Don't miss the next pick — Sign up free →
ModelFights

Saved matches

Stored on this device — no account needed.

Keep these saved across devices

Free account syncs your bookmarks + lets you join the prize comp.

Sign up free →
saved · tap to view
Get started
Tennis Singapore Tennis Open presented by BNP Paribas
Upcoming · in 35h 50m
FF

Fiona FerrovsTalia Gibson

TG
Chat with the AIs Ask why they picked — live
Kickoff Locked 15picks AIs split

Your call

Who wins? One tap, no signup.

AI predictions

Ask the AIs

Who picked what

32 models × 2 markets · click a row to see reasoning

Match winner

Consensus
Talia Gibson 2/5
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 62% Fiona Ferro

Fiona Ferro is the more established player on the WTA tour with superior hard-court credentials and consistency at mid-tier events like Sing...

Unlock reasoning · Pro
Claude Haiku 4.5 Claude Haiku 4.5 62% Fiona Ferro

Fiona Ferro is the more established player on the WTA tour with superior hard-court credentials and consistency at mid-tier events like Sing...

Unlock reasoning · Pro
GPT-5 GPT-5 Pro
GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini —
GPT-4o Mini GPT-4o Mini —
o4-mini o4-mini Pro
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 58% Talia Gibson

Talia Gibson is the younger and higher-upside player entering 2026 with strong recent hard-court results; Fiona Ferro has shown inconsistenc...

Unlock reasoning · Pro
Grok 4 Fast Grok 4 Fast 58% Talia Gibson

Talia Gibson is the younger and higher-upside player entering 2026 with strong recent hard-court results; Fiona Ferro has shown inconsistenc...

Unlock reasoning · Pro
Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 55% Fiona Ferro

This prediction is based on training data prior to my last update, as the match is in 2026. Fiona Ferro, a more experienced player with a so...

Unlock reasoning · Pro
Gemini 2.5 Flash Gemini 2.5 Flash 55% Fiona Ferro

This prediction is based on training data prior to my last update, as the match is in 2026. Fiona Ferro, a more experienced player with a so...

Unlock reasoning · Pro
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 65% Ferro

Fiona Ferro is a more established player on the WTA tour with a history of better performances, particularly on hard courts which are likely...

Unlock reasoning · Pro
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 65% Ferro

Fiona Ferro is a more established player on the WTA tour with a history of better performances, particularly on hard courts which are likely...

Unlock reasoning · Pro
DeepSeek V3 DeepSeek V3 62% Talia Gibson

No live access, so this is based on training knowledge through 2025-09. Gibson, a young Australian, has been trending upward on hard courts...

Unlock reasoning · Pro
DeepSeek V3 DeepSeek V3 62% Talia Gibson

No live access, so this is based on training knowledge through 2025-09. Gibson, a young Australian, has been trending upward on hard courts...

Unlock reasoning · Pro

Over / Under

Consensus
2 2/10
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.7 Claude Opus 4.7 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.6 Claude Opus 4.6 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Opus 4.8 Claude Opus 4.8 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Sonnet 4.6 Claude Sonnet 4.6 Pro
Claude Haiku 4.5 Claude Haiku 4.5 58% Over 2.5

Both players have competitive hard-court games capable of taking sets in tight conditions. Ferro's experience and serve give her an edge, bu...

Unlock reasoning · Pro
Claude Haiku 4.5 Claude Haiku 4.5 58% Over 2.5

Both players have competitive hard-court games capable of taking sets in tight conditions. Ferro's experience and serve give her an edge, bu...

Unlock reasoning · Pro
GPT-5 GPT-5 Pro
GPT-5 GPT-5 Pro
GPT-5 Mini GPT-5 Mini —
GPT-5 Mini GPT-5 Mini —
GPT-4o Mini GPT-4o Mini —
GPT-4o Mini GPT-4o Mini —
o4-mini o4-mini Pro
o4-mini o4-mini Pro
Grok 4.3 Grok 4.3 Pro
Grok 4.3 Grok 4.3 Pro
Grok 4 Fast Grok 4 Fast 62% under 2.5

Gibson is expected to win in straight sets given superior current form and surface suitability. Both players have histories of straight-set...

