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MLB
Final 5–0
Athletics logo

AthleticsvsLos Angeles Angels

Los Angeles Angels logo
Chat with the AIs Ask why they picked — live
Final5–0 Locked 32picks · 18 graded AIs split
Recap Consensus missed

Athletics 5–0 Los Angeles Angels

4 of 8 AIs leaned Los Angeles Angels — reality had other ideas.

AI lean
Los Angeles Angels 4/8
Correct calls
4/8
Final
5–0

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

Match winner

Consensus
Los Angeles Angels 4/8
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 55% Los Angeles Angels L

As of my training data (through September 2025), the Angels have shown stronger mid-season performance than the Athletics in recent years. T...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 61% Athletics W

Athletics enter with the better record (36-38) than the Angels (30-45) and are at home in West Sacramento where the preview lists Jeffrey Sp...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 65% Los Angeles Angels L

The Los Angeles Angels have a strong lineup and have been performing well recently, while the Athletics have struggled. The Angels' superior...

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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% Athletics W

Both clubs enter 2026 as rebuilding teams with sub-.500 records in prior seasons; Athletics hold home-field edge at their venue. Training da...

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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 62% Los Angeles Angels L

Based on historical team performance and roster strength captured in my training data, the Los Angeles Angels are generally the stronger tea...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 65% Los Angeles Angels L

Based on historical team performance and general knowledge up to my last update, the Los Angeles Angels have consistently outperformed the O...

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2 sources cited
DeepSeek V3 DeepSeek V3 55% Athletics W

Based on training data through June 2025, the Athletics have shown slightly better overall form despite a rebuilding year, while the Angels...

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Over / Under

Consensus
over 4/8
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% Over 9.0 L

MLB Friday night games in June typically see moderate scoring. Without pitcher matchups or park-specific data for June 2026, a total near 9...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 56% Under W

Both clubs carry middling team ERAs (Angels ~4.60, Athletics ~4.91 per previews) and the probable A's starter (Jeffrey Springs) profiles as...

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🔍 researched 5 sources cited
GPT-4o Mini GPT-4o Mini 60% over L

Both teams have potent offenses, and the Angels' pitching staff has been inconsistent, leading to higher-scoring games. The over is more lik...

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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 51% over

June night games in Oakland typically play at moderate run totals; both lineups feature power hitters who can combine for 9-plus runs. Histo...

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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 55% over L

Assuming a standard line of 8.5 runs, the Angels' potential for high offensive output combined with the Athletics' historically weaker pitch...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 55% over

While specific pitching matchups and recent scoring trends are not available, MLB games often have a moderate number of runs scored. Given t...

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2 sources cited
DeepSeek V3 DeepSeek V3 52% Over 8.5

Both teams have offenses that can score, but pitching staffs are injury-affected. The Angels' bullpen has been shaky, and the Athletics' rot...

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Spread

Consensus
Los Angeles Angels -1.5 2/8
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 48% Los Angeles Angels -1.5 L

A -1.5 spread for the Angels is tight, reflecting uncertainty. Without starting pitcher and lineup data, the slight lean to the Angels in h2...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 55% Los Angeles Angels +1.5 L

I expect a close game: while the Athletics are favored straight up, the Angels have enough offensive upside (Trout/Adell/Neto) to keep the m...

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

The Angels are likely to win by at least two runs, given their offensive strength and the Athletics' recent struggles. The spread favors the...

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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 52% Athletics

Athletics pitching staff shows marginally better home ERA in recent seasons per training data; Angels road performance historically lags. Sp...

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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% Los Angeles Angels -1.5 L

If the Angels are favored, their historical ability to win games by multiple runs makes covering the -1.5 spread a reasonable expectation. T...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 55% Athletics

Given that the Angels are favored in head-to-head, they are likely to be favored against the spread as well. However, baseball spreads can b...

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2 sources cited
DeepSeek V3 DeepSeek V3 65% Athletics +1.5 W

The Athletics are competitive in close games and have covered the spread frequently due to their low payroll scrappy style. The Angels are i...

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First 5 innings

Consensus
Los Angeles Angels 5/8
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 51% Los Angeles Angels

First-five-inning markets are highly dependent on starting pitcher quality and early-game lineup matchups. With no access to 2026 rotations...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini 52% Los Angeles Angels

First-five outcomes hinge on the starting pitchers; StatMuse lists Jeffrey Springs for the A's (5.13 ERA) which suggests the A's starter can...

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

The Angels' offense tends to start strong, and the Athletics' pitching staff has been inconsistent early in games. The Angels are likely to...

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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 51% Athletics

Early-inning scoring trends favor the home starter in Oakland per historical splits; Angels offense has been slow starters in away games. Tr...

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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 50% Los Angeles Angels

The First Five Innings heavily depend on starting pitching. Historically, the Angels have often fielded stronger starting rotations and more...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 60% Los Angeles Angels

The Los Angeles Angels' stronger historical performance suggests they are likely to have a better start to the game than the Athletics, lead...

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2 sources cited
DeepSeek V3 DeepSeek V3 55% Athletics

Starting pitching matchups are unknown, but the Athletics home bullpen is average. The Angels' early-game offense has been inconsistent agai...

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Model confidence

Conviction in pick · Match winner
GPT-4o Mini

GPT-4o Mini

Los Angeles Angels

65
Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite

Los Angeles Angels

65
Gemini 2.5 Flash

Gemini 2.5 Flash

Los Angeles Angels

62
GPT-5 Mini

GPT-5 Mini

Athletics

61
Claude Haiku 4.5

Claude Haiku 4.5

Los Angeles Angels

55
DeepSeek V3

DeepSeek V3

Athletics

55
Claude Sonnet 4.6

Claude Sonnet 4.6

Athletics

54
Grok 4 Fast

Grok 4 Fast

Athletics

53

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 1056–799 · 57%
-602.9u
GPT-5 Mini
GPT-5 Mini 690–586 · 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 1128–1109 · 50%
-923.7u
Grok 4 Fast
Grok 4 Fast 740–743 · 50%
-501.5u
DeepSeek V3
DeepSeek V3 1031–1055 · 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 876–927 · 49%
-725.8u
Claude Haiku 4.5
Claude Haiku 4.5 1017–1091 · 48%
-928.0u
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: ec36b0065f101ada…
Kickoff
Fri, Jun 19 · 01:40 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": 3749,
        "sport": "baseball",
        "venue": null,
        "league": "MLB",
        "starts_at": "2026-06-19T01:40:00+00:00",
        "starts_at_human": "Fri, 19 Jun 2026 01:40:00 GMT"
    },
    "teams": {
        "away": "Los Angeles Angels",
        "home": "Athletics"
    },
    "version": "v1",
    "built_at": "2026-06-16T05:49:47+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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