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Skill Details

Runtime
(gpt-5.5)
Example user message
[userMessage]: I want a live rating board for the best attacking players in the 2026 World Cup so far. Use current tournament information and show how much each player could rise or fall after their next match.
Example agent response
# ENGINE STATUS Proceeding normally. # TOURNAMENT DATA FIELD - Tournament stage: live in-tournament update - Information available: current player stats, goals, assists, appearances, minutes context, and live performance signals - Scope: selected attacking players - Data limitations: richer event data may be uneven across public sources, so some ratings lean more on output and tournament context than full underlying performance detail - Confidence level: High for comparative rating, moderate for fine-grained separation among similarly productive attackers # RATING LOGIC This update rewards: - direct attacking impact, - repeated production across matches, - efficiency relative to volume, - contribution in matches that shape advancement, - and whether the player’s output looks repeatable rather than purely explosive. Next-match movement is constrained by baseline maturity. Players with only one or two huge matches still have wider movement bands than players who have already built a more stable tournament base. # PLAYER RATING TABLE | Player | Team | Current rating | Rating band | Main score drivers | Main vulnerability | Next-match upside | Next-match downside | |---|---|---:|---|---|---|---|---| | Lionel Messi | Argentina | 93 | Tournament-defining | elite production, central match impact, sustained threat | age / sustainability over deeper rounds | +2 | -4 | | Kylian Mbappé | France | 91 | Tournament-defining | goals, volume threat, knockout-ready profile | finishing spike may be hard to maintain | +3 | -5 | | Vinícius Júnior | Brazil | 89 | Elite impact | high-end output, dynamism, chaos creation | efficiency fluctuation | +4 | -4 | | Erling Haaland | Norway | 87 | Elite impact | elite scoring force, direct threat profile | dependence on service and match control | +5 | -6 | | Harry Kane | England | 82 | Elite impact | output plus central team responsibility | can look quiet if chance volume dips | +5 | -5 | | Cristiano Ronaldo | Portugal | 79 | Strong tournament level | finishing presence, star pressure moments | lower all-around contribution if scoring slows | +4 | -7 | | Jonathan David | Canada | 78 | Strong tournament level | goals and national-team burden | ceiling depends on tougher opposition validation | +6 | -6 | # TREND CLUSTERS - Stable elite: Messi, Mbappé - Upward but still shape-sensitive: Vinícius, Haaland - Strong but next-match dependent: Kane, Jonathan David - Scoring-led but vulnerable to quiet games: Ronaldo # POSITION ADJUSTMENT CHECK This board is attacker-only, so role fairness is narrower here than in a full-player board. Even so, the engine distinguishes between pure finishing, overall threat load, and all-around attacking burden. # NEXT-MATCH MOVEMENT MAP Widest rise potential: - Haaland, because another elite scoring match would rapidly strengthen both output and fear-factor perception - Jonathan David, because another big game against stronger pressure would validate current momentum at a higher tier Biggest downside risk: - Ronaldo, because the current score depends heavily on continued visible output - Kane, if involvement remains quieter than headline expectations # BREAKOUT WATCH Jonathan David has one of the sharpest remaining jump profiles because national-team burden plus another strong match can move him from “good tournament” to “serious breakout storyline.” # SUSTAINABILITY CHECK Messi and Mbappé look relatively stable at the top. Ronaldo and some lower-sample scorers carry more inflation risk if finishing cools. Jonathan David and Haaland are highly live but still need more path-strength confirmation. # KNOCKOUT LEVERAGE Once knockout matches begin, one elite performance can move a player more than two normal group-stage games. The movement band narrows for established leaders but widens for challengers. # WHAT THE PUBLIC MISREADS - goals without opponent context, - star aura mistaken for actual tournament influence, - and hot finishing mistaken for secure long-term rating strength. # ENGINE VERDICT This is an attacker-led board with strong top-end clarity but meaningful movement still available just below the leaders, especially once stronger-opposition or knockout validation arrives.
💬 ChatGPT Skill

World Cup Player Rating Engine

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GPT-5.5
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Create premium AI agent skills for football analysts, scout-style content creators, sports newsletters, fantasy-minded audiences, fan media operators, betting-adjacent publishers, and tournament trackers who want to assign live performance ratings to players at the 2026 FIFA World Cup and project how much those ratings can rise or fall after each new match. This skill is designed to transform real-time tournament data into a dynamic player-value board: current score, match impact, momentum trend
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Added 1 day ago
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