Pulling current player details into Tactico.

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Percentiles vs 624 strikers in our scored set (degenerate rows excluded from both sides)
Generated Sep 2, 2026, 05:43 PM · Three-agent consensus
Sample is entirely Champions League fixtures (1097 mins, 6 goals, 3 assists), a high-difficulty competition (cdi 1.12), which adds weight to the 0.49 goals/90 and 0.25 assists/90 output — solid attacking involvement for a striker at elite continental level. Shot volume (2.63/90) is healthy but finishing efficiency is only moderate: finishingScore 50.84 and bigChancesMissed (0.66/90) roughly matching bigChancesCreated (0.16/90) plus goals suggests wastefulness relative to chances generated. Creation (34.7) and progression (16.9) scores are weak, consistent with a poacher-type profile rather than a creator. Physical numbers (3.28 aerials won/90, 4.59 duels won/90 at 47% success) are moderate, not standout. Defensive contribution (tackles 0.57/90, clearances 0.82/90) is marginal as expected for a striker. Critically, this is a partial-coverage cup run, not a full season — domestic league data is missing entirely, so this is a single-competition sample and confidence must be reduced accordingly despite the high cdi context.
Form score (71.14) sits just 0.97 above the multi-season Tactico Score (70.17), indicating a broadly stable trajectory rather than a clear improvement. Sub-scores show wide spread — finishing 50.84 vs progression 16.9 and defense 25.45 — a ~34-point range signaling role-based inconsistency, though this may partly reflect the striker archetype rather than pure volatility. Score confidence of 0.67 is moderate, but the competitionContext note is the key concern: coverage is partial, with only 1097 Champions League minutes recorded and the player's domestic league entirely outside the data subscription. This is a cup-run sample, not a season, so the 71.14 form score is built on a narrow, tougher-than-average (CDI 1.12) slice of competition — reliability of the current-form read is limited despite decent completeness (0.92) elsewhere. No availability/injury signal from missing fields (only nationalityName absent). Overall: mild positive trajectory, moderate consistency concerns, and a materially incomplete sample driving reduced confidence.
StableThe only competition data held is Champions League (1097 minutes, 6 goals, 3 assists, cdi 1.12) — a high-difficulty environment that would normally justify an upward adjustment. However, this is explicitly flagged as partial coverage: the player's domestic league is outside the data subscription, so this is a cup run sample, not a season. This means the fqScore/subScores are likely built on a fragmentary, non-representative slice of the campaign, undermining confidence in the environmental read despite the strong competition quality. Role bucket 'striker' is only partially corroborated by physical signals — aerials (3.28/90) and duels (4.59/90, 47% success) fit a target-forward profile, but low progression (16.9) and creation (34.7) scores plus minimal big chances created (0.16/90) suggest a narrower, more direct role, adding mild role ambiguity. Data completeness is nominally high (0.92) but this masks the deeper issue that entire domestic competition data is simply absent rather than missing at the field level. Sample size (1097 minutes) is reasonable for a cup run but not season-representative, so context confidence must stay moderate-low.
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 |
|---|---|---|---|---|---|---|
| 2026/2027 | Champions League | 2 | 210 | — | — | 6.72 |
| 2025/2026 | Champions League | 14 | 1,097 | 6 | 3 | 6.99 |
| 2024/2025 |
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| Europa League |
| 14 |
| 1,033 |
| 7 |
| 1 |
| 7.15 |
| Career | 30 | 2,340 | 13 | 4 | 7.04 | |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| @LASK Linz5-1 | 6.66 | 120 | — | — | 2 | 0.21 |
| vsLASK Linz3-0 | 6.56 | 90 | — | — | 1 | 0.20 |
*Rating = SportMonks metric
2 matches with shot data · totals + xG (not shot locations — SportMonks does not provide per-shot coordinates)
| Season | League | Apps | Min | G | A | xG | xA |
|---|---|---|---|---|---|---|---|
| 2026/2027 | Champions League | 2 | 210 | — | — | — | — |
| 2025/2026 | Champions League | 14 | 1097 | 6 | 3 | — | — |
| 2024/2025 | Europa League | 14 | 1033 | 7 | 1 | — | — |