Pulling current player details into Tactico.


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Percentiles vs 648 wingers in our scored set (degenerate rows excluded from both sides)
Generated Aug 3, 2026, 11:15 AM · Three-agent consensus
This winger shows moderate production with goals/90 of 0.16 and assists/90 of 0.05, yielding 0.21 goal contributions/90—below expectations for an attacking winger. Key passes/90 at 1.15 indicates some creative involvement but the creationScore of 20.95 and finishingScore of 25.49 reveal significant weaknesses in both chance creation and conversion. The physicalDuelScore of 57.24 and tackles/90 of 0.93 suggest reasonable defensive work rate for the position. However, critical attacking metrics (shotsTotal, bigChancesCreated, bigChancesMissed, duelsWon, aerialsWon) are all null, limiting full assessment of finishing efficiency and physical dominance. The average rating of 6.92/10 aligns with a player meeting baseline but not excelling. Data completeness is strong (0.91) and confidence is high (0.76), but the missing shot and chance data prevents higher scoring. Overall, adequate positional contributions with clear gaps in end-product efficiency.
Current form score (61.52) sits 4.37 points below the multi-season Tactico Score (65.89), signaling a declining trajectory. The sample is moderately reliable (confidence 0.69), but not robust enough to rule out volatility. Sub-score variance is notable: finishing (25.49) and creation (20.95) are weak, while progression (47.73) and physical duels (57.24) are stronger—indicating inconsistent output across attacking dimensions. Defense score (40.02) sits mid-range. For a winger, the low finishing and creation scores paired with declining form suggest reduced attacking threat. Data completeness is strong (90.9%), so missing fields are not a major concern. Overall: moderate form decline with uneven skill distribution and medium sample reliability.
DecliningRole bucket 'winger' is clearly defined, reducing ambiguity. However, the physical profile is entirely null (aerials, duels, clearances, big chances created all missing), which severely limits the ability to verify role alignment or infer league difficulty from physical contest intensity. The completeness score of 91% suggests most data fields are present, but the absence of key physical metrics creates a gap in environmental assessment. The FQ Score of 65.89 sits in mid-tier range, but without physical contest data or sample size information, it is difficult to infer whether this reflects a high-difficulty league with moderate performance or a lower-difficulty environment. The sub-score profile shows moderate spread (10.33), with progression (47.73) and physical duel (57.24) leading, but finishing (25.49) and creation (20.95) lagging—consistent with a winger role but not exceptional. Data is marked as not fresh and public-ready, suggesting stable but possibly dated context. The missing physical profile and lack of sample size metadata reduce confidence in the environmental read. Context is neutral to slightly unfavorable due to verification gaps.
Neutral 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 |
|---|---|---|---|---|---|---|
| — | Bundesliga | 32 | 1,638 | 3 | 1 | 6.89 |
| — | Bundesliga | 7 | 145 | — | — | 6.54 |
| Career | ||||||
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Tactico Score, form, confidence, and season stats compared side by side.
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| 39 |
| 1,783 |
| 3 |
| 1 |
| 6.86 |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| @Borussia Dortmund3-2 | — | — | — | — | — | — |
| @VfL Wolfsburg2-1 | — | — | — | — | — | — |
| @SC Freiburg2-1 | — | — | — | — | — | — |
| vsBorussia Mönchengladbach0-4 | 6.58 | 46 | — | — | — | — |
| @Eintracht Frankfurt2-0 | 6.63 | 30 | — | — | 2 | 0.14 |
| vsTSG Hoffenheim0-3 | 6.42 | 27 | — | — | 1 | 0.03 |
| @Werder Bremen1-0 | — | — | — | — | — | — |
| vsBayer 04 Leverkusen1-2 | 6.61 | 9 | — | — | — | — |
| @VfB Stuttgart2-0 | 6.47 | 28 | — | — | 1 | 0.26 |
| vsFC Augsburg2-1 | — | 2 | — | — | — | — |
*Rating = SportMonks metric
23 matches with shot data · totals + xG (not shot locations — SportMonks does not provide per-shot coordinates)
| Season | League | Apps | Min | G | A | xG | xA |
|---|---|---|---|---|---|---|---|
| 2025/2026 | Bundesliga | 7 | 145 | — | — | — | — |
| 2024/2025 | Bundesliga | 32 | 1638 | 3 | 1 | — | — |