Marko Tolić Stats
Club: Hangzhou Greentown · Position: Midfielder.
Marko Tolić (Hangzhou Greentown, midfielder) has 9 goals and 7 assists in 29 appearances in 2026 (1997 minutes, all competitions). Shots per 90 in Super League: 1.89, higher than 92% of 108 midfielders. Started 25 of 29.
Key Facts
Figures as of
Marko Tolić has 29 appearances and 1997 minutes in the Super League 2026 as a midfielder for Hangzhou Greentown.
Tolić’s TACTIX Impact runs at 4.6 per match over 29 appearances in Super League matches, the 91st percentile of 315 qualifying Super League players.
Against midfielders in the Super League 2026, Marko Tolić stands out on 1.04 shots on target per 90 (higher than 96%) and 2.21 successful dribbles per 90 (higher than 94%); the cohort is 108 players with 450+ minutes.
Marko Tolić (Hangzhou Greentown) averages a TACTIX Impact of 4.6 per match across 29 appearances, and has nine goals and seven assists in 29 appearances in 2026 — per TACTIX Impact, an open rating with every weight published (as of 8 November 2026).
An open, transparent rating built from raw match actions across 29 appearances in 2026 (all competitions) — every weight is published. Higher is better; a negative score just means costly actions outweighed productive ones in that sample — not a verdict on the player.
Profile
Marko Tolić is a midfielder at Hangzhou Greentown, with 29 appearances and 1997 minutes in the Super League 2026. TACTIX Impact: 4.6 per match across 29 appearances in Super League matches, the 91st percentile of 315 qualifying Super League players. Marko Tolić has started 25 of 29 appearances in 2026 (all competitions), averaging 69 minutes. That is 77% of the Super League minutes available to him (1997 of 2610 across 29 club matches).
Keeper, venue and career
Home and away differ: 2.16 shots per 90 at home (1081 minutes) against 1.58 away (910 minutes), all competitions 2026.
By the numbers
By the numbers, among the 108 Super League midfielders with 450+ minutes: 1.04 shots on target per 90 — higher than 96% and 2.21 successful dribbles per 90 — higher than 94%. Marko Tolić recorded a shot in 6 of the last 9 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Midfielders, Super League 2026 (n = 108): Scoring (elite, 96th percentile) and Dribbling (elite, 94th percentile). Lower on the radar: Defending (11th percentile), against 108 Midfielders, Super League 2026 (n = 108).
Form and availability
Impact over the last five matches (newest first): -0.1, 5.0, -0.1, 2.8, 13.8 — trending down, averaging 4.3 against a season figure of 4.6. Discipline: seven yellow cards in 29 appearances in 2026, and 1.67 fouls per 90 in the Super League.
Similar players
Closest radar profiles among Midfielders, Super League 2026 (n = 108): Shengpan Ji, Yaw Yeboah and Bruno Nazário (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026 · All Competitions
Started 25 of 29 appearances, 4 from the bench · 69 minutes per appearance · 77% of the Super League minutes available (1997 of 2610).
Super League only: 29 apps · 4.6 Impact per match in 2026. See the Super League Impact leaderboard.
Marko Tolić Stats per 90 · Super League 2026, midfielder
| Stat | Marko Tolić | vs midfielders |
|---|---|---|
| Passesper 90 | 36.96 | higher than 50% |
| Pass accuracy | 77.7% | higher than 20% |
| Key passesper 90 | 2.52 | higher than 93% |
| Shotsper 90 | 1.89 | higher than 92% |
| Shots on targetper 90 | 1.04 | higher than 96% |
| Successful dribblesper 90 | 2.21 | higher than 94% |
| Tacklesper 90 | 1.26 | higher than 20% |
| Interceptionsper 90 | 0.45 | higher than 22% |
| Fouls committedper 90 | 1.67 | fewer than 34% |
| Cardsper 90 | 0.32 | fewer than 26% |
Per 90 minutes over 1997 minutes in Super League 2026. Ranked against 108 Super League midfielders with 450+ minutes; “higher than N%” means a higher figure than N% of them, and for fouls, cards, offsides and goals conceded “fewer than” is the better direction.
