العربيةSeason2025/262026 · this seasonAll seasons
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Player reportLigue 1 2026

Mousa Al Tamari

Rennes
Half-space creator AM
38% of actions in the half-spaces
Capability Analysis
Chance Creation63%vs 17 strikers
"Does he create real chances for others?"
Expected assists /900.09xA76%
Through balls /900.00%
Threat added by passing /900.59xT88%
Box entries (pass) /902.0388%
Box Threat18%vs 17 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.17xG0%
Shots /902.4641%
xGOT /900.2xGOT12%
Ball-Carrying75%vs 17 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /905.2788%
Carry distance /90141.52m88%
Successful take-ons /901.3188%
Take-on success32.0%35%
attacking midadvanced playmaker (8)creationbetween the lines
468
minutes
8 apps
8
key passes
1.54/90
2
progressive passes
0.4/90
5
box entries
0.96/90
4
final-3rd entries
0.8/90
0
goals
0.75 xG
20
dribbles
35% won
73%
pass completion
145 passes
Overview

The player

Who he is and how he compares with his peers.

01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
Left Wing, Attacking third — between the lines — mostly in the attacking third (65% of his 145 passes)
73% completion · 145× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
35% won · 20× in 6/8 matches
↓
CREATE
through-ball, cut-back, key pass
1.54/90 · 8× in 6/8 matches
↓
FINISH
arrive and shoot from central zones
0 goals · 0.75 xG · 11× in 5/8 matches
Signature: receive between the lines → turn → create or finish.
16

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
18
passes / match
3.3
dribbles / match
11–28
pass range (matches)
1–7
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (11 at the low end, 28 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

05

How dangerous are his carries?

Real ball-carries

62 tracked carries (11.9/90, 20 progressive, 800m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

2%8%16%16%5%2%2%3%3%3%18%13%10%
progressivelateral/short% of his 62 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 45m
By zone — where the carry started → where it ended
17Outside → Inside
14Inside → Inside
26Outside → Outside
5Inside → Outside
First (21)Second (19)Third (12)Fourth (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he carry to create or drift wide? Dribbles by channel. Season rate: 3.85 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 80%
OUTSIDE 20%
Dribble location — 16 inside · 4 outside
Right Wing
2 · 10%
Right Half-Space
5 · 25%
Central
3 · 15%
Left Half-Space
8 · 40%
Left Wing
2 · 10%
Vision AI His carries cluster centrally — a central creator.
02

How does he create chances?

8 key passes (1.54/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
12%25%62%
chance creation (8)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (5)from the right (3)of 8 key passes landing in the final thirdattacking ↑ toward goal
10

Where does he become vulnerable?

52 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

38
attacking third (cheap)
12
middle third
2
own third (dangerous)
Vision AI 73% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.54 danger-index/90 · 0.154 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03

Where Does He Receive?

The zones where Mousa Al Tamari gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
18%
Primary
Left Wing, Attacking third
18%
Secondary
Left Half-Space, Attacking third
14%
Third
Right Wing, Attacking third
These are the zones where he collected the ball most.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Mousa Al Tamari actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
54132832162861112142617
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

1%1%6%8%16%10%1%3%1%3%1%3%3%8%15%19%
own goal left, attacking →
11

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

8Key pass
1Cross
10Cutback
2Progressive
4Long ball
2Switch
By zone — where the pass started → where it landed
24Outside → Inside
37Inside → Inside
38Outside → Outside
7Inside → Outside
By direction
23Forward
65Backward
57Sideways
own goal left, attacking →
08

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
Where do his chances come from?
Of 8 key passes, his busiest route is a delivery where he plays inside from the left hs toward the central in the final third — 3 times. The receiver isn't identifiable in this data, only where the pass started and ended.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the right half-space in the final third: 56% of his 16 touches there are lost (9 times).
—1 touch · too few—2 touches · too few—0 touches · too few—1 touch · too few—3 touches · too few29%4/14 lost11%1/9 lost—4 touches · too few—7 touches · too few10%1/10 lost17%4/23 lost56%9/16 lost—4 touches · too few32%7/22 lost28%8/29 lostRWRHSCLHSLWDEFMIDATT
07

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 62 ball-carries, his dominant tendency is that he drives along the touchline (42%). He carries from outside into the middle 17 times and out toward the touchline 5 — a genuine inside forward who cuts in with the ball.
06

