLA Bruins"
},
{
"point": 0,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.92,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.92,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.93,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.89,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.87,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.88,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.92,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.88,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.92,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.88,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.92,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.88,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.93,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.91,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 1,
"price": 1.95,
"outcome": "UCLA Bruins"
},
{
"point": -1,
"price": 1.87,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.83,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 2,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.91,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.85,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.85,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1.5,
"price": 1.87,
"outcome": "UCLA Bruins"
},
{
"point": -1.5,
"price": 1.95,
"outcome": "California Golden Bears"
},
{
"point": 1,
"price": 1.92,
"outcome": "UCLA Bruins"
},
{
"point": -1,
"price": 1.89,
"outcome": "California Golden Bears"
},
{
"point": 0,
"price": 1.91,
"outcome": "UCLA Bruins"
},
{
"point": 0,
"price": 1.91,
"outcome": "California Golden Bears"
},
{
"point": 0,
"price": 1.94,
"outcome": "UCLA Bruins"
},
{
"point": 0,
"price": 1.94,
"outcome": "California Golden Bears"
}
]
}
},
"markets_requested": [
"h2h",
"totals",
"spreads",
"first_half"
],
"research_directive": [
"Use any tools you have (web search, news, your training knowledge) to research:",
"recent form (last 5 matches), starting lineups, injuries / absences, weather (outdoor sports), head-to-head record, fatigue / rest days.",
"Cite specific sources in `sources_cited` when you use external tools.",
"If you have NO live access, predict from your training knowledge and say so in `reasoning`."
]
}
The hash above is SHA-256 of the canonical JSON brief. Two models with the same hash got byte-identical input — so any difference in their picks comes from reasoning, not from inputs.
Results settle automatically once the final score lands. Picks are permanent — no hindsight edits.
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