Football
Second League - Group 1
Final
1–2
KyzyltashvsIzberbash
Final1–2
No AI predictions on file.
This match has already kicked off (or finished). Audits can only be requested on future events.
Team news
ProInjuries and confirmed lineups — the same team news the AIs factored into their reads.
Team news is a Pro feature
see exactly who's out and the XIs the AIs reasoned on, before kickoff.
Bookmaker odds
4 books · sharp books pinned · best price highlighted
| Book | Kyzyltash | Draw | Izberbash |
|---|---|---|---|
| 1xbet | — | 5.20 | — |
| Dafabet | — | 5.80 | — |
| Marathonbet | — | 5.20 | — |
| Superbet | — | 5.90 | — |
| Book | Line | Over | Under |
|---|---|---|---|
| 1xbet | — | — | — |
| Marathonbet | — | — | — |
| Superbet | — | — | — |
| Book | Kyzyltash | Izberbash |
|---|---|---|
| 1xbet | — | — |
| Marathonbet | — | — |
Verifiable brief
Identical prompt sent to every AI · SHA-256 verified
hash:
d96e97f908e1914c…
- Kickoff
- Sat, Jun 13 · 14:00 GMT+0000
- Markets
- Match winner · Draw no bet · Over / Under 2.5 · Both teams to score · Spread -1 · Asian handicap · Half-time / Full-time · Correct score
- 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 8. 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 8, in this order): h2h | draw_no_bet | totals_2.5 | btts | spreads_-1 | asian_handicap | ht_ft | correct_score
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)
{
"version": "v2",
"event": {
"id": 1217,
"sport": "football",
"league": "Second League - Group 1",
"starts_at": "2026-06-13T14:00:00+00:00",
"starts_at_human": "Sat, 13 Jun 2026 14:00:00 GMT",
"venue": null
},
"teams": {
"home": "Kyzyltash",
"away": "Izberbash"
},
"market_consensus": {
"h2h": [],
"extra_markets": {
"h2h": [
{
"point": null,
"outcome": "Away",
"price": 11
},
{
"point": null,
"outcome": "Draw",
"price": 5.8
},
{
"point": null,
"outcome": "Home",
"price": 1.19
},
{
"point": null,
"outcome": "Away",
"price": 7.5
},
{
"point": null,
"outcome": "Home",
"price": 1.02
},
{
"point": null,
"outcome": "Away",
"price": 9.8
},
{
"point": null,
"outcome": "Draw",
"price": 5.9
},
{
"point": null,
"outcome": "Home",
"price": 1.18
}
],
"totals": [
{
"point": null,
"outcome": "Under 4.5",
"price": 1.24
},
{
"point": null,
"outcome": "Over 4.5",
"price": 3.35
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.63
},
{
"point": null,
"outcome": "Over 3.5",
"price": 2.12
},
{
"point": null,
"outcome": "Under 2.5",
"price": 2.5
},
{
"point": null,
"outcome": "Over 2.5",
"price": 1.43
},
{
"point": null,
"outcome": "Under 3.0",
"price": 1.1
},
{
"point": null,
"outcome": "Over 3.0",
"price": 5.8
},
{
"point": null,
"outcome": "Under 1.25",
"price": 2.66
},
{
"point": null,
"outcome": "Over 1.25",
"price": 1.41
},
{
"point": null,
"outcome": "Under 1.0",
"price": 3.9
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.2
},
{
"point": null,
"outcome": "Under 0.5",
"price": 5.3
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.12
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.35
},
{
"point": null,
"outcome": "Over 2.5",
"price": 2.79
},
{
"point": null,
"outcome": "Under 2.25",
"price": 1.45
},
{
"point": null,
"outcome": "Over 2.25",
"price": 2.44
},
{
"point": null,
"outcome": "Under 2.0",
"price": 1.63
