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Player reportLigue 1 2026

Tanner Tessmann

Lyon
Ball-winning 6 (destroyer) DM
16.9 defensive actions/90
defensive midtempo controllerpress resistancescreening
266
minutes
7 apps
124
passes
89% completed
89%
pass completion
124 passes
12
progressive passes
4.1/90
50
defensive actions
16.9/90
5
tackles + interceptions
33% tackle win
19
recoveries
6.4/90
10
line-breaking passes
3.4/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Tanner Tessmann has played 7 matches (266 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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
drop between the centre-backs — mostly in the middle third (65% of his 124 passes)
89% completion · 124× in 7/7 matches
↓
PROGRESS CENTRAL
break a line through the middle
4.1 prog/90 · 10× in 4/7 matches
↓
SCREEN / WIN BALL
protect the back four
8.1 ball-wins/90 · 24× in 7/7 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
3.7 f3-entries/90 · 11× in 5/7 matches
Signature: Receive → Progress Central → Screen / Win Ball → Recycle / Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: escape pressure — 3× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
13

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
16.9
def actions / 90
4–48
pass range (matches)
12
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 48 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

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

07

How dangerous are his carries?

Real ball-carries

27 tracked carries (9.1/90, 9 progressive, 292m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

11%15%15%22%11%4%4%11%7%
progressivelateral/short% of his 27 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 22m
By zone — where the carry started → where it ended
1Outside → Inside
25Inside → Inside
1Inside → Outside
First (14)Second (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

3
tackle duels
1
won
2
beaten · 67%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 33%
OUTSIDE 67%
Tackle-duel location — 1 inside · 2 outside
Right Wing
1 · 33%
Right Half-Space
1 · 33%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
1 · 33%
Vision AI beaten in 2 of 3 tackle duels (67% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

04

How does he create chances?

2 key passes (0.68/90), 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:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
03

Where does he become vulnerable?

17 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

6
attacking third (cheap)
4
middle third
7
own third (dangerous)
Vision AI 35% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.39 danger-index/90 · 0.416 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Tanner Tessmann 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
19%
Primary
Right Half-Space, Middle third
18%
Secondary
Left Half-Space, Middle third
17%
Third
Central, Middle third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Tanner Tessmann 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:
1412126121915644911123
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.

3%7%9%10%2%10%15%12%2%1%1%3%10%10%5%
own goal left, attacking →
08

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.

2Key pass
1Cross
12Progressive
10Long ball
10Switch
By zone — where the pass started → where it landed
6Outside → Inside
56Inside → Inside
12Outside → Outside
36Inside → Outside
By direction
62Forward
31Backward
31Sideways
own goal left, attacking →
02

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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the left wing toward the left hs in the final third — 1 passes worth 0.31 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he switches it out from the central to the left hs, advancing it forward in the middle third — 1 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 central in the defensive third: 50% of his 8 touches there are lost (4 times).
—6 touches · too few0%0/9 lost50%4/8 lost—6 touches · too few—1 touch · too few—6 touches · too few4%1/24 lost9%2/22 lost0%0/23 lost—6 touches · too few—0 touches · too few—4 touches · too few—1 touch · too few—6 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

10

How & where does he defend?

50 defensive actions across the season (16.9/90). 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 →
3
tackles · 33% won
2
interceptions · 0.7/90
19
recoveries · 6.4/90
12
clearances · 4.1/90
3
blocks
29
avg action height
3
won high (att 3rd)
18
middle third
29
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 24 proactive ball-wins (8.1/90), tackle success 33%. He defends deep, protecting his box — a last-line stopper.
09

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Tanner Tessmann still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 5.1, 2m)
88%
4.8
1.6
0.74
Mid press (PPDA 5.9, 2m)
93%
0.0
0.0
0.55
Low press (PPDA 7.3, 3m)
89%
4.2
5.5
1.05
Team

Team context

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

11

Impact on the Team

Lyon's output per match with Tanner Tessmann (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (1)
Δ
goals against /match
0.86
1.00
-0.14
points /match
1.86
1.00
+0.86
goals for /match
1.71
1.00
+0.71
xG for /match
1.37
1.45
-0.08
12

His Share of the Team

Of everything Lyon produced this season, the categories where the biggest share ran through Tanner Tessmann specifically — his share of the team total, not a per-90 rate.

category
share
him / team
ball recoveries
9%
137 / 1489
zone-14 entries
8%
19 / 232
goals
8%
1 / 13
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

14

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 260 defensive 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.

Tempo controller52%Deep-lying playmaker51%Ball-winning 626%
Why Tempo controller 52%: a weighted blend of build-up 62 (weight 30%) + retention 53 (weight 35%) + press resistance 39 (weight 20%) + progression 48 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
box threat
Average
carrying, build-up, transition, creativity, retention, receiving zones, final-third threat, progression, line-breaking, passing directness, territory (wide vs central)
Weak
press resistance, defensive aggression, crossing, through-balls, dribbling, ball-winning
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
73
Carrying
67
Build-up
62
Transition ~proxy
62
Creativity
54
Retention
53
Receiving zones
53
Final-third threat
52
Progression
48
Line-breaking
47
Passing directness
41
Territory (wide vs central)
41
Press resistance ~proxy
39
Defensive aggression
33
Crossing
31
Through-balls ~proxy
31
Dribbling
27
Ball-winning
24
15

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: 188 cm / 86 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.

Yannik Engelhardt Freiburg · Bundesliga · 184 cm / 74 kg
68%
Driven by: ball-winning (20%), defensive aggression (11%), carrying (10%). Different mechanism — Tessmann more via territory (wide vs central), passing directness.
Al Musrati Hellas Verona · Serie A 25/26 · 189 cm / 80 kg
59%
Driven by: crossing (22%), dribbling (20%), press resistance (12%). Different mechanism — Tessmann more via line-breaking, territory (wide vs central); Musrati more via passing directness, ball-winning.
Noah Cadiou Lorient · 191 cm / 84 kg
58%
Driven by: defensive aggression (17%), carrying (14%), ball-winning (14%). Different mechanism — Tessmann more via territory (wide vs central); Cadiou more via dribbling, carrying.
Izan Merino Malaga · La Liga · 182 cm / 74 kg
56%
Driven by: ball-winning (25%), crossing (16%), defensive aggression (15%). Different mechanism — Tessmann more via box threat, territory (wide vs central); Merino more via line-breaking, build-up.
Martín Zubimendi Arsenal · Premier League · 181 cm / 74 kg
56%
Driven by: ball-winning (29%), dribbling (20%), carrying (14%). Different mechanism — Zubimendi more via crossing, defensive aggression.
Jens Stage Werder Bremen · Bundesliga 25/26 · 187 cm / 81 kg
52%
Driven by: ball-winning (35%), box threat (29%), through-balls (13%). Different mechanism — Stage more via dribbling, defensive aggression.
16

Summary

Tanner Tessmann is a tempo controller: 89% completion, 10 line-breaks and 4.1 progressive passes /90, resisting pressure with 0% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 7 matches (266 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller — best used in a system built around that identity. His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall tempo controller 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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