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Basketball World Cup
Upcoming · in 81h 04m
Israel logo

IsraelvsGermany

Germany logo
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Kickoff Locked 24picks

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AI predictions

6 markets · 6 models picked

Consensus split

How the lineup voted · Match winner

6 picks
  • Germany 100% 6/6

Model confidence

Each model's confidence in its pick (%)

Who picked what

16 models × 6 markets · click a row to see reasoning

Match winner

Consensus
Germany 6/6
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 68% Germany

Germany is historically the stronger basketball nation with deeper roster talent and more consistent FIBA competition experience. Israel has...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini 75% Germany

Germany has a strong track record in recent matchups against Israel, including a decisive 89-69 victory in November 2025. With key players l...

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🔍 researched 4 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 73% Germany

Germany fields a deeper and more experienced roster than Israel based on historical international results. Israel lacks the star power to co...

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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 75% Germany

Germany is a dominant force in international basketball, having recently won the World Cup in 2023. Their roster depth and quality are super...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 55% Germany

Based on general training data, Germany is typically a stronger basketball nation than Israel in international competitions like the World C...

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DeepSeek V3 DeepSeek V3 75% Germany

Germany historically has a stronger basketball program and deeper talent pool than Israel, even without current form data. Germany's roster...

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Over / Under

Consensus
over 3/6
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 62% Under 170.5

FIBA World Cup basketball typically runs 10–15 possessions per team per half, producing combined totals in the 160–175 range depending on de...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini 60% Over

Both teams have shown a tendency to engage in high-scoring games, with Germany averaging 87.75 points in their recent matches and Israel ave...

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🔍 researched 4 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 58% over

Both teams play at above-average pace in FIBA events, inflating total possessions. Germany's perimeter shooting creates variance that pushes...

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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

While international basketball often sees lower scores due to different rule interpretations and physicality, a line of 158.5 is fairly low...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 53% over

Without specific game data, I'll assume a standard international basketball game pace and scoring. My training data suggests that many World...

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DeepSeek V3 DeepSeek V3 55% over

International basketball games, especially when one team is a heavy favorite, often see high-scoring affairs due to pace and three-point sho...

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Spread

Consensus
Germany 2/6
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 59% Germany -6.5

Germany's talent advantage and FIBA experience should manifest as a mid-single-digit spread in a neutral or Germany-favoring venue. A 6.5-po...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini 70% Germany -1

Given Germany's recent form and head-to-head advantage, they are likely to win by at least one point, making the -1 spread favorable for the...

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🔍 researched 4 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 68% Germany

Germany's talent edge projects to a 7-10 point margin in FIBA World Cup settings. Home-court advantage for Israel is modest and insufficient...

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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 65% Germany -8.5

Germany's consistent performance and significant talent advantage against Israel suggest they should comfortably win this match by more than...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 52% Germany

Given Germany's perceived strength advantage from the h2h market and assuming a typical competitive international game, they are more likely...

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DeepSeek V3 DeepSeek V3 60% Germany -10.5

Given Germany's talent advantage and Israel's lack of recent top-tier competition, a double-digit spread seems reasonable. Germany has the d...

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First half winner

Consensus
Germany 3/4
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 61% Germany -3.5

First halves in FIBA tournaments are typically tighter than full-game lines as both teams execute established schemes and rotations are deep...

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GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini 65% Germany

Germany's strong start in recent games, including a 91-89 win over Croatia, indicates they are likely to lead at halftime. ([sofascore.com](...

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🔍 researched 4 sources cited
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 65% Germany

Germany typically establishes early leads through superior transition play and half-court execution. First-half totals and spreads historica...

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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 —
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite —
DeepSeek V3 DeepSeek V3 70% Germany

Germany typically starts strong due to disciplined execution and tactical superiority. Israel may struggle to keep up early as they adjust t...

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First half h2h

Consensus
Germany 1/1
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 —
GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini —
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast —
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 —
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 54% Germany

Assuming Germany has a stronger starting lineup and initial strategy, they are more likely to establish an early lead. This often translates...

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DeepSeek V3 DeepSeek V3 —

First half winner

Consensus
Germany 1/1
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 —
GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini —
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast —
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 70% Germany

Germany's superior talent and strategic approach typically allow them to control the game from the start and establish an early lead. They a...

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Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite —
DeepSeek V3 DeepSeek V3 —

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 96–72 · 57%
-14.6u
Claude Opus 4.8
Claude Opus 4.8 101–89 · 53%
-31.9u
GPT-4o Mini
GPT-4o Mini 552–533 · 51%
-384.4u
o4-mini
o4-mini 53–52 · 50%
-17.6u
GPT-5 Mini
GPT-5 Mini 402–405 · 50%
-207.1u
Claude Opus 4.7
Claude Opus 4.7 142–144 · 50%
-45.3u
Claude Opus 4.6
Claude Opus 4.6 142–147 · 49%
-42.1u
Gemini 2.5 Flash
Gemini 2.5 Flash 692–758 · 48%
-594.0u
DeepSeek V3
DeepSeek V3 685–757 · 48%
-457.4u
Claude Sonnet 4.6
Claude Sonnet 4.6 407–456 · 47%
-316.4u
Grok 4 Fast
Grok 4 Fast 522–591 · 47%
-364.3u
Grok 4.3
Grok 4.3 84–96 · 47%
-35.7u
Gemini 3.1 Pro
Gemini 3.1 Pro 77–92 · 46%
-36.4u
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite 532–640 · 45%
-452.6u
Claude Haiku 4.5
Claude Haiku 4.5 672–829 · 45%
-671.1u
Gemini 2.5 Pro
Gemini 2.5 Pro 108–151 · 42%
-78.6u

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

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Early read

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Verifiable brief

Identical prompt sent to every AI · SHA-256 verified

hash: d9aaf3595dcde921…
Kickoff
Fri, Jul 3 · 17:00 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": 9324,
        "sport": "basketball",
        "venue": null,
        "league": "World Cup",
        "starts_at": "2026-07-03T17:00:00+00:00",
        "starts_at_human": "Fri, 03 Jul 2026 17:00:00 GMT"
    },
    "teams": {
        "away": "Germany",
        "home": "Israel"
    },
    "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."
    ],
    "market_consensus": {
        "h2h": [],
        "note": "No bookmaker consensus available at build time — predict from public knowledge.",
        "extra_markets": []
    },
    "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

Unlock sources · Pro
  • Grok 4 Fast Grok 4 Fast
    0 tool calls · 0 sources

    No live web access — picked from training-data knowledge.

  • Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite
    0 tool calls · 0 sources

    No live web access — picked from training-data knowledge.

  • DeepSeek V3 DeepSeek V3
    0 tool calls · 0 sources

    No live web access — picked from training-data knowledge.

  • GPT-4o Mini GPT-4o Mini
    4 tool calls · 4 sources

    4 citations captured — unlock with Pro

  • Gemini 2.5 Flash Gemini 2.5 Flash
    0 tool calls · 0 sources

    No live web access — picked from training-data knowledge.

  • Claude Haiku 4.5 Claude Haiku 4.5
    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.

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