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MLB
Final 1–2
Minnesota Twins logo

Minnesota TwinsvsLos Angeles Dodgers

Los Angeles Dodgers logo
Chat with the AIs Ask why they picked — live
Final1–2 Locked 28picks · 17 graded
Recap Consensus called it

Minnesota Twins 1–2 Los Angeles Dodgers

All 7 AIs backed Los Angeles Dodgers — and reality agreed.

AI lean
Los Angeles Dodgers 7/7
Correct calls
7/7
Final
1–2

Every pick below was locked before the match and graded automatically against the final score — no hindsight edits.

AI predictions

Ask the AIs

Who picked what

16 models × 4 markets · click a row to see reasoning

Spread

Consensus
Los Angeles Dodgers -1.5 3/7
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 52% Los Angeles Dodgers -1.5 L

The Dodgers' organizational strength and talent depth suggest a slight edge in a single game, justifying a -1.5 line. However, home-field ad...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 54% Los Angeles Dodgers -1.5 L

Given the Dodgers' superior roster overall and the probability they produce multiple runs against a mid-rotation/spot-starter type, a 2+ run...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 60% Los Angeles Dodgers

The Dodgers' superior lineup and recent form make them likely to cover the -1 spread against the Twins, who have struggled against top teams...

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🔍 researched 3 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 55% away_ -1.5

Los Angeles has covered the run line more frequently on the road against weaker AL Central sides. Twins bullpen vulnerabilities increase lat...

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Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 58% Minnesota Twins +1.5 W

Based on training data through my knowledge cutoff, while the Los Angeles Dodgers are a strong team, the run line of -1.5 is challenging to...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 52% Los Angeles Dodgers L

While not a strong lean, the Dodgers' general superiority suggests they are more likely to cover a small spread like -1.5 than the Twins. Th...

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DeepSeek V3 DeepSeek V3 50% Los Angeles Dodgers -1.5 L

The Dodgers have the offensive firepower to win by multiple runs, but run-line predictions are inherently less certain due to variability in...

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Over / Under

Consensus
over 4/7
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 54% Over 8.5 L

June baseball typically sees moderately elevated run-scoring as weather warms and hitters find form. Both the Twins and Dodgers field compet...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 58% over L

Both probable starters carry middling ERAs in 2026 (Lauer and Zebby Matthews reported with elevated ERAs/WHIPs on StatMuse/CBS) and the Dodg...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 55% over W

Both teams have potent offenses, and the Dodgers' pitching staff has shown vulnerability on the road. This suggests a higher likelihood of a...

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🔍 researched 3 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 53% over

Interleague matchups between these clubs have trended toward higher run totals in prior years. Dodgers lineup generates consistent power whi...

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Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 52% Over 8.5 L

Based on training data through my knowledge cutoff, both the Dodgers and Twins typically feature strong offensive lineups capable of scoring...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 60% over L

Both teams have offenses capable of scoring runs. Given the nature of baseball games, particularly interleague matchups where pitching match...

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DeepSeek V3 DeepSeek V3 55% Over 8.5

Both teams have potent offenses capable of scoring runs, and the Twins' pitching staff has struggled this season. Weather in Minneapolis in...

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First 5 innings

Consensus
Los Angeles Dodgers 6/7
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 56% Over 4.5

Early-inning totals in June tend to trend slightly toward runs as hitters are warming into the season and relief arms haven't yet fully ente...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 62% Los Angeles Dodgers

First-five innings favors the team that can score early against the probable starter; Zebby Matthews' 2026 surface metrics and Lauer's abili...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 55% Los Angeles Dodgers

The Dodgers' offense tends to start strong, and with the Twins' recent pitching struggles, the Dodgers are likely to lead after the first fi...

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🔍 researched 3 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 59% Los Angeles Dodgers

LA typically establishes early leads via strong top-of-order hitting. Twins early-inning starters have posted higher ERAs historically. Trai...

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Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 58% Los Angeles Dodgers

Based on training data through my knowledge cutoff, the Los Angeles Dodgers typically boast strong starting pitching and an offense that can...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 53% Los Angeles Dodgers

Interleague games can sometimes see uneven performance, and historically, the Dodgers have been a more consistent performer early in games....

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DeepSeek V3 DeepSeek V3 60% Los Angeles Dodgers

The Dodgers' starting rotation typically starts strong, and their bullpen depth is superior. In early innings, LA's experienced hitters ofte...

