Football
A Lyga
· Raudondvario stadionas
Upcoming · in 19h 25m
Hegelmann Litauen vs Džiugas Telšiai
Kickoff · Wed, Jun 17 · 15:30 GMT+0000
Verifiable brief
Identical prompt sent to every AI · SHA-256 verified
hash:
d1aeaba4099a3045…
- Kickoff
- Wed, Jun 17 · 15:30 GMT+0000
- Markets
- Match winner · 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 7. 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 7, in this order): h2h | 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": "v1",
"built_at": "2026-06-16T20:04:58+00:00",
"event": {
"id": 2008,
"sport": "football",
"league": "A Lyga",
"starts_at": "2026-06-17T15:30:00+00:00",
"starts_at_human": "Wed, 17 Jun 2026 15:30:00 GMT",
"venue": "Raudondvario stadionas"
},
"teams": {
"home": "Hegelmann Litauen",
"away": "Džiugas Telšiai"
},
"market_consensus": {
"h2h": {
"home": 2.6,
"draw": 3.3,
"away": 2.67
},
"extra_markets": {
"h2h": [
{
"point": null,
"outcome": "Away",
"price": 2.65
},
{
"point": null,
"outcome": "Draw",
"price": 3.15
},
{
"point": null,
"outcome": "Home",
"price": 2.6
},
{
"point": null,
"outcome": "Away",
"price": 1.85
},
{
"point": null,
"outcome": "Home",
"price": 1.76
},
{
"point": null,
"outcome": "Away",
"price": 2.65
},
{
"point": null,
"outcome": "Draw",
"price": 3.2
},
{
"point": null,
"outcome": "Home",
"price": 2.5
},
{
"point": null,
"outcome": "Away",
"price": 1.83
},
{
"point": null,
"outcome": "Home",
"price": 1.78
},
{
"point": null,
"outcome": "Away",
"price": 2.6
},
{
"point": null,
"outcome": "Draw",
"price": 3.1
},
{
"point": null,
"outcome": "Home",
"price": 2.5
}
],
"btts": [
{
"point": null,
"outcome": "No",
"price": 1.3
},
{
"point": null,
"outcome": "Yes",
"price": 3.2
},
{
"point": null,
"outcome": "No",
"price": 1.3
},
{
"point": null,
"outcome": "Yes",
"price": 3.12
}
],
"totals": [
{
"point": null,
"outcome": "Under 0.5",
"price": 3.55
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.21
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.15
},
{
"point": null,
"outcome": "Over 2.5",
"price": 4.1
},
{
"point": null,
"outcome": "Under 1.5",
"price": 1.65
},
{
"point": null,
"outcome": "Over 1.5",
"price": 2.07
},
{
"point": null,
"outcome": "Under 0.5",
"price": 2.75
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.35
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.06
},
{
"point": null,
"outcome": "Over 2.5",
"price": 5.8
},
{
"point": null,
"outcome": "Under 1.5",
"price": 1.37
},
{
"point": null,
"outcome": "Over 1.5",
"price": 2.67
},
{
"point": null,
"outcome": "Under 4.5",
"price": 1.08
},
{
"point": null,
"outcome": "Over 4.5",
"price": 5.35
},
{
"point": null,
"outcome": "Under 0.5",
"price": 7.8
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.02
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.29
},
{
"point": null,
"outcome": "Over 3.5",
"price": 3
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.83
},
{
"point": null,
"outcome": "Over 2.5",
"price": 1.87
},
{
"point": null,
"outcome": "Under 1.5",
"price": 3.25
},
{
"point": null,
"outcome": "Over 1.5",
"price": 1.25
},
{
"point": null,
"outcome": "Under 1.0",
"price": 1.78
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.75
},
{
"point": null,
"outcome": "Under 0.5",
"price": 2.5
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.37
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.8
},
{
"point": null,
"outcome": "Over 2.5",
"price": 1.83
},
{
"point": null,
"outcome": "Under 4.5",
"price": 1.01
},
{
"point": null,
"outcome": "Over 4.5",
"price": 26
},
{
"point": null,
"outcome": "Under 1.25",
"price": 1.93
},
{
"point": null,
"outcome": "Over 1.25",
"price": 1.76
},
{
"point": null,
"outcome": "Under 1.0",
"price": 2.56
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.41
},
{
"point": null,
"outcome": "Under 0.75",
"price": 3.18
},
{
"point": null,
"outcome": "Over 0.75",
"price": 1.28
},
{
"point": null,
"outcome": "Under 0.5",
"price": 3.7
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.23
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.04
},
{
"point": null,
"outcome": "Over 3.5",
"price": 11
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.16
},
{
"point": null,
"outcome": "Over 2.5",
"price": 4.4
},
{
"point": null,
"outcome": "Under 2.0",
"price": 1.24
},
{
"point": null,
"outcome": "Over 2.0",
"price": 3.42
},
{
"point": null,
"outcome": "Under 1.75",
"price": 1.44
},
{
"point": null,
"outcome": "Over 1.75",
"price": 2.5
},
{
"point": null,
"outcome": "Under 1.5",
"price": 1.65
},
{