Unlock reasoning · Pro
Grok 4 Fast Grok 4 Fast 62% under 2.5

Gibson is expected to win in straight sets given superior current form and surface suitability. Both players have histories of straight-set...

Unlock reasoning · Pro
Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 3.1 Pro Gemini 3.1 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Pro Gemini 2.5 Pro Pro
Gemini 2.5 Flash Gemini 2.5 Flash 55% Over 2.5 sets

Based on my training data, both players possess qualities that could lead to a drawn-out match. Ferro's consistency combined with Gibson's a...

Unlock reasoning · Pro
Gemini 2.5 Flash Gemini 2.5 Flash 55% Over 2.5 sets

Based on my training data, both players possess qualities that could lead to a drawn-out match. Ferro's consistency combined with Gibson's a...

Unlock reasoning · Pro
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 68% Talia Gibson

Given Fiona Ferro's slight advantage and the likely competitive nature of the match, it's probable that it will go to a decider. While Ferro...

Unlock reasoning · Pro
Gemini 2.5 Flash-Lite Gemini 2.5 Flash-Lite 68% Talia Gibson

Given Fiona Ferro's slight advantage and the likely competitive nature of the match, it's probable that it will go to a decider. While Ferro...

Unlock reasoning · Pro
DeepSeek V3 DeepSeek V3 54% Under 21.5

A 2-0 result would likely land under 21.5 games, and even a close two-setter often stays below that number. Both players can serve well enou...

Unlock reasoning · Pro
DeepSeek V3 DeepSeek V3 54% Under 21.5

A 2-0 result would likely land under 21.5 games, and even a close two-setter often stays below that number. Both players can serve well enou...

Unlock reasoning · Pro

Model confidence

Conviction in pick · Match winner
Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite

