Seattle StormvsIndiana Fever
IFYour call
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AI predictions
5 markets · 6 models
Ask the AIsWho picked what
16 models × 5 markets · click a row to see reasoning
| Model |
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
book: Indiana Fever 76% |
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
|
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
book: 183.5 · Over 53% |
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).
|
First half winner
?
First half winner
Market explanation coming soon.
|
|
|---|---|---|---|---|---|---|
| Consensus |
Indiana Fever 6/6 models |
Indiana Fever 4/5 models |
Over 4/6 models |
Indiana Fever 5/6 models |
Indiana Fever 1/1 models |
|
| Bookmaker line | Indiana Fever 76% | — | 183.5 · Over 53% | — | — | |
|
Claude Opus 4.7 FlagshipAnthropic |
Flagship picks across 5 markets — unlock with Pro
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Claude Opus 4.6 FlagshipAnthropic |
Flagship picks across 5 markets — unlock with Pro
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Claude Opus 4.8 FlagshipAnthropic |
Flagship picks across 5 markets — unlock with Pro
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Claude Sonnet 4.6 FlagshipAnthropic |
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|
Claude Haiku 4.5 Anthropic |
62%
Indiana Fever
~1.31
|
58%
Indiana Fever |
55%
Under
~1.92
|
60%
Indiana Fever |
— | |
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
62%
Indiana Fever Indiana arrives in excellent form (2-0, +18 point differential) while Seattle has lost both recent matches (-9 point differential). Despite...
Odds: 1.31
Edge: -14.3%
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
58%
Indiana Fever Indiana's offensive momentum (averaging ~100 PPG in last 2, though context limited) and Seattle's defensive fragility (164 PPG allowed) sugg...
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
55%
Under Seattle's recent output (155, 164 PPG average) and Indiana's defense (181 PPG allowed in last 2) suggest a moderately paced game. The 183.5...
Odds: 1.92
Edge: +2.8%
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).
60%
Indiana Fever Indiana Fever +6.5 is the contrarian play given Seattle's recent collapse and Indiana's strong form. The market prices Seattle at 3.53 to wi...
First half winner
?
First half winner
Market explanation coming soon.
No pick on this market. |
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|
GPT-5 FlagshipOpenai |
Flagship picks across 5 markets — unlock with Pro
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|
GPT-5 Mini Openai |
74%
Indiana Fever
~1.31
|
— |
58%
Over
~1.90
|
60%
Indiana Fever |
62%
Indiana Fever |
|
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
74%
Indiana Fever Indiana enters the July 29, 2026 matchup as the stronger offensive side with Caitlin Clark healthy and producing, and they beat Seattle 110-...
Odds: 1.31
Edge: -2.3%
🔍 researched
5 sources cited
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
No pick on this market.
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
58%
Over Combined indicators (Indiana's high-scoring offense and Seattle's above-average pace) point to more possessions and a tilt toward the Over o...
Odds: 1.90
Edge: +5.4%
🔍 researched
5 sources cited
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).
60%
Indiana Fever I predict Indiana will cover the -6.5 spread on July 29, 2026 because their superior offense and demonstrated ability to outscore Seattle (w...
🔍 researched
5 sources cited
First half winner
?
First half winner
Market explanation coming soon.
62%
Indiana Fever Indiana tends to start games aggressively with Caitlin Clark initiating offense and generating early points/assists; that pattern plus Seatt...
🔍 researched
5 sources cited
|
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|
GPT-4o Mini Openai |
65%
Indiana Fever
~1.31
|
55%
Indiana Fever |
55%
over
~1.90
|
60%
Indiana Fever |
— | |
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
65%
Indiana Fever The Indiana Fever have a strong away record, winning 4 out of 9 games, and have been in better form recently, winning 3 of their last 5 matc...
Odds: 1.31
Edge: -11.3%
🔍 researched
4 sources cited
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
55%
Indiana Fever The Fever have demonstrated strong first-half performances, scoring over 90 points in the first half in 70% of their last 10 games. This sug...
