TactiQ
Sign InGet Started
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.

Deterministic scoringMulti-agent consensus gatedPublication gate active
Core
PlayersClubsMatchesWorld Cup 2026Roadmap
Product
CompareRankingsForecastMethodologyMembership
Legal
PrivacyTerms© 2026 TactiQ. All rights reserved.
Player Profile

Loading player profile...

Pulling current player details into TactiQ.

Player Profile

Olivier Giroud

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

Current Team
LOSC Lille
Position
Centre Forward
Also: Striker
Date of Birth
Sep 30, 1986 (39)
Jersey Number
#9
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Olivier Giroud
Olivier Giroud
Current profile snapshot
Current Team
LOSC Lille
Position
Centre Forward
Also: Striker
Date of Birth
Sep 30, 1986 (39)
Jersey Number
#9
TactiQ Score
70.9
85% confidence
TactiQ Score v2
70.9
Form Score
63.0
Confidence
85%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.40
Assists
0.06
Key Pass
1.09
Tackles
0.63
Rating
6.83
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Ligue 1 striker sitting at 59.12 on the FQ scale — squarely in the adequate-starter band with clear limitations. Across 28 matches (1,549 minutes), he contributes 0.41 goals and 0.06 assists per 90, output that is serviceable but below the threshold of a reliable top-flight striker. With all sub-scores null, the picture is broad-brush: a player who functions without standing out in any measurable dimension.

Why this score

The 59.12 FQ score reflects mid-tier production volume with no sub-score dimension pulling the rating higher — finishing, creation, and progression data are all null, meaning no elite marker exists to elevate the overall figure. The per-90 goal rate of 0.41 and assist rate of 0.06 are consistent with a player at this score level rather than the 65+ range where stronger strikers cluster.

Form Trajectory

Form is in a soft decline: the form score of 54.24 sits 4.88 points below the FQ score of 59.12, just inside the stable-to-declining boundary. Recent output is running slightly below his own established baseline, warranting monitoring over the next 4–6 matches.

Similar Profiles
Players with comparable scoring profiles in the same role
Lucas Ariel Boyé

Nearly identical FQ scores (59.11 vs 59.12) place both players at the same mid-tier striker level, though Boyé's profile may differ in physical duel contribution given his style.

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

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

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

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

Compare Player →
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

10 metrics surfaced
Appearances
29
Minutes
1565
Goals
7
Assists
1
Key passes
19
Rating
6.83
Tackles
11
Shots on target
16
Successful dribbles
3
Clean sheets
12
2 Seasons Ago
TQ 69.6Form 72.7
Previous
TQ 73.7Form 74.4
Current
TQ 62.4Form 63.1
Per 90 minutes
Goals
0.40
Assists
0.06
Key Passes
1.09
Tackles
0.63
Rating
6.83
Enrique García Martínez

A slightly lower FQ score of 57.27 makes García Martínez a close peer in overall output tier, though the 1.85-point gap suggests marginally less consistent production than this player.

Compare →
Richarlison de Andrade

Richarlison's 61.48 FQ score represents the ceiling this player would need to approach — comparable role bucket and league-difficulty context, but Richarlison's higher score reflects meaningfully greater production volume.

Compare →
Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive outcomes
12 clean sheets are surfacing in the current live snapshot.
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
Goal contribution rate

0.41 goals and 0.06 assists per 90 across 1,549 minutes places total attacking output below what is typically expected of a reliable Ligue 1 starter at striker — combined contribution sits under 0.5 per 90, a meaningful gap for the role.

Creation involvement

1.1 key passes per 90 is a modest return for a striker and, without a creation sub-score to qualify it, suggests limited involvement in chance generation beyond his own finishing opportunities.

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 →