"point": null,
"outcome": "Over 1.5",
"price": 2.08
},
{
"point": null,
"outcome": "Under 1.25",
"price": 1.52
},
{
"point": null,
"outcome": "Over 1.25",
"price": 2.25
},
{
"point": null,
"outcome": "Under 1.0",
"price": 1.85
},
{
"point": null,
"outcome": "Over 1.0",
"price": 1.83
},
{
"point": null,
"outcome": "Under 0.75",
"price": 2.29
},
{
"point": null,
"outcome": "Over 0.75",
"price": 1.51
},
{
"point": null,
"outcome": "Under 0.5",
"price": 2.71
},
{
"point": null,
"outcome": "Over 0.5",
"price": 1.37
},
{
"point": null,
"outcome": "Under 3.5",
"price": 1.01
},
{
"point": null,
"outcome": "Over 3.5",
"price": 21
},
{
"point": null,
"outcome": "Under 2.5",
"price": 1.07
}
],
"spreads": [
{
"point": null,
"outcome": "Away +1.5",
"price": 4.5
},
{
"point": null,
"outcome": "Home +1.5",
"price": 1.13
},
{
"point": null,
"outcome": "Away -1.5",
"price": 1.13
},
{
"point": null,
"outcome": "Home -1.5",
"price": 4.5
},
{
"point": null,
"outcome": "Away +0.5",
"price": 2.47
},
{
"point": null,
"outcome": "Home +0.5",
"price": 1.42
},
{
"point": null,
"outcome": "Away -0.5",
"price": 1.46
},
{
"point": null,
"outcome": "Home -0.5",
"price": 2.35
},
{
"point": null,
"outcome": "Away +1.5",
"price": 7.9
},
{
"point": null,
"outcome": "Home +1.5",
"price": 1.02
},
{
"point": null,
"outcome": "Away -1.5",
"price": 1.03
},
{
"point": null,
"outcome": "Home -1.5",
"price": 7.6
},
{
"point": null,
"outcome": "Away +1",
"price": 6.55
},
{
"point": null,
"outcome": "Home +1",
"price": 1.05
},
{
"point": null,
"outcome": "Away +0.75",
"price": 3.78
},
{
"point": null,
"outcome": "Home +0.75",
"price": 1.19
},
{
"point": null,
"outcome": "Away +0.25",
"price": 2.35
},
{
"point": null,
"outcome": "Home +0.25",
"price": 1.48
},
{
"point": null,
"outcome": "Away +0",
"price": 1.84
},
{
"point": null,
"outcome": "Home +0",
"price": 1.8
},
{
"point": null,
"outcome": "Away -0.25",
"price": 1.51
},
{
"point": null,
"outcome": "Home -0.25",
"price": 2.29
},
{
"point": null,
"outcome": "Away -0.75",
"price": 1.21
},
{
"point": null,
"outcome": "Home -0.75",
"price": 3.58
},
{
"point": null,
"outcome": "Away -1",
"price": 1.06
},
{
"point": null,
"outcome": "Home -1",
"price": 6.25
},
{
"point": null,
"outcome": "Away +1.5",
"price": 9
},
{
"point": null,
"outcome": "Home +1.5",
"price": 1.04
},
{
"point": null,
"outcome": "Away -1.5",
"price": 1.05
},
{
"point": null,
"outcome": "Home -1.5",
"price": 9
},
{
"point": null,
"outcome": "Away +1",
"price": 8.4
},
{
"point": null,
"outcome": "Home +1",
"price": 1.01
},
{
"point": null,
"outcome": "Away +0.75",
"price": 4.4
},
{
"point": null,
"outcome": "Home +0.75",
"price": 1.14
},
{
"point": null,
"outcome": "Away +0.25",
"price": 2.52
},
{
"point": null,
"outcome": "Home +0.25",
"price": 1.42
},
{
"point": null,
"outcome": "Away +0",
"price": 1.84
},
{
"point": null,
"outcome": "Home +0",
"price": 1.8
},
{
"point": null,
"outcome": "Away -0.25",
"price": 1.44
},
{
"point": null,
"outcome": "Home -0.25",
"price": 2.47
},
{
"point": null,
"outcome": "Away -0.75",
"price": 1.15
},
{
"point": null,
"outcome": "Home -0.75",
"price": 4.26
},
{
"point": null,
"outcome": "Away -1",
"price": 1.02
},
{
"point": null,
"outcome": "Home -1",
"price": 8.1
}
]
},
"note": "Bookmaker consensus odds at the moment of the call. Frozen here so settlement grades against the same line."
},
"markets_requested": [
"h2h",
"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`."
]
}
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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Bookmaker odds
10 books · sharp books pinned · best price highlighted
| Book | Hegelmann Litauen | Draw | Džiugas Telšiai |
|---|---|---|---|
| Pinnacle ↗ | — | 3.19 | — |
| Bet365 ↗ | — | 3.20 | — |
| Unibet | — | 3.05 | — |
| 1xbet ↗ | — | 3.10 | — |
| Betano | — | 3.10 | — |
| Betfair | — | 3.30 | — |
| Dafabet | — | 3.15 | — |
| Marathonbet | — | 3.10 | — |
| Superbet | — | 3.20 | — |
| William-hill | — | 2.90 | — |
| Book | Line | Over | Under |
|---|---|---|---|
| Pinnacle ↗ | — | — | — |
| Bet365 ↗ | — | — | — |
| Unibet | — | — | — |
| 1xbet ↗ | — | — | — |
| Betano | — | — | — |
| Betfair | — | — | — |
| Marathonbet | — | — | — |
| Superbet | — | — | — |
| William-hill | — | — | — |
| Book | Hegelmann Litauen | Džiugas Telšiai |
|---|---|---|
| Pinnacle ↗ | — | — |
| Bet365 ↗ | — | — |
| Unibet | — | — |
| 1xbet ↗ | — | — |
| Betfair | — | — |
| Marathonbet | — | — |
| Superbet | — | — |
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