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
4 · 6%
Progressive / key pass
3 · 5%
Simple pass
31 · 50%
No clean link
24 · 39%
Of 62 carries, 6% flow straight into a shot of his own, 5% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 39% have no clean link to a next touch of his own close to where the carry ended.
09

Crosses & Cutbacks

1 crosses (0.19/90, 0 completed) and 10 cutbacks (1.92/90, 3 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

49 defensive actions across the season (9.4/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
5
tackles · 100% won
1
interceptions · 0.2/90
24
recoveries · 4.6/90
1
clearances · 0.2/90
2
blocks
56
avg action height
19
won high (att 3rd)
20
middle third
10
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 30 proactive ball-wins (5.8/90), tackle success 100%. He defends high, stepping out to intercept — suits a high line.

Defensive work in the attacking half

Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.

28
attacking-half actions · 5.38/90
12

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Mousa Al Tamari keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.2, 2m)
0.61
0.0
0.00
57%
Mid press (PPDA 5.0, 2m)
0.25
0.0
1.91
60%
Low press (PPDA 5.7, 4m)
0.54
0.7
2.01
0%
Team

Team context

How much of the team runs through him, and what changes without him.

14

Impact on the Team

Insufficient sample: Mousa Al Tamari played nearly every Rennes match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

15

His Share of the Team

Of everything Rennes produced this season, the categories where the biggest share ran through Mousa Al Tamari specifically — his share of the team total, not a per-90 rate.

category
share
him / team
successful take-ons
13%
40 / 297
shots
11%
75 / 700
box entries
9%
62 / 655
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 247 attacking mids in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Advanced playmaker (8)42%Half-space creator39%
Why Advanced playmaker (8) 42%: a weighted blend of creativity 45 (weight 35%) + progression 55 (weight 25%) + box threat 53 (weight 15%) + final-third threat 31 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central)
Strong
carrying
Average
through-balls, transition, progression, box threat, crossing, line-breaking, dribbling, defensive aggression, ball-winning, creativity, press resistance
Weak
retention, receiving zones, final-third threat, build-up, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
86
Carrying
79
Through-balls ~proxy
65
Transition ~proxy
59
Progression
55
Box threat
53
Crossing
51
Line-breaking
49
Dribbling
48
Defensive aggression
47
Ball-winning
46
Creativity
45
Press resistance ~proxy
41
Retention
39
Receiving zones
36
Final-third threat
31
Build-up
28
Passing directness
2
18

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 178 cm / 70 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the Ligue 1, Bundesliga, La Liga, Premier League and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Tajon Buchanan Villarreal · La Liga · 183 cm / 71 kg
75%
Driven by: passing directness (31%), territory (wide vs central) (23%), build-up (11%). Different mechanism — Tamari more via dribbling; Buchanan more via ball-winning.
Víctor Muñoz Liverpool · Premier League · 173 cm / 70 kg
68%
Driven by: carrying (22%), build-up (20%), territory (wide vs central) (18%). Different mechanism — Tamari more via through-balls; Muñoz more via dribbling, passing directness.
Giorgi Abuashvili Metz 25/26 · 175 cm / 68 kg
65%
Driven by: passing directness (36%), territory (wide vs central) (26%), carrying (12%). Different mechanism — Abuashvili more via build-up, retention.
Bryan Gil Girona · La Liga 25/26 · 175 cm / 60 kg
64%
Driven by: passing directness (37%), carrying (23%), territory (wide vs central) (21%). Different mechanism — Gil more via build-up, retention.
Dan Ndoye Nottingham Forest · Premier League · 184 cm / 72 kg
63%
Driven by: territory (wide vs central) (23%), passing directness (21%), build-up (15%). Different mechanism — Tamari more via through-balls, progression; Ndoye more via passing directness.
Mathys Tel Tottenham · Premier League · 183 cm / 77 kg
62%
Driven by: passing directness (27%), territory (wide vs central) (24%), carrying (22%). Different mechanism — Tel more via dribbling, final-third threat.
19

Summary

Mousa Al Tamari is an advanced playmaker (8): 1.54 key passes /90, 0.4 progressive passes, 0 goals from 0.75 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 8 matches (468 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) — best used in a system built around that identity. His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

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