R. Youlley
Next: Sydney v Adelaide United · A-League · Sun 25 Oct, 04:00 GMT · Adelaide United allow 13.7 shots per game over their last 8 (6 with the stat recorded) — form, head-to-head and stats on the match page.
R. Youlley (Sydney, midfielder) has 0 goals and 0 assists in 22 appearances in 2025/26 (1185 minutes, all competitions). Shots per 90 in A-League Men: 0.99, higher than 56% of 103 midfielders. Started 13 of 22. Next: Sydney v Adelaide United, Sun 25 Oct, 04:00 GMT.
Key facts
As of 16 October 2026: A midfielder for Sydney, R. Youlley has 22 appearances (1185 minutes) in A-League Men 2025/26.
As of 16 October 2026: R. Youlley averages 1.8 Impact a match over 22 games in A-League Men matches — 25th percentile among the 223 A-League Men players who qualify.
As of 16 October 2026: Against midfielders in A-League Men 2025/26, R. Youlley stands out on 53.09 passes per 90 (higher than 89%) and 1.37 interceptions per 90 (higher than 87%); the cohort is 103 players with 450+ minutes.
R. Youlley: averages a TACTIX Impact of 1.8 per match across 22 appearances. TACTIX publishes the full rating methodology and updates it from settled matches (16 October 2026).
An open, transparent rating built from raw match actions across 22 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
R. Youlley is a midfielder at Sydney, with 22 appearances and 1185 minutes in A-League Men 2025/26. TACTIX Impact: 1.8 per match across 22 appearances in A-League Men matches, the 25th percentile of 223 qualifying A-League Men players. R. Youlley has started 13 of 22 appearances in 2025/26 (all competitions), averaging 54 minutes. That is 44% of the A-League Men minutes available to him (1185 of 2700 across 30 club matches).
Keeper, venue and career
Home and away differ: 1.61 shots per 90 at home (335 minutes) against 0.74 away (850 minutes), all competitions 2025/26.
By the numbers
By the numbers, among the 103 A-League Men midfielders with 450+ minutes: 53.09 passes per 90 — higher than 89% and 1.37 interceptions per 90 — higher than 87%.
Strengths and weaknesses
Strengths, against Midfielders, A-League Men 2025/26 (n = 103): Passing (elite, 89th percentile) and Defending (strong, 76th percentile). Lower on the radar: Scoring (16th percentile) and Duels (19th percentile), against 103 Midfielders, A-League Men 2025/26 (n = 103).
Form and availability
Impact over the last five matches (newest first): 3.8, 1.2, 0.4, 0.0, -0.3 — trending up, averaging 1.0 against a season figure of 1.8. Discipline: two yellow cards and one red card in 22 appearances in 2025/26, and 1.59 fouls per 90 in A-League Men. Next up: Sydney v Adelaide United, Sun 25 Oct, 04:00 GMT (A-League). Adelaide United allow 13.7 shots per game over their last 8 (6 with the stat recorded).
Similar players
Closest radar profiles among Midfielders, A-League Men 2025/26 (n = 103): R. Bozinovski, Z. Schreiber and Noah Maieroni (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2025/26 · all competitions
Started 13 of 22 appearances, 9 from the bench · 54 minutes per appearance · 44% of the A-League Men minutes available (1185 of 2700).
A-League Men only: 22 apps · 1.8 Impact per match in 2025/26. See the A-League Men Impact leaderboard.
R. Youlley stats per 90 · A-League Men 2025/26, midfielder
| Stat | R. Youlley | vs midfielders |
|---|---|---|
| Passesper 90 | 53.09 | higher than 89% |
| Pass accuracy | 84.8% | higher than 80% |
| Key passesper 90 | 0.99 | higher than 48% |
| Shotsper 90 | 0.99 | higher than 56% |
| Shots on targetper 90 | 0.46 | higher than 56% |
| Successful dribblesper 90 | 0.46 | higher than 26% |
| Tacklesper 90 | 2.51 | higher than 78% |
| Interceptionsper 90 | 1.37 | higher than 87% |
| Fouls committedper 90 | 1.59 | fewer than 23% |
| Cardsper 90 | 0.23 | fewer than 33% |
Per 90 minutes over 1185 minutes in A-League Men 2025/26. Ranked against 103 A-League Men 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+ shot2 of 10
- 1+ shot on target1 of 10
- 1+ tackle3 of 10
- 1+ foul committed5 of 10
- Scored0 of 10
- Assisted0 of 10
- Booked0 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-02-21 to 2026-10-16, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile radar · A-League Men 2025/26, midfielder
R. Youlley · Midfielders, A-League Men 2025/26 (n = 103) median
| Axis | R. Youlley | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.99on target 46.2% | 0.82 | 56th |
| Scoringgoals p90 | 0.00 | 0.10 | 16th |
| Creationkey passes + assists p90 | 0.99 | 1.10 | 45th |
| Passingpasses p90 | 53.09accuracy 84.8% | 39.88 | 89th |
| Dribblingsuccessful dribbles p90 | 0.46success 85.7% | 0.68 | 26th |
| Duelsduels won p90 | 3.72win rate 47.1% | 4.93 | 19th |
| Defendingtackles + interceptions + blocks p90 | 3.95 | 3.18 | 76th |
| Disciplinecards + fouls p90 (fewer is better) | 1.82 | 1.28 | 77th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 1185 minutes in A-League Men 2025/26. Cohort: 103 players with 450+ minutes.
Where that sits in A-League Men
1.8 per match — 25th 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
Game log · last 10 appearances · all competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-16 | v Western Sydney Wanderers2026/27 | 90 | 0 | 0 | 2 | 0 | 0 | 3 | 0 | 7.2 | 3.8 | Match → |
| 2026-05-23 | @ Auckland sub | 18 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 6.6 | 1.2 | Match → |
| 2026-05-16 | @ Newcastle Jets sub | 47 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6.9 | 0.4 | Match → |
| 2026-05-02 | @ Melbourne Victory sub | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.6 | 0 | Match → |
| 2026-04-11 | @ Western Sydney Wanderers sub | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.3 | -0.3 | Match → |
| 2026-04-02 | @ Brisbane Roar | 90 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 7.3 | 2.4 | Match → |
| 2026-03-22 | v Newcastle Jets sub | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.5 | 0.1 | Match → |
| 2026-03-17 | v Melbourne City sub | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.3 | 0 | Match → |
| 2026-03-01 | @ Wellington Phoenix sub | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.3 | -0.1 | Match → |
| 2026-02-21 | v Brisbane Roar sub | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6.6 | 0.7 | 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: Key passes 0.81 at home (335 min), 1.06 away (850 min); Shots 1.61 at home (335 min), 0.74 away (850 min).
Impact trend · last 10 matches
TACTIX model: R. Youlley’s match projections
Frequently asked questions
- How many shots does R. Youlley average per 90?
- R. Youlley averages 0.99 shots per 90 minutes in A-League Men 2025/26 (1185 minutes) — higher than 56% of 103 A-League Men midfielders with 450+ minutes.
- How many goals and assists does R. Youlley have this season?
- This season R. Youlley has 0 goals and 0 assists in 22 appearances (1185 minutes played).
- Does R. Youlley start every game?
- R. Youlley started 13 of 22 appearances in 2025/26, averaging 54 minutes per appearance (all competitions).
- How often does R. Youlley get booked?
- R. Youlley was booked in 0 of the last 10 appearances where cards were recorded (all competitions); 2 yellow and 1 red this season.
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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.