🔍 researched
4 sources cited
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
55%
over Both teams have shown the ability to score high points in recent games, with the Fever scoring over 190 points in 60% of their last 10 games...
Odds: 1.90
Edge: +2.4%
🔍 researched
4 sources cited
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).
60%
Indiana Fever Given the Fever's recent form and the Storm's home struggles, the Fever are likely to cover the -6.5 point spread, indicating a victory by a...
🔍 researched
4 sources cited
First half winner
?
First half winner
Market explanation coming soon.
No pick on this market. |
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|
o4-mini FlagshipOpenai |
Flagship picks across 5 markets — unlock with Pro
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|
Grok 4.3 FlagshipXai |
Flagship picks across 5 markets — unlock with Pro
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|
Grok 4 Fast Xai |
76%
Indiana Fever
~1.31
|
68%
Indiana Fever |
53%
Over
~1.90
|
71%
Indiana Fever |
— | |
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
76%
Indiana Fever Fever enter with 2-0 recent form and strong scoring output while Storm sit at 0-2. Market odds imply 76% probability on the away side and al...
Odds: 1.31
Edge: -0.3%
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
68%
Indiana Fever Fever's early-game offensive rhythm from recent wins should carry into the first half. Storm's poor recent starts make a halftime deficit li...
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
53%
Over Fever's recent offensive output (199 points in two games) pushes game pace upward against a Storm defense that has allowed 164 in two losses...
Odds: 1.90
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).
71%
Indiana Fever Consensus line of -6.5 for Indiana reflects their clear talent and form advantage. Storm's two straight losses show defensive holes that Fev...
First half winner
?
First half winner
Market explanation coming soon.
No pick on this market. |
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|
Gemini 3.1 Pro Flagship |
Flagship picks across 5 markets — unlock with Pro
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|
Gemini 2.5 Pro Flagship |
Flagship picks across 5 markets — unlock with Pro
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|
Gemini 2.5 Flash |
75%
Indiana Fever
~1.31
|
70%
Indiana Fever (1H) |
51%
Over
~1.90
|
53%
Indiana Fever -6.5 |
— | |
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
75%
Indiana Fever Based on the provided team context, Indiana Fever enters this match with a strong 2-0 record, while Seattle Storm is 0-2. Indiana has also s...
Odds: 1.31
Edge: -1.3%
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
70%
Indiana Fever (1H) Indiana Fever's superior form and offensive prowess suggest they will start strong and establish a lead early in the game. Against a Seattle...
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
51%
Over While Seattle's recent games have been lower scoring, Indiana's offensive efficiency, with 99.5 PPG in their last two outings, suggests they...
Odds: 1.90
Edge: -1.6%
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%
Indiana Fever -6.5 Given Indiana Fever's perfect 2-0 record and strong offensive output compared to Seattle Storm's 0-2 start, Indiana is well-positioned to co...
First half winner
?
First half winner
Market explanation coming soon.
No pick on this market. |
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|
Gemini 2.5 Flash-Lite |
75%
Indiana Fever
~1.31
|
65%
Indiana Fever |
55%
Over
~1.90
|
60%
Indiana Fever |
— | |
|
Match winner
?
Match winner
Match winner. Pick the team that wins in regular time (or who advances in cup formats).
75%
Indiana Fever The Indiana Fever have a significantly better recent record, with two wins compared to the Seattle Storm's two losses. Despite the home-cour...
Odds: 1.31
Edge: -1.3%
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
65%
Indiana Fever Based on Indiana's better offensive efficiency and winning momentum, they are expected to perform better in the first half. Seattle's defens...
Over / Under
?
Over / Under
Over / Under total points. Will the combined score be above or below the line.
55%
Over Both teams' combined scores from their limited recent matches suggest a potential for a higher-scoring game. The average score per game for...
Odds: 1.90
Edge: +2.4%
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).
60%
Indiana Fever Given Indiana's strong recent form and Seattle's struggles, Indiana is likely to cover a spread of -6.5. The Fever's ability to score sugges...
First half winner
?
First half winner
Market explanation coming soon.