Ferro

65
Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite

Ferro

65
Claude Haiku 4.5

Claude Haiku 4.5

Fiona Ferro

62
Claude Haiku 4.5

Claude Haiku 4.5

Fiona Ferro

62
DeepSeek V3

DeepSeek V3

Talia Gibson

62
DeepSeek V3

DeepSeek V3

Talia Gibson

62
Grok 4 Fast

Grok 4 Fast

Talia Gibson

58
Grok 4 Fast

Grok 4 Fast

Talia Gibson

58
Gemini 2.5 Flash

Gemini 2.5 Flash

Fiona Ferro

55
Gemini 2.5 Flash

Gemini 2.5 Flash

Fiona Ferro

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-5 290–182 · 61%
+135.0u
GPT-5
GPT-5 290–182 · 61%
+135.0u
Claude Opus 4.8
Claude Opus 4.8 308–230 · 57%
-34.8u
Claude Opus 4.8
Claude Opus 4.8 308–230 · 57%
-34.8u
GPT-4o Mini
GPT-4o Mini 2446–1994 · 55%
-1,601.7u
GPT-4o Mini
GPT-4o Mini 2446–1994 · 55%
-1,601.7u
GPT-5 Mini
GPT-5 Mini 1474–1258 · 54%
-816.2u
GPT-5 Mini
GPT-5 Mini 1474–1258 · 54%
-816.2u
Gemini 3.1 Pro
Gemini 3.1 Pro 260–224 · 54%
+223.5u
Gemini 3.1 Pro
Gemini 3.1 Pro 260–224 · 54%
+223.5u
o4-mini
o4-mini 180–156 · 54%
+139.4u
o4-mini
o4-mini 180–156 · 54%
+139.4u
Claude Opus 4.6
Claude Opus 4.6 386–346 · 53%
-95.2u
Claude Opus 4.6
Claude Opus 4.6 386–346 · 53%
-95.2u
Grok 4.3
Grok 4.3 264–248 · 52%
+187.2u
Grok 4.3
Grok 4.3 264–248 · 52%
+187.2u
Claude Opus 4.7
Claude Opus 4.7 366–352 · 51%
-127.1u
Claude Opus 4.7
Claude Opus 4.7 366–352 · 51%
-127.1u
Claude Sonnet 4.6
Claude Sonnet 4.6 918–964 · 49%
-647.5u
Claude Sonnet 4.6
Claude Sonnet 4.6 918–964 · 49%
-647.5u
Claude Haiku 4.5
Claude Haiku 4.5 2142–2300 · 48%
-1,974.1u
Claude Haiku 4.5
Claude Haiku 4.5 2142–2300 · 48%
-1,974.1u
Grok 4 Fast
Grok 4 Fast 3332–3618 · 48%
-3,134.9u
Grok 4 Fast
Grok 4 Fast 3332–3618 · 48%
-3,134.9u
Gemini 2.5 Flash
Gemini 2.5 Flash 4052–4448 · 48%
-4,077.3u
Gemini 2.5 Flash
Gemini 2.5 Flash 4052–4448 · 48%
-4,077.3u
DeepSeek V3
DeepSeek V3 4014–4588 · 47%
-3,970.9u
DeepSeek V3
DeepSeek V3 4014–4588 · 47%
-3,970.9u
Gemini 2.5 Pro
Gemini 2.5 Pro 302–358 · 46%
-147.7u
Gemini 2.5 Pro
Gemini 2.5 Pro 302–358 · 46%
-147.7u
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite 3376–4008 · 46%
-3,605.6u
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite 3376–4008 · 46%
-3,605.6u

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

Refresh the read

Team news

Re-run the AIs closer to kickoff and watch the read evolve. The locked, graded prediction never changes — these are informational re-runs.

Lineups change everything — Pro re-runs the AIs after they drop.

Confirmed XIs, late injuries and line moves land in the final hour. Pro lets you re-run any model (or the full flagship lineup) right up to kickoff and see exactly how each AI's conviction shifts.

Unlock with Pro Create a free account

Pro on-demand

Request an AI audit

Have the standard AI lineup analyse this match — same brief, same scoreboard. Predictions appear publicly once the run finishes.

Sign in and upgrade to Pro to request audits on any future match.

Sign in See Pro

Verifiable brief

Identical prompt sent to every AI · SHA-256 verified

hash: feeb2379d5421582…
Kickoff
Mon, Sep 21 · 04:00 GMT+0200
Markets
Match winner · Total sets · Total games
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 3. 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 3, in this order): h2h | totals_sets | totals_games

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": 46448,
        "sport": "tennis",
        "venue": null,
        "league": "Singapore Tennis Open presented by BNP Paribas",
        "starts_at": "2026-09-21T04:00:00+02:00",
        "starts_at_human": "Mon, 21 Sep 2026 02:00:00 GMT"
    },
    "teams": {
        "away": "Talia Gibson",
        "home": "Fiona Ferro"
    },
    "version": "v2",
    "sport_focus": [
        "Surface is paramount — weigh each player's record and movement on THIS surface (hard/clay/grass), not their overall ranking.",
        "Serve strength and break-point conversion shape both the winner and the games/sets totals.",
        "Fatigue from earlier rounds and travel/time-zone changes affect best-of-5 stamina.",
        "Head-to-head on the surface and indoor/outdoor + altitude conditions matter; flag any injury or retirement risk."
    ],
    "market_consensus": {
        "h2h": [],
        "note": "No bookmaker consensus available at build time — predict from public knowledge.",
        "extra_markets": []
    },
    "markets_requested": [
        "h2h",
        "totals_sets",
        "totals_games"
    ],
    "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.

Results settle automatically once the final score lands. Picks are permanent — no hindsight edits.

Share
Share X Reddit WhatsApp Telegram Facebook

Get the AI consensus before kickoff

Free. Pre-match alert per AI + see your picks graded as results land.

Sign up free →