Brandon Royval
Lone'er Kavanagh
Sun 12 Jul, 1:00 am UTC
3:00 AM
Starts · GMT+2
6/28 AIs back Lone'er Kavanagh · 63.2%
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Value readAI consensus vs the market
On Lone'er Kavanagh
AI consensus63.2%
Market implied63.7%
-0.5%
AI edge

The market rates Lone'er Kavanagh higher than the AI consensus does — no edge on this pick.

The AI verdict
7 frontier models · 28 calls
ModelMatch winner
ConsensusLone'er Kavanagh6/7 models
Grok 4 FastFLAGSHIPxai · 48% · 4,469 graded · Lone'er Kavanagh62%
DeepSeek V3deepseek · 46% · 5,379 graded · Lone'er Kavanagh65%
GPT-4o Miniopenai · 54% · 2,296 graded · Lone'er Kavanagh65%
Gemini 2.5 Flashgoogle · 48% · 4,265 graded · Lone'er Kavanagh63%
GPT-5 Miniopenai · 53% · 1,424 graded · Lone'er Kavanagh62%
Claude Haiku 4.5anthropic · 48% · 2,333 graded · Lone'er Kavanagh62%
Gemini 2.5 Flash-Litegoogle · 46% · 3,706 graded · Brandon Royval62%

In-play snapshots

Match is live — run a model on the current state for an in-play read. Snapshots don't change the locked pre-match picks or the leaderboard.

These runs get a light read (recent form + market line). Pro feeds each model the full dossier — records, head-to-head, standings, profiles & line movement, so it picks on real evidence. Upgrade →
Grok 4 Fast
DeepSeek V3
GPT-5 Mini
Claude Haiku 4.5
GPT-4o Mini
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite

You're only charged when a model locks a prediction; technical failures are refunded automatically. No wagers, no payouts — we make the AIs predict and grade who's right.

Loading the model panel…
Market implied probabilityPolymarket · live
Brandon Royval
36%2.70
1
Draw
3%33.00
Lone'er Kavanagh
61%1.57
6
Order bookPolymarket CLOB · live
Loading live book…
Recent tradesPolymarket · live
Loading trades…
1X2Over/UnderBoth teams to scoreDouble chance

Moneyline (1X2) — best available price, with the market's implied probability.

OutcomeDecimalImpliedAI edge
Brandon Royval2.7037%—
Draw33.003%—
Lone'er Kavanagh1.5763.7%-0.5%

AI edge = the model consensus' probability minus the market's implied probability on the same outcome. Positive edge means the AIs rate it more likely than the book.

System instruction

You are a sports forecasting model. You are given identical structured facts about one match. Make an honest, calibrated prediction. You may not browse; use only the facts provided. Do not hedge — commit to one pick and a probability.

User brief (JSON) — sent byte-for-byte to every model

{
  "match": {
    "home": "Brandon Royval",
    "away": "Lone'er Kavanagh",
    "sport": "mma",
    "league": "UFC 329: McGregor vs. Holloway 2",
    "kickoff_utc": "2026-07-12T01:00:00.000Z",
    "venue": "T-Mobile Arena"
  },
  "market": {
    "type": "moneyline",
    "options": [
      "home",
      "draw",
      "away"
    ]
  },
  "bookmaker_odds": {
    "home": "2.7",
    "draw": "33",
    "away": "1.57"
  },
  "instructions": "Return your pick, a 0–100 confidence, a probability for each outcome, and one paragraph of reasoning."
}

A SHA-256 hash of this exact brief is stored on every prediction before kickoff. Nothing here changes after the result lands — hash it yourself to verify.

Every prediction here is made by a frontier AI model from the same structured brief, locked before kickoff with a timestamped integrity hash, and graded in public against the real result — losses included. No tips, no hindsight, no sportsbook money.