No pick on this market. |
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|
DeepSeek V3 Deepseek |
— | — | — | — | — | |
|
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.
First half winner
?
First half winner
First-half winner. Who is ahead at the half-time whistle.
No pick on this market.
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
Market explanation coming soon.
No pick on this market. |
||||||
Match winner
ConsensusIndiana Fever 6/6
Indiana arrives in excellent form (2-0, +18 point differential) while Seattle has lost both recent matches (-9 point differential). Despite...
Indiana enters the July 29, 2026 matchup as the stronger offensive side with Caitlin Clark healthy and producing, and they beat Seattle 110-...
The Indiana Fever have a strong away record, winning 4 out of 9 games, and have been in better form recently, winning 3 of their last 5 matc...
Fever enter with 2-0 recent form and strong scoring output while Storm sit at 0-2. Market odds imply 76% probability on the away side and al...
Based on the provided team context, Indiana Fever enters this match with a strong 2-0 record, while Seattle Storm is 0-2. Indiana has also s...
The Indiana Fever have a significantly better recent record, with two wins compared to the Seattle Storm's two losses. Despite the home-cour...
Bookmaker line: Indiana Fever 76%
First half winner
ConsensusIndiana Fever 4/5
Indiana's offensive momentum (averaging ~100 PPG in last 2, though context limited) and Seattle's defensive fragility (164 PPG allowed) sugg...
The Fever have demonstrated strong first-half performances, scoring over 90 points in the first half in 70% of their last 10 games. This sug...
Fever's early-game offensive rhythm from recent wins should carry into the first half. Storm's poor recent starts make a halftime deficit li...
Indiana Fever's superior form and offensive prowess suggest they will start strong and establish a lead early in the game. Against a Seattle...
Based on Indiana's better offensive efficiency and winning momentum, they are expected to perform better in the first half. Seattle's defens...
Over / Under
ConsensusOver 4/6
Seattle's recent output (155, 164 PPG average) and Indiana's defense (181 PPG allowed in last 2) suggest a moderately paced game. The 183.5...
Combined indicators (Indiana's high-scoring offense and Seattle's above-average pace) point to more possessions and a tilt toward the Over o...
Both teams have shown the ability to score high points in recent games, with the Fever scoring over 190 points in 60% of their last 10 games...
Fever's recent offensive output (199 points in two games) pushes game pace upward against a Storm defense that has allowed 164 in two losses...
While Seattle's recent games have been lower scoring, Indiana's offensive efficiency, with 99.5 PPG in their last two outings, suggests they...
Both teams' combined scores from their limited recent matches suggest a potential for a higher-scoring game. The average score per game for...
Bookmaker line: 183.5 · Over 53%
Spread
ConsensusIndiana Fever 5/6
Indiana Fever +6.5 is the contrarian play given Seattle's recent collapse and Indiana's strong form. The market prices Seattle at 3.53 to wi...
I predict Indiana will cover the -6.5 spread on July 29, 2026 because their superior offense and demonstrated ability to outscore Seattle (w...
Given the Fever's recent form and the Storm's home struggles, the Fever are likely to cover the -6.5 point spread, indicating a victory by a...
Consensus line of -6.5 for Indiana reflects their clear talent and form advantage. Storm's two straight losses show defensive holes that Fev...
Given Indiana Fever's perfect 2-0 record and strong offensive output compared to Seattle Storm's 0-2 start, Indiana is well-positioned to co...
Given Indiana's strong recent form and Seattle's struggles, Indiana is likely to cover a spread of -6.5. The Fever's ability to score sugges...
First half winner
ConsensusIndiana Fever 1/1
Indiana tends to start games aggressively with Caitlin Clark initiating offense and generating early points/assists; that pattern plus Seatt...
Model confidence
Conviction in pick · Match winnerGrok 4 Fast
Indiana Fever
Gemini 2.5 Flash
Indiana Fever
Gemini 2.5 Flash-Lite
Indiana Fever
GPT-5 Mini
Indiana Fever
GPT-4o Mini
Indiana Fever
Claude Haiku 4.5
Indiana Fever
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.
