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TactiQ
Football Intelligence
Founding Beta

TactiQ is built around Player & Club Data, Match Intelligence, Predictive Modeling, and Research & Visualization — understand the system, not the surface.

Core
Club football as the permanent base
Launch
World Cup as the launch amplifier
Transparency
Public roadmap and visible system progress
The standard
Methodology →

Every score is deterministic, evidence-gated, and confidence-labelled. Football intelligence should be explainable — not a black box with a number on the front. The methodology is part of the product, not a legal page.

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Player Profile

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Player Profile

Oliver Baumann

TactiQ Score, per-90 performance stats, and multi-season form — with direct routes into compare and rankings.

Current Team
TSG Hoffenheim
Position
Goalkeeper
Date of Birth
Jun 2, 1990 (35)
Jersey Number
#1
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Oliver Baumann
Oliver Baumann
Current profile snapshot
Current Team
TSG Hoffenheim
Position
Goalkeeper
Date of Birth
Jun 2, 1990 (35)
Jersey Number
#1
TactiQ Score
71.2
91% confidence
TactiQ Score v2
71.2
Form Score
65.7
Confidence
91%
Role
goalkeeper
League
Bundesliga
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.03
Tackles
—
Rating
6.78
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A Bundesliga goalkeeper sitting at 62.8 on the FQ scale — adequate starter territory, but without standout markers that separate them from the positional baseline. Across 31 matches (2,790 minutes), the profile is defined by consistency rather than elite output, with no sub-score clearing the 70 threshold. The 0.91 score confidence means this read is reliable.

Why this score

The FQ score of 62.8 reflects a goalkeeper who meets positional baseline without exceeding it. All goalkeeper-specific sub-scores are null in the dataset, meaning the score is driven by aggregate output signals rather than granular shot-stopping or distribution metrics — a ceiling on how high this profile can be rated with current data.

Form Trajectory

Form score of 61.38 sits 1.4 points below the FQ score of 62.8 — within the ±5 stable band, indicating no meaningful directional shift. This is consistent, flat performance with no upward momentum.

Similar Profiles
Players with comparable scoring profiles in the same role
Alphonse Areola

Areola's FQ score of 62.77 is virtually identical, making him the closest statistical peer; the key difference is Areola operates as a backup at a Champions League club, while this player's Bundesliga context suggests a more active starting role.

Compare →
Guglielmo Vicario
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

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Compare
Put this player next to another and find the real edges.

TactiQ Score, form, confidence, and season stats compared side by side — instantly.

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Methodology
Understand exactly how this score was built.

Every TactiQ Score is deterministic and traceable. Read the full methodology behind the numbers.

View Methodology →
Latest available season snapshot

Live statistics currently available for this profile

6 metrics surfaced
Appearances
33
Minutes
2970
Key passes
1
Rating
6.78
Successful dribbles
2
Clean sheets
7
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2970 minutes suggest a significant current role in the squad rotation.
Save load
95 saves suggest a significant shot-stopping workload in current coverage.
2 Seasons Ago
TQ 74.8Form 74.9
Previous
TQ 66.2Form 66.2
Current
TQ 65.6Form 65.7
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.03
Tackles
—
Rating
6.78

Vicario scores marginally higher at 63.36, reflecting a similar adequate-starter profile; Vicario's higher-pressure Premier League environment distinguishes the competitive context.

Compare →
Gianluigi Donnarumma

Donnarumma's 63.9 FQ score places him in the same narrow band despite his significantly higher-profile status, suggesting current output metrics are converging at this tier regardless of reputation.

Compare →
Strengths
Where this player is genuinely above baseline
No clearly elite traits identified in current data.
Watchpoints
Real gaps relative to this player's role
Goalkeeping metrics visibility

All role-specific sub-scores (defense, shot-stopping, distribution) return null. This limits assessment to aggregate signals only — save percentage, clean sheet rate, and cross-claiming data are not available, making it impossible to identify specific technical strengths or weaknesses within the position.

Reading the score

What each number means

TactiQ Score

A 0–100 measure of overall quality. Combines statistical output with league difficulty, multi-season weighting, and a consistency factor. Target range for strong players: 70–85.

Form Score

Weighted toward recent matches. Can diverge from the TactiQ Score when current form is meaningfully stronger or weaker than the multi-season average.

Confidence

How much evidence supports this score. Lower confidence means thinner data — fewer seasons, fewer appearances, or gaps in coverage. A provisional score is real signal with appropriate caveats.

Methodology

TactiQ Scores are deterministic — given the same evidence, they produce the same output. The evidence packet system, confidence labels, and publication gate are all explained in full.

Read the full methodology →