},
{
"point": null,
"outcome": "Over 2.0",
"price": 2.11
},
{
"point": null,
"outcome": "Under 1.75",
"price": 1.89
},
{
"point": null,
"outcome": "Over 1.75",
"price": 1.79
},
{
"point": null,
"outcome": "Under 1.5",
"price": 2.15
},
{
"point": null,
"outcome": "Over 1.5",
"price": 1.58
},
{
"point": null,
"outcome": "Under 1.25",
"price": 1.83
},
{
"point": null,
"outcome": "Over 1.25",
"price": 1.85
},
{
"point": null,
"outcome": "Under 1.0",
"price": 2.27
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.52
},
{
"point": null,
"outcome": "Under 0.75",
"price": 2.62
},
{
"point": null,
"outcome": "Over 0.75",
"price": 1.39
},
{
"point": null,
"outcome": "Under 0.5",
"price": 3.9
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.21
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.01
},
{
"point": null,
"outcome": "Over 3.5",
"price": 10
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.17
},
{
"point": null,
"outcome": "Over 2.5",
"price": 4.3
},
{
"point": null,
"outcome": "Under 2.0",
"price": 1.22
},
{
"point": null,
"outcome": "Over 2.0",
"price": 3.58
},
{
"point": null,
"outcome": "Under 1.75",
"price": 1.4
},
{
"point": null,
"outcome": "Over 1.75",
"price": 2.59
},
{
"point": null,
"outcome": "Under 1.5",
"price": 1.6
},
{
"point": null,
"outcome": "Over 1.5",
"price": 2.16
},
{
"point": null,
"outcome": "Under 5.5",
"price": 1.1
},
{
"point": null,
"outcome": "Over 5.5",
"price": 5.8
},
{
"point": null,
"outcome": "Under 5.0",
"price": 1.1
},
{
"point": null,
"outcome": "Over 5.0",
"price": 5.1
},
{
"point": null,
"outcome": "Under 4.25",
"price": 1.3
},
{
"point": null,
"outcome": "Over 4.25",
"price": 2.97
},
{
"point": null,
"outcome": "Under 4.0",
"price": 1.36
},
{
"point": null,
"outcome": "Over 4.0",
"price": 2.7
},
{
"point": null,
"outcome": "Under 3.75",
"price": 1.5
},
{
"point": null,
"outcome": "Over 3.75",
"price": 2.28
},
{
"point": null,
"outcome": "Under 3.25",
"price": 1.82
},
{
"point": null,
"outcome": "Over 3.25",
"price": 1.86
},
{
"point": null,
"outcome": "Under 4.5",
"price": 1.25
},
{
"point": null,
"outcome": "Over 4.5",
"price": 3.28
},
{
"point": null,
"outcome": "Under 3.0",
"price": 2
},
{
"point": null,
"outcome": "Over 3.0",
"price": 1.65
},
{
"point": null,
"outcome": "Under 1.0",
"price": 11
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.02
},
{
"point": null,
"outcome": "Under 0.5",
"price": 14
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.01
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.66
},
{
"point": null,
"outcome": "Over 3.5",
"price": 2.07
},
{
"point": null,
"outcome": "Under 2.75",
"price": 2.28
},
{
"point": null,
"outcome": "Over 2.75",
"price": 1.55
},
{
"point": null,
"outcome": "Under 2.5",
"price": 2.46
},
{
"point": null,
"outcome": "Over 2.5",
"price": 1.43
},
{
"point": null,
"outcome": "Under 2.25",
"price": 2.97
},
{
"point": null,
"outcome": "Over 2.25",
"price": 1.3
},
{
"point": null,
"outcome": "Under 2.0",
"price": 4.1
},
{
"point": null,
"outcome": "Over 2.0",
"price": 1.16
},
{
"point": null,
"outcome": "Under 1.75",
"price": 3.98
},
{
"point": null,
"outcome": "Over 1.75",
"price": 1.17
},
{
"point": null,
"outcome": "Under 1.5",
"price": 5.3
},
{
"point": null,
"outcome": "Over 1.5",