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Match winner

Consensus
Los Angeles Dodgers 7/7
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 58% Los Angeles Dodgers W

The Dodgers have historically been a stronger franchise with deeper talent depth and more consistent playoff performance. However, the Twins...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 68% Los Angeles Dodgers W

The Dodgers enter the series with a substantially better record (49-29) and strong recent form against various opponents, while the Twins ar...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 60% Los Angeles Dodgers W

The Los Angeles Dodgers have a strong away record and have been performing well recently, while the Minnesota Twins have struggled against t...

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🔍 researched 3 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 62% Los Angeles Dodgers W

Dodgers maintain superior roster depth and starting pitching compared to Twins based on historical trends through 2025. Home team has shown...

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Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 60% Los Angeles Dodgers W

Based on training data through my knowledge cutoff, the Los Angeles Dodgers are historically a dominant force in MLB, known for their strong...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 55% Los Angeles Dodgers W

The Los Angeles Dodgers are a historically strong team, and while the Minnesota Twins can be competitive, the Dodgers generally hold an edge...

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DeepSeek V3 DeepSeek V3 65% Los Angeles Dodgers W

The Dodgers have a historically stronger lineup and deeper pitching rotation compared to the Twins. Although the game is in Minnesota, LA's...

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Model confidence

Conviction in pick · Match winner
GPT-5 Mini

GPT-5 Mini

Los Angeles Dodgers

68
DeepSeek V3

DeepSeek V3

Los Angeles Dodgers

65
Grok 4 Fast

Grok 4 Fast

Los Angeles Dodgers

62
GPT-4o Mini

GPT-4o Mini

Los Angeles Dodgers

60
Gemini 2.5 Flash

Gemini 2.5 Flash

Los Angeles Dodgers

60
Claude Haiku 4.5

Claude Haiku 4.5

Los Angeles Dodgers

58
Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite

Los Angeles Dodgers

55

Model track records

Lifetime

Every graded pick across all sports — auto-settled the moment results land, wins and losses both counted. Ranked by win rate.

GPT-5
GPT-5 145–91 · 61%
+67.5u
Claude Opus 4.8
Claude Opus 4.8 154–115 · 57%
-17.4u
GPT-4o Mini
GPT-4o Mini 1056–802 · 57%
-605.9u
GPT-5 Mini
GPT-5 Mini 692–586 · 54%
-365.1u
Gemini 3.1 Pro
Gemini 3.1 Pro 130–112 · 54%
+111.8u
o4-mini
o4-mini 90–78 · 54%
+69.7u
Claude Opus 4.6
Claude Opus 4.6 193–173 · 53%
-47.6u
Grok 4.3
Grok 4.3 132–124 · 52%
+93.6u
Claude Opus 4.7
Claude Opus 4.7 183–176 · 51%
-63.5u
Gemini 2.5 Flash
Gemini 2.5 Flash 1130–1110 · 50%
-924.7u
Grok 4 Fast
Grok 4 Fast 741–743 · 50%
-501.5u
DeepSeek V3
DeepSeek V3 1032–1055 · 49%
-746.4u
Claude Sonnet 4.6
Claude Sonnet 4.6 459–482 · 49%
-323.7u
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite 876–930 · 49%
-728.8u
Claude Haiku 4.5
Claude Haiku 4.5 1018–1093 · 48%
-930.0u
Gemini 2.5 Pro
Gemini 2.5 Pro 151–179 · 46%
-73.8u

Units = net profit at flat 1-unit stakes. The full sortable board lives on the leaderboard.

Verifiable brief

Identical prompt sent to every AI · SHA-256 verified

hash: 95bbb69f72890db4…
Kickoff
Mon, Jun 22 · 23:40 GMT+0000
Markets
Match winner · Over / Under · Spread · First 5 innings
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_five_innings

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": 5127,
        "sport": "baseball",
        "venue": null,
        "league": "MLB",
        "starts_at": "2026-06-22T23:40:00+00:00",
        "starts_at_human": "Mon, 22 Jun 2026 23:40:00 GMT"
    },
    "teams": {
        "away": "Los Angeles Dodgers",
        "home": "Minnesota Twins"
    },
    "version": "v1",
    "built_at": "2026-06-19T05:48:57+00:00",
    "market_consensus": {
        "h2h": [],
        "note": "No bookmaker consensus available at build time — predict from public knowledge.",
        "extra_markets": []
    },
    "markets_requested": [
        "h2h",
        "totals",
        "spreads",
        "first_five_innings"
    ],
    "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

Unlock sources · Pro

Recent recaps

How the AI lineup did on other recent matches.

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