Charles Nduka
Next: Wellington Phoenix v Melbourne Victory · A-League · Sun 18 Oct, 03:00 BST · Wellington Phoenix allow 14.8 shots per game over their last 8 — form, head-to-head and stats on the match page.
Charles Nduka (Melbourne Victory, forward) has 5 goals and 2 assists in 13 appearances in 2025/26 (872 minutes, all competitions). Shots per 90 in A-League Men: 2.27, higher than 64% of 36 forwards. Started 10 of 13. Next: Wellington Phoenix v Melbourne Victory, Sun 18 Oct, 03:00 BST.
Key facts
As of 14 October 2026: A forward for Melbourne Victory, Charles Nduka has 13 appearances (872 minutes) in A-League Men 2025/26.
As of 14 October 2026: Charles Nduka has five goals and two assists from 13 appearances (2025/26, the matches TACTIX holds).
As of 14 October 2026: Ranked in the 71st percentile of 223 qualifying A-League Men players, Charles Nduka’s Impact runs at 3.2 per match (13 appearances in A-League Men matches).
Charles Nduka (Melbourne Victory) averages a TACTIX Impact of 3.2 per match across 13 appearances, and has five goals and two assists in 13 appearances in 2025/26 — per TACTIX Impact, an open rating with every weight published (as of 14 October 2026).
An open, transparent rating built from raw match actions across 13 appearances in 2025/26 (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
Charles Nduka is a forward at Melbourne Victory, with 13 appearances and 872 minutes in A-League Men 2025/26. TACTIX Impact: 3.2 per match across 13 appearances in A-League Men matches, the 71st percentile of 223 qualifying A-League Men players. Charles Nduka has started 10 of 13 appearances in 2025/26 (all competitions), averaging 67 minutes. That is 36% of the A-League Men minutes available to him (872 of 2430 across 27 club matches).
Keeper, venue and career
Home and away differ: 3.16 shots per 90 at home (513 minutes) against 1.00 away (359 minutes), all competitions 2025/26.
By the numbers
By the numbers, among the 36 A-League Men forwards with 450+ minutes: shot accuracy of 63.6% — higher than 92% and 0.52 goals per 90 — higher than 89%. Charles Nduka recorded a shot in 7 of the last 10 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Forwards, A-League Men 2025/26 (n = 36): Scoring (elite, 89th percentile) and Creation (strong, 78th percentile). Lower on the radar: Defending (eighth percentile) and Passing (11th percentile), against 36 Forwards, A-League Men 2025/26 (n = 36).
Form and availability
Impact over the last five matches (newest first): -0.1, 2.5, 1.1, 9.9, 2.6 — trending down, averaging 3.2 against a season figure of 3.2. Discipline: two yellow cards in 13 appearances in 2025/26. Next up: Wellington Phoenix v Melbourne Victory, Sun 18 Oct, 03:00 BST (A-League). Wellington Phoenix allow 14.8 shots per game over their last 8.
Similar players
Closest radar profiles among Forwards, A-League Men 2025/26 (n = 36): Nikolaos Vergos, Mitchell Duke and S. Cosgrove (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2025/26 · all competitions
Started 10 of 13 appearances, 3 from the bench · 67 minutes per appearance · 36% of the A-League Men minutes available (872 of 2430).
A-League Men only: 13 apps · 3.2 Impact per match in 2025/26. See the A-League Men Impact leaderboard.