"price": 1.12
}
],
"spreads": [
{
"point": null,
"outcome": "Away -1.5",
"price": 1.46
},
{
"point": null,
"outcome": "Home -1.5",
"price": 2.38
},
{
"point": null,
"outcome": "Away -0.75",
"price": 2.24
},
{
"point": null,
"outcome": "Home -0.75",
"price": 1.53
},
{
"point": null,
"outcome": "Away -1",
"price": 1.9
},
{
"point": null,
"outcome": "Home -1",
"price": 1.75
},
{
"point": null,
"outcome": "Away -1.25",
"price": 1.61
},
{
"point": null,
"outcome": "Home -1.25",
"price": 2.06
},
{
"point": null,
"outcome": "Away -1.5",
"price": 1.25
},
{
"point": null,
"outcome": "Home -1.5",
"price": 3.28
},
{
"point": null,
"outcome": "Away -0.75",
"price": 1.74
},
{
"point": null,
"outcome": "Home -0.75",
"price": 1.91
},
{
"point": null,
"outcome": "Away -1",
"price": 1.46
},
{
"point": null,
"outcome": "Home -1",
"price": 2.41
},
{
"point": null,
"outcome": "Away -1.25",
"price": 1.33
},
{
"point": null,
"outcome": "Home -1.25",
"price": 2.87
},
{
"point": null,
"outcome": "Away -3.5",
"price": 1.17
},
{
"point": null,
"outcome": "Home -3.5",
"price": 3.98
},
{
"point": null,
"outcome": "Away -2.25",
"price": 1.59
},
{
"point": null,
"outcome": "Home -2.25",
"price": 2.17
},
{
"point": null,
"outcome": "Away -2.5",
"price": 1.47
},
{
"point": null,
"outcome": "Home -2.5",
"price": 2.35
},
{
"point": null,
"outcome": "Away -4",
"price": 1.05
},
{
"point": null,
"outcome": "Home -4",
"price": 6.6
},
{
"point": null,
"outcome": "Away -1.5",
"price": 2.14
},
{
"point": null,
"outcome": "Home -1.5",
"price": 1.61
},
{
"point": null,
"outcome": "Away -1.75",
"price": 1.94
},
{
"point": null,
"outcome": "Home -1.75",
"price": 1.75
},
{
"point": null,
"outcome": "Away -2",
"price": 1.71
},
{
"point": null,
"outcome": "Home -2",
"price": 1.92
},
{
"point": null,
"outcome": "Away -3",
"price": 1.24
},
{
"point": null,
"outcome": "Home -3",
"price": 3.34
},
{
"point": null,
"outcome": "Away +0",
"price": 7.85
},
{
"point": null,
"outcome": "Home +0",
"price": 1.05
}
],
"btts": [
{
"point": null,
"outcome": "No",
"price": 1.26
},
{
"point": null,
"outcome": "Yes",
"price": 3.34
}
]
},
"note": "No bookmaker consensus available at build time — predict from public knowledge."
},
"markets_requested": [
"h2h",
"draw_no_bet",
"totals_2.5",
"btts",
"spreads_-1",
"asian_handicap",
"ht_ft",
"correct_score"
],
"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`."
],
"sport_focus": [
"Weight CONFIRMED team news heavily: a missing first-choice striker, creator, or centre-back swings a match more than season-long form.",
"Compare attacking vs defensive quality directly — clean-sheet rate and goals-conceded trend often predict unders/BTTS better than the win line.",
"Set pieces decide tight games: note corner/free-kick threat and aerial mismatches.",
"Account for fixture congestion + likely rotation (midweek European or cup games before this one) and the home/away form split.",
"For outdoor venues, factor heavy rain or strong wind — both suppress goals and favour the under.",
"Tactical style matters: a high-press side vs a possession side, or two defensive setups, shapes the goals expectation."
]
}
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.
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