Pulling current player details into Tactico.


Sums exactly — base plus adjustments equals the score. Deterministic, versioned, never AI-generated. Full method →
Percentiles vs 275 attacking midfielder creator in our scored set (degenerate rows excluded from both sides)
Generated Aug 3, 2026, 10:15 AM · Three-agent consensus
For an attacking midfielder/creator, the evidence shows significant gaps in offensive production metrics. Key passes at 2.1/90 is moderate but not elite. Critical attacking metrics are missing: goals/90, assists/90, shots/90, big chances created/90, and big chances missed/90 are all null, making it impossible to assess finishing quality or goal contribution. The creationScore of 49.09 and finishingScore of 23.57 suggest below-baseline offensive output. The physicalDuelScore of 8.5 indicates very poor physical engagement. Tackles at 2.1/90 and defenseScore of 53.9 show some defensive work rate, but this doesn't compensate for the role's primary responsibility: creating and scoring. The fqScore of 60.48 and currentFormScore of 59.45 place the player in adequate territory, but missing production data prevents confirmation. With scoreConfidence at 0.52 (medium), the incomplete dataset limits certainty. The player appears to meet baseline creation expectations minimally but lacks evidence of elite or even strong attacking production.
Current form score (59.45) sits 1.03 points below the multi-season Tactico Score (60.48), indicating a slight declining trajectory. Score confidence of 0.52 suggests moderate sample size—adequate but not robust, introducing some uncertainty. Sub-score variance reveals significant inconsistency: defense (53.9) and creation (49.09) are reasonable, but finishing (23.57), progression (27.51), and physical duels (8.5) are notably weak. This 45-point spread from lowest to highest dimension signals a volatile, specialist profile rather than well-rounded consistency. Data completeness is strong at 91%, though the profile is stale (not fresh, ~9 days old). Missing physical duel metrics (aerials, duel success rate) limit full volatility assessment. For an attacking midfielder/creator, the weak finishing and progression scores paired with poor physical output suggest form limitations in key creative phases beyond pure chance creation.
DecliningRole bucket 'attacking_midfielder_creator' is clearly defined, and the sub-score profile aligns well: creationScore (49.09) is the dominant offensive dimension, with defenseScore (53.9) reflecting typical two-way midfield duties. However, the entire physical profile is null—no aerials, duels, clearances, or big chances created data—which severely limits verification of role alignment and league difficulty inference. The FQ Score (60.48) and form score (59.45) are tightly clustered, suggesting stable baseline context, but score confidence is low (0.52), flagging underlying data quality concerns. Completeness is strong at 91%, with only nationality missing, yet the absence of all physical metrics suggests either a low-difficulty league with sparse tracking or a small/unreliable sample. The sub-score spread (12.98) is moderate, indicating some role clarity, but without physical evidence or sample size, league difficulty remains opaque. Context is neutral-to-slightly-unfavorable: clear role label but unverifiable environment and thin physical evidence.
Challenging contextAn attacking midfielder in the Bundesliga sitting at 60.48 on the Tactico Scale — adequate starter territory — with a profile defined more by what is missing than what stands out. With only 386 minutes across 13 matches this season, the dataset is thin, and a confidence score of 0.52 means all readings carry meaningful uncertainty. The most distinctive feature is a severe imbalance: a physicalDuel sub-score of 8.5 and finishing sub-score of 23.57 in a role that demands both creative and physical engagement.
The Tactico Score of 60.48 is primarily anchored by the creation sub-score (49.09) as the highest offensive dimension, but that figure itself sits below the midpoint of the scale — meaning the player's core role responsibility is not being met at an above-baseline level. The absence of goals/90 and assists/90 data further prevents any upward revision.
Form score (59.45) sits 1.03 points below the Tactico Score (60.48), placing this player in stable-to-marginally-declining territory — well within the ±5 threshold for a stable read. However, with confidence at 0.52 and data reported as approximately 9 days old, this stability reading should be treated as tentative rather than confirmed.
Both sit within one point of each other on the Tactico Scale (61.04 vs 60.48), reflecting similarly adequate-but-unspectacular attacking mid profiles; Jeong's score carries more data reliability given his higher minutes profile.
Hofmann's 61.64 Tactico Score places him in the same adequate-starter band, with comparable creation output expectations for a Bundesliga attacking role; Hofmann's profile benefits from a fuller physical data set that this player currently lacks.
Gómez Bordonado scores 61.77 — the closest ceiling comparison in this peer group — and shares a similar creation-led role profile, though his score is derived from a different league context that may reflect a lower difficulty environment.
| Season | Competition | Apps | Min | G | A | Rating |
|---|---|---|---|---|---|---|
| — | Bundesliga | 25 | 1,311 | 3 | 7 | 7.00 |
| — | Bundesliga | 13 | 386 | — | — | 6.82 |
| — |
A physicalDuel sub-score of 8.5 is a clear weakness for a Bundesliga attacking midfielder, where ground-level contest ability is a baseline expectation. No aerial or duel success rate data is available to contextualize this further, but the score alone signals near-total absence of physical engagement output.
A finishing sub-score of 23.57 is well below baseline for this role. Goals/90 data is null, so the exact production rate cannot be confirmed, but the sub-score reflects a meaningful gap in the primary attacking output dimension.
A progression sub-score of 27.51 indicates limited ball-carrying or line-breaking contribution — a significant gap for a creator role where advancing play through the thirds is a core function.
Top 50 players by Tactico Score — filter by position, form, and confidence.
Tactico Score, form, confidence, and season stats compared side by side.
Every Tactico Score is deterministic and traceable. Read the full methodology.
Paste, screenshot, or build your 15 — Scout ranks your XI and captain with an xPts model validated on four seasons. Its own squad is committed before every deadline on the official game. No account required.
| Bundesliga |
| 25 |
| 1,517 |
| 3 |
| 1 |
| 6.94 |
| — | Bundesliga | 20 | 968 | 2 | 1 | 6.85 |
| Career | 83 | 4,182 | 8 | 9 | 6.93 | |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| vsTSG Hoffenheim3-2 | — | — | — | — | — | — |
| @VfL Wolfsburg1-0 | 6.43 | 3 | — | — | — | — |
| vsHeidenheim1-1 | — | — | — | — | — | — |
| @FC Köln2-1 | — | — | — | — | — | — |
| vsDarmstadt 982-2 | — | — | — | — | — | — |
| @FSV Mainz 052-0 | — | — | — | — | — | — |
| vsSC Freiburg1-2 | 6.73 | 60 | — | — | 1 | 0.03 |
| vsRB Leipzig1-4 | — | — | — | — | — | — |
| @Borussia Mönchengladbach5-2 | 6.43 | 32 | — | — | — | — |
| vsFC Bayern München3-2 | 7.14 | 10 | — | — | 1 | — |
*Rating = SportMonks metric
16 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 | Bundesliga | 13 | 386 | — | — | — | — |
| 2022/2023 | Bundesliga | 25 | 1311 | 3 | 7 | — | — |
| 2021/2022 | Bundesliga | 20 | 968 | 2 | 1 | — | — |
| 2020/2021 | Bundesliga | 25 | 1517 | 3 | 1 |
| — |
| — |