Last 10 Appearances · All Competitions
- 1+ shot6 of 9
- 1+ shot on target4 of 9
- 1+ tackle3 of 9
- 1+ foul committed8 of 10
- Scored2 of 9
- Assisted3 of 9
- Booked3 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-08-01 to 2026-11-08, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · Super League 2026, midfielder
Marko Tolić · Midfielders, Super League 2026 (n = 108) median
| Axis | Marko Tolić | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 1.89on target 54.8% | 0.95 | 92nd |
| Scoringgoals p90 | 0.41 | 0.08 | 96th |
| Creationkey passes + assists p90 | 2.84 | 1.15 | 93rd |
| Passingpasses p90 | 36.96accuracy 77.7% | 37.15 | 50th |
| Dribblingsuccessful dribbles p90 | 2.21success 49.0% | 0.68 | 94th |
| Duelsduels won p90 | 5.81win rate 45.7% | 4.69 | 77th |
| Defendingtackles + interceptions + blocks p90 | 1.71 | 2.72 | 11th |
| Disciplinecards + fouls p90 (fewer is better) | 1.98 | 1.63 | 69th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 1997 minutes in Super League 2026. Cohort: 108 players with 450+ minutes.
Where That Sits in the Super League
4.6 per match — 91th percentile of 315 qualifying Super League players (10+ apps), 2026. Shaded band = 10th–90th percentile; the line is the median.
Career · Every Team, by Season · All Competitions
| Season | Team | Apps | Goals | Assists | SoT/90 | KP/90 | Impact |
|---|---|---|---|---|---|---|---|
| 2026 | Hangzhou Greentown | 29 | 9 | 7 | 1.04 | 2.52 | 4.6 |
| 2025 | Slovan Bratislava | 4 | 0 | 1 | 0.00 | 2.27 | 2.3 |
| 2024 | Slovan Bratislava | 9 | 3 | 1 | 0.71 | 2.00 | 3.9 |
| 2023 | Slovan Bratislava | 10 | 1 | 0 | 1.34 | 1.34 | 1.4 |
| 2021 | Dinamo Zagreb | 3 | 0 | 0 | – | – | 0.5 |
| 2020 | Dinamo Zagreb | 4 | 0 | 0 | – | – | 1.0 |
Game Log · Last 10 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-08 | v Henan Jianye | 6 | 0 | 0 | – | – | – | – | 0 | – | -0.1 | |
| 2026-10-24 | @ Shenyang Urban | 90 | 0 | 1 | 1 | 0 | 5 | 0 | 0 | 6.6 | 5 | |
| 2026-10-17 | @ Shandong Luneng | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.5 | -0.1 | |
| 2026-10-09 | v SHANGHAI SIPG | 90 | 0 | 0 | 3 | 2 | 1 | 1 | 7.2 | 2.8 | ||
| 2026-09-18 | v Wuhan Three Towns | 79 | 2 | 1 | 3 | 2 | 2 | 0 | 0 | 10 | 13.8 | |
| 2026-09-06 | @ Tianjin Teda | 89 | 0 | 0 | 3 | 0 | 4 | 1 | 7 | 5.1 | ||
| 2026-08-29 | v Yunnan Yukun | 90 | 1 | 4 | 3 | 2 | 5 | 4 | 0 | 10 | 24.2 | |
| 2026-08-22 | @ Sichuan Jiuniu sub | 25 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 6.5 | 0.3 | |
| 2026-08-15 | v Chengdu Better City sub | 25 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6.6 | 2.1 | |
| 2026-08-01 | @ Beijing Guoan | 61 | 0 | 0 | 0 | 0 | 0 | 0 | 6.9 | 0.4 |
Min = minutes; Sh = shots, SoT = shots on target, KP = key passes, Tkl = tackles; – = not recorded for that match. Rating is the data provider’s; Impact is TACTIX’s published formula.
Home v away · per 90 · 2026 · all competitions: Key passes 2.50 at home (1081 min), 2.57 away (910 min); Shots 2.16 at home (1081 min), 1.58 away (910 min).
Impact Trend · Last 10 Matches
TACTIX Model: Marko Tolić’s Match Projections
Frequently Asked Questions
- How many shots does Marko Tolić average per 90?
- Marko Tolić averages 1.89 shots per 90 minutes in Super League 2026 (1997 minutes) — higher than 92% of 108 Super League midfielders with 450+ minutes.
- How many goals and assists does Marko Tolić have this season?
- This season Marko Tolić has 9 goals and 7 assists in 29 appearances (1997 minutes played).
- Does Marko Tolić start every game?
- Marko Tolić started 25 of 29 appearances in 2026, averaging 69 minutes per appearance (all competitions).
- How often does Marko Tolić get booked?
- Marko Tolić was booked in 3 of the last 10 appearances where cards were recorded (all competitions); 7 yellow and 0 red this season.
Today’s Boards
Every fixture kicking off in the UK day, and the fixtures where the free pick leads with each market.
This page is generated from TACTIX’s match data by our software and checked automatically; data as of . How it works → · Report an error
How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.