Pulling current player details into Tactico.


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Percentiles vs 669 wingers in our scored set (degenerate rows excluded from both sides)
Generated Sep 2, 2026, 03:43 AM · Three-agent consensus
This winger shows solid creation output (1.68 key passes/90, 0.4 big chances created/90, creationScore 61.19) combined with modest goal/assist production (0.28 goals/90, 0.28 assists/90). Volume across Premier League (2196 mins, 6G/8A) and Conference League (745 mins, 3G/1A) minutes reflects a blended cdi of 0.995, essentially league-average difficulty, so no meaningful uplift or discount applies to the rates shown. Finishing quality is a concern: finishingScore is low (39.32), and bigChancesMissed/90 (0.24) is more than half of bigChancesCreated/90 (0.4), suggesting inefficiency in front of goal relative to shots taken (2.02/90) producing only 0.28 goals/90. Physical and defensive contributions are weak for the role — duelSuccessRate is only 35% despite 2.39 duels/90, aerialsWon/90 is minimal (0.06), and defenseScore (23.66) and physicalDuelScore (35.47) are both low, though these are secondary for a winger. Progression (42.88) is below-baseline. Overall this is an adequate-to-solid creative winger profile with clear finishing and physical gaps, sustained across two competitions of similar difficulty.
Form score (72.29) is essentially flat vs Tactico Score (72.52), a -0.23 delta indicating stable trajectory rather than decline or improvement. Score confidence of 0.96 reflects a robust sample, minimizing small-sample uncertainty. However, sub-scores show wide dispersion (finishing 39.32, creation 61.19, progression 42.88, defense 23.66, physicalDuelScore 35.47), a spread of nearly 38 points signaling inconsistency across roles — this player is a creation-driven winger with weak defensive and physical duel contribution, which is a consistency concern rather than a form one. Data completeness is 83.3% with two missing fields (positionLabel, nationalityName), both identity-related and not indicative of performance data gaps or injury disruption. Competition load includes 745 minutes in continental Conference League play alongside 2196 domestic minutes — a real fatigue/rotation factor given a blended difficulty near 1.0, though not extreme. Overall this is a stable, reliable profile with low volatility in the headline score but notable cross-dimensional inconsistency.
StableCompetition context shows a clear top-flight sample: 2196 minutes in the Premier League (cdi 1.00) plus 745 minutes in the Europa Conference League (cdi 0.98), yielding a blended difficulty of 0.995 — essentially full-strength Premier League difficulty with a modest continental run added. This is a solid, high-difficulty domestic environment with some European testing, supporting confidence in the underlying scores. Role clarity is decent: low aerials (0.06/90) and clearances (0.15/90) alongside moderate creation output (bigChancesCreatedPer90 0.4, creationScore 61.19) align with a winger profile rather than a defensive or aerial-duel-heavy role, though duel success rate of 35% is unremarkable for a wide attacker expected to beat markers. Data completeness is 83% with only positionLabel and nationalityName missing — minor gaps, not affecting core metrics. Minutes totals (2196+745) suggest a large, near-full-season sample, reducing small-sample risk. No club-level goal/xG diff context applies here (player entity). Overall this is a broadly favorable, reliable context with strong league standard and clear role signal, just short of top-tier due to only Conference League European exposure rather than Champions League.
Positive contextAI insights are generated after the three-agent consensus runs. The Tactico Score and consensus analysis above are the authoritative evaluation.
| Season | Competition | Apps | Min | G | A | Rating |
|---|---|---|---|---|---|---|
| 2023/2024 | Premier League | 38 | 2,196 | 6 | 8 | 6.96 |
| 2022/2023 | Bundesliga | 33 | 2,716 | 9 | 8 | 7.30 |
| 2021/2022 |
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| Bundesliga |
| 32 |
| 2,773 |
| 13 |
| 12 |
| 7.22 |
| 2020/2021 | Bundesliga | 32 | 2,394 | 4 | 10 | 7.14 |
| 2019/2020 | Bundesliga | 28 | 1,767 | 5 | 5 | 7.07 |
| 2018/2019 | Ligue 1 | 25 | 1,130 | 2 | 6 | 6.96 |
| 2017/2018 | Serie A | 2 | 69 | — | — | 6.79 |
| Career | 190 | 13,045 | 39 | 49 | 7.13 | |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| @Crystal Palace5-0 | 5.70 | 87 | — | — | 2 | 0.24 |
| vsLiverpool3-3 | 8.20 | 90 | — | 1 | 3 | 0.26 |
| @Brighton & Hove Albion1-0 | 6.70 | 73 | — | — | 1 | 0.03 |
| vsChelsea2-2 | 6.30 | 56 | — | — | — | — |
| vsAFC Bournemouth3-1 | 8.00 | 89 | 1 | — | 3 | 0.77 |
| @Arsenal0-2 | 6.60 | 61 | — | — | 1 | 0.03 |
| vsBrentford3-3 | 6.60 | 8 | — | — | — | — |
| @Manchester City4-1 | 6.60 | 63 | — | — | 1 | 0.08 |
| vsWolverhampton Wanderers2-0 | 7.80 | 88 | 1 | 1 | 1 | 0.05 |
| @West Ham United1-1 | 7.40 | 45 | — | 1 | 1 | 0.03 |
*Rating = SportMonks metric
56 matches with shot data · totals + xG (not shot locations — SportMonks does not provide per-shot coordinates)
| Season | League | Apps | Min | G | A | xG | xA |
|---|---|---|---|---|---|---|---|
| 2023/2024 | Premier League | 38 | 2196 | 6 | 8 | — | — |
| 2022/2023 | Bundesliga | 33 | 2716 | 9 | 8 | — | — |
| 2021/2022 | Bundesliga | 32 | 2773 | 13 | 12 | — | — |
| 2020/2021 | Bundesliga | 32 | 2394 | 4 | 10 |
| — |
| — |
| 2019/2020 | Bundesliga | 28 | 1767 | 5 | 5 | — | — |
| 2018/2019 | Ligue 1 | 25 | 1130 | 2 | 6 | — | — |
| 2017/2018 | Serie A | 2 | 69 | — | — | — | — |