Thin sample this season. Vitaliy Mykolenko has played 1 match (95 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
in the first line of build-up — mostly in the middle third (70% of his 69 passes)
91% completion · 69× in 1/1 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
12.3 prog/90 · 5× in 1/1 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 3× in 1/1 matches
↓
PROGRESS
entries into the final third
2.8/90 · 3× in 1/1 matches
Signature: Receive → Break A Line → Switch Play → 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: carry out — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
23 tracked carries (21.8/90, 7 progressive, 183m 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.
progressivelateral/short% of his 23 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 15m
By zone — where the carry started → where it ended
First (23)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).
2
tackle duels
1
won
1
beaten · 50%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 0%
OUTSIDE 100%
Tackle-duel location — 0 inside · 2 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
2 · 100%
Vision AI beaten in 1 of 2 tackle duels (50% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 0 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?
0 key passes (0.00/90), 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:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
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 straight through the left hs in the middle third — 3 passes worth 0.25 xT.
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 left half-space in the middle third: 6% of his 31 touches there are lost (2 times).
20 defensive actions across the season (18.9/90). 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 →
2
tackles · 50% won
0
interceptions · 0.0/90
5
recoveries · 4.7/90
5
clearances · 4.7/90
0
blocks
41
avg action height
2
won high (att 3rd)
11
middle third
7
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 7 proactive ball-wins (6.6/90), tackle success 50%. He defends high, stepping out to intercept — suits a high line.
Team
Team context
How much of the team runs through him, and what changes without him.
Everton's output per match with Vitaliy Mykolenko (1 matches) versus without him (7 matches). Insufficient evidence — the without-sample is only 7 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 (1)
WITHOUT (7)
Δ
goals against /match
2.00
1.00
+1.00
points /match
1.00
1.29
-0.29
goals for /match
2.00
0.86
+1.14
xG for /match
1.51
0.99
+0.51
07
His Share of the Team
Of everything Everton produced this season, the categories where the biggest share ran through Vitaliy Mykolenko specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
14%
210 / 1467
interceptions
10%
37 / 386
shots
5%
27 / 539
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs 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.
Stopper centre-back54%Ball-playing centre-back35%
Why Stopper centre-back 54%: a weighted blend of defensive aggression 68 (weight 35%) + ball-winning 45 (weight 40%) + retention 47 (weight 15%) + transition 37 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
transition, territory (wide vs central), creativity, crossing, carrying, progression, through-balls, final-third threat, line-breaking, receiving zones
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
76
Box threat
70
Defensive aggression
68
Build-up
50
Retention
47
Dribbling
45
Ball-winning
45
Press resistance ~proxy
45
Transition ~proxy
37
Territory (wide vs central)
36
Creativity
28
Crossing
25
Carrying
20
Progression
15
Through-balls ~proxy
14
Final-third threat
13
Line-breaking
11
Receiving zones
10
09
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: 191 cm / 82 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 Premier League, Bundesliga, La Liga, Ligue 1 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.
Tiago Gabriel Lecce · Serie A · 196 cm / 88 kg
92%
Driven by: final-third threat (16%), receiving zones (14%), progression (12%). Different mechanism — Mykolenko more via territory (wide vs central).
Patrick Mainka Heidenheim · Bundesliga 25/26 · 194 cm / 86 kg
89%
Driven by: progression (14%), final-third threat (13%), line-breaking (11%). Different mechanism — Mainka more via retention, press resistance.
Arthur Chaves Augsburg · Bundesliga 25/26 · 188 cm / 80 kg
82%
Driven by: progression (17%), final-third threat (17%), carrying (16%). Different mechanism — Mykolenko more via passing directness, retention; Chaves more via through-balls.
Stefan Bell Mainz · Bundesliga · 192 cm / 88 kg
81%
Driven by: receiving zones (13%), progression (11%), line-breaking (10%). Different mechanism — Mykolenko more via retention, press resistance; Bell more via through-balls.
Samuel Yohou Le Mans · Ligue 1 · 190 cm / 88 kg
81%
Driven by: progression (17%), final-third threat (16%), line-breaking (12%). Different mechanism — Mykolenko more via territory (wide vs central), box threat; Yohou more via receiving zones, ball-winning.
Chrislain Matsima Augsburg · Bundesliga · 193 cm / 81 kg
81%
Driven by: progression (18%), final-third threat (15%), carrying (15%). Different mechanism — Mykolenko more via box threat, passing directness.
10
Summary
Vitaliy Mykolenko is a stopper centre-back: 91% pass completion, 5 line-breaking passes and 12.3 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]
Based on 1 matches (95 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity.
His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall stopper centre-back 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.