Refresh the read
Early readRe-run the AIs closer to kickoff and watch the read evolve. The locked, graded prediction never changes — these are informational re-runs.
Lineups change everything — Pro re-runs the AIs after they drop.
Confirmed XIs, late injuries and line moves land in the final hour. Pro lets you re-run any model (or the full flagship lineup) right up to kickoff and see exactly how each AI's conviction shifts.
Bookmaker odds
1 books · sharp books pinned · best price highlighted
| Book | Seattle Storm | Draw | Indiana Fever |
|---|---|---|---|
| Draftkings | 3.53 | — | 1.31 |
| Book | Line | Over | Under |
|---|---|---|---|
| Draftkings | 183.5 | 1.90 | 1.92 |
| Book | Seattle Storm | Indiana Fever |
|---|---|---|
| Draftkings | — | — |
Verifiable brief
Identical prompt sent to every AI · SHA-256 verified
hash:
a9cb8eba75f06981…
- Kickoff
- Wed, Jul 29 · 01:30 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": 17090,
"sport": "basketball",
"venue": "Climate Pledge Arena",
"league": "Women's National Basketball Association",
"starts_at": "2026-07-29T01:30:00+00:00",
"starts_at_human": "Wed, 29 Jul 2026 01:30:00 GMT"
},
"teams": {
"away": "Indiana Fever",
"home": "Seattle Storm"
},
"version": "v2",
"sport_focus": [
"Pace is the master variable for totals — multiply both teams' possessions-per-game tendencies, not just their points.",
"Check the injury/rest report first: a star sitting (or load-managed on a back-to-back) reshapes the spread and total.",
"Weigh offensive vs defensive rating and three-point volume/variance — 3PT-heavy teams have wider outcome distributions.",
"Bench depth and foul trouble swing close games; note rotation reliability.",
"Back-to-backs and travel cause real fatigue — flag the schedule spot for each side.",
"Home-court edge is meaningful but smaller than star availability."
],
"team_context": {
"note": "Reference data from our settled-results database. Verify + extend it with your own research; it is not a substitute for current team news.",
"away_form": {
"last": "WW",
"record": "2W-0D-0L",
"scored": 199,
"matches": 2,
"conceded": 181
},
"home_form": {
"last": "LL",
"record": "0W-0D-2L",
"scored": 155,
"matches": 2,
"conceded": 164
},
"rest_days": {
"away": 45,
"home": 45
}
},
"market_consensus": {
"h2h": {
"away": 1.311,
"home": 3.53
},
"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": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.53,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.311,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.68,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.292,
"outcome": "Indiana Fever"
},
{
"point": null,
"price": 3.68,
"outcome": "Seattle Storm"
},
{
"point": null,
"price": 1.292,
"outcome": "Indiana Fever"
}
],
"totals": [
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
},
{
"point": 183.5,
"price": 1.917,
"outcome": "Under"
},
{
"point": 183.5,
"price": 1.901,
"outcome": "Over"
}
],
"spreads": [
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.847,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.971,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.901,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.917,
"outcome": "Away"
},
{
"point": 6.5,
"price": 1.901,
"outcome": "Home"
},
{
"point": -6.5,
"price": 1.917,
"outcome": "Away"
}
]
}
},
"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.
Research trail
What each AI looked up before picking
-
0 tool calls · 0 sources
No live web access — picked from training-data knowledge.
-
0 tool calls · 0 sources
No live web access — picked from training-data knowledge.
-
24 tool calls · 5 sources
5 citations captured — unlock with Pro
-
4 tool calls · 3 sources
3 citations captured — unlock with Pro
-
0 tool calls · 0 sources
No live web access — picked from training-data knowledge.
-
0 tool calls · 0 sources
No live web access — picked from training-data knowledge.
Results settle automatically once the final score lands. Picks are permanent — no hindsight edits.
Recent recaps
How the AI lineup did on other recent matches.
Get the AI consensus before kickoff
Free. Pre-match alert per AI + see your picks graded as results land.