Charles Nduka stats per 90 · A-League Men 2025/26, forward
| Stat | Charles Nduka | vs forwards |
|---|---|---|
| Goalsper 90 | 0.52 | higher than 89% |
| Shotsper 90 | 2.27 | higher than 64% |
| Shots on targetper 90 | 1.44 | higher than 86% |
| Shot accuracy | 63.6% | higher than 92% |
| Key passesper 90 | 1.34 | higher than 61% |
| Successful dribblesper 90 | 0.52 | higher than 17% |
| Fouls wonper 90 | 0.62 | higher than 19% |
| Offsidesper 90 | 0.52 | fewer than 46% |
Per 90 minutes over 872 minutes in A-League Men 2025/26. Ranked against 36 A-League Men forwards 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+ shot7 of 10
- 2+ shots5 of 10
- 1+ shot on target6 of 10
- 1+ foul won2 of 10
- Scored3 of 10
- Assisted1 of 10
- Booked1 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-02-27 to 2026-10-14, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile radar · A-League Men 2025/26, forward
Charles Nduka · Forwards, A-League Men 2025/26 (n = 36) median
| Axis | Charles Nduka | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 2.27on target 63.6% | 2.02 | 64th |
| Scoringgoals p90 | 0.52 | 0.35 | 89th |
| Creationkey passes + assists p90 | 1.55 | 1.41 | 78th |
| Passingpasses p90 | 12.39accuracy 70.8% | 20.64 | 11th |
| Dribblingsuccessful dribbles p90 | 0.52success 35.7% | 0.87 | 17th |
| Duelsduels won p90 | 3.61win rate 32.7% | 4.81 | 28th |
| Defendingtackles + interceptions + blocks p90 | 0.72 | 1.42 | 8th |
| Disciplinecards + fouls p90 (fewer is better) | 1.14 | 1.22 | 42nd |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 872 minutes in A-League Men 2025/26. Cohort: 36 players with 450+ minutes.
Where that sits in A-League Men
3.2 per match — 71th percentile of 223 qualifying A-League Men players (10+ apps), 2025/26. 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 |
|---|---|---|---|---|---|---|---|
| 2026/27 | Melbourne Victory | 1 | 0 | 0 | – | – | -0.1 |
| 2025/26 | Melbourne Victory | 13 | 5 | 2 | 1.44 | 1.34 | 3.2 |
Game log · last 10 appearances · all competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-14 | v FC Seoul2026/27 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.5 | -0.1 | Match → |
| 2026-05-02 | v Sydney | 84 | 0 | 0 | 5 | 3 | 1 | 0 | 0 | 6.2 | 2.5 | Match → |
| 2026-04-25 | @ Western Sydney Wanderers | 90 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 6.5 | 1.1 | Match → |
| 2026-04-17 | v Newcastle Jets | 90 | 2 | 0 | 3 | 2 | 1 | 1 | 0 | 7.7 | 9.9 | Match → |
| 2026-04-11 | @ Auckland | 90 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 6.9 | 2.6 | Match → |
| 2026-04-05 | v Wellington Phoenix sub | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.3 | 0.3 | Match → |
| 2026-03-21 | v Central Coast Mariners | 69 | 0 | 0 | 2 | 1 | 2 | 1 | 0 | 7.3 | 2.6 | Match → |
| 2026-03-15 | v Macarthur | 90 | 1 | 1 | 3 | 2 | 2 | 2 | 0 | 7.3 | 9.5 | Match → |
| 2026-03-07 | @ Sydney sub | 22 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 7.2 | 4.5 | Match → |
| 2026-02-27 | v Adelaide United | 66 | 0 | 0 | 2 | 1 | 1 | 0 | 6.5 | -0.2 | Match → |
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 · 2025/26 · all competitions: Shots 3.16 at home (513 min), 1.00 away (359 min); Shots on target 1.93 at home (513 min), 0.75 away (359 min).
Impact trend · last 10 matches
TACTIX model: Charles Nduka’s match projections
Frequently asked questions
- How many shots does Charles Nduka average per 90?
- Charles Nduka averages 2.27 shots per 90 minutes in A-League Men 2025/26 (872 minutes) — higher than 64% of 36 A-League Men forwards with 450+ minutes.
- How many goals and assists does Charles Nduka have this season?
- This season Charles Nduka has 5 goals and 2 assists in 13 appearances (872 minutes played).
- Does Charles Nduka start every game?
- Charles Nduka started 10 of 13 appearances in 2025/26, averaging 67 minutes per appearance (all competitions).
- How often does Charles Nduka get booked?
- Charles Nduka was booked in 1 of the last 10 appearances where cards were recorded (all competitions); 2 yellow and 0 red this season.
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How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.