Wangaroo — CS2 Stats
CA76561198065418645[U:1:105152917]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesHigh utility contribution
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like Twistzz 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 75 — grenade impact well above the norm.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 34 | 21–13 | 62% | 0.02 | |
| S | 23 | 18–5 | 78% | 0.01 | |
| S | 17 | 15–2 | 88% | 0.02 | |
| S | 16 | 11–5 | 69% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (62% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 94 | 56% | 1.07 | 15.5 |
| Dust2 | 65 | 58% | 1.02 | 14.3 |
| Inferno | 36 | 58% | 0.94 | 13.6 |
| Ancient | 31 | 42% | 1.01 | 14.4 |
| Anubis | 14 | 64% | 1.29 | 16.6 |
| Nuke | 11 | 45% | 0.93 | 13.8 |
| Train | 9 | 78% | 1.04 | 19.3 |
| Overpass | 4 | 50% | 0.79 | 14.3 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.6575% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.00 | 14% | 28 Aug → | ||
| 9–3 | 0.12 | 23% | 28 Aug → | ||
| 13–6 | -0.04 | 19% | 28 Aug → | ||
| 13–9 | 0.03 | 19% | 26 Aug → | ||
| 7–13 | -0.05 | 12% | 21 Aug → | ||
| 13–5 | -0.02 | 19% | 19 Aug → | ||
| 11–13 | -0.04 | 25% | 19 Aug → | ||
| 13–5 | 0.09 | 21% | 18 Aug → | ||
| 10–13 | 0.04 | 21% | 15 Aug → | ||
| 9–13 | -0.11 | 22% | 15 Aug → | ||
| 13–6 | -0.04 | 10% | 14 Aug → | ||
| 10–13 | -0.06 | 24% | 14 Aug → | ||
| 13–3 | 0.09 | 17% | 12 Aug → | ||
| 13–10 | 0.05 | 11% | 7 Aug → | ||
| 12–12 | 0.06 | 19% | 7 Aug → | ||
| 3–13 | -0.01 | 19% | 5 Aug → | ||
| 13–1 | 0.11 | 11% | 5 Aug → | ||
| 4–13 | 0.02 | 18% | 31 Jul → | ||
| 13–4 | -0.00 | 30% | 31 Jul → | ||
| 13–6 | 0.03 | 19% | 29 Jul → | ||
| 13–6 | 0.00 | 22% | 29 Jul → | ||
| 13–1 | -0.00 | 32% | 29 Jul → | ||
| 13–10 | -0.02 | 21% | 24 Jul → | ||
| 13–9 | -0.02 | 31% | 22 Jul → | ||
| 13–4 | 0.01 | 20% | 22 Jul → | ||
| 13–7 | 0.01 | 19% | 21 Jul → | ||
| 7–13 | 0.08 | 20% | 21 Jul → | ||
| 10–13 | 0.13 | 17% | 21 Jul → | ||
| 13–7 | 0.02 | 17% | 21 Jul → | ||
| 13–6 | -0.00 | 30% | 21 Jul → | ||
| 13–10 | -0.00 | 9% | 17 Jul → | ||
| 16–13 | -0.06 | 13% | 15 Jul → | ||
| 12–12 | -0.00 | 34% | 15 Jul → | ||
| 13–0 | 0.08 | 15% | 14 Jul → | ||
| 13–9 | 0.02 | 21% | 14 Jul → | ||
| 13–7 | 0.06 | 21% | 10 Jul → | ||
| 13–6 | 0.02 | 19% | 10 Jul → | ||
| 13–6 | -0.01 | 18% | 9 Jul → | ||
| 13–2 | 0.10 | 22% | 9 Jul → | ||
| 13–3 | 0.06 | 28% | 9 Jul → | ||
| 13–5 | -0.03 | 19% | 9 Jul → | ||
| 13–2 | 0.01 | 22% | 7 Jul → | ||
| 13–9 | -0.03 | 13% | 7 Jul → | ||
| 13–3 | 0.03 | 22% | 7 Jul → | ||
| 13–4 | 0.01 | 19% | 30 Jun → | ||
| 13–3 | 0.05 | 8% | 30 Jun → | ||
| 13–11 | 0.01 | 21% | 29 Jun → | ||
| 8–13 | 0.02 | 15% | 29 Jun → | ||
| 3–13 | 0.00 | 18% | 29 Jun → | ||
| 11–13 | -0.00 | 29% | 29 Jun → | ||
| 13–5 | 0.02 | 17% | 7 Jun → | ||
| 13–4 | 0.04 | 18% | 6 Jun → | ||
| 22–20 | 0.04 | 20% | 5 Jun → | ||
| 13–7 | -0.02 | 10% | 4 Jun → | ||
| 13–5 | 0.05 | 20% | 2 Jun → | ||
| 11–13 | 0.02 | 30% | 2 Jun → | ||
| 11–13 | -0.00 | 20% | 29 May → | ||
| 9–2 | 0.18 | 24% | 29 May → | ||
| 13–0 | 0.02 | 29% | 28 May → | ||
| 6–13 | 0.01 | 17% | 28 May → | ||
| 13–5 | 0.02 | 24% | 28 May → | ||
| 13–2 | 0.03 | 25% | 28 May → | ||
| 9–3 | -0.08 | 11% | 26 May → | ||
| 13–8 | 0.02 | 18% | 26 May → | ||
| 1–13 | -0.01 | 16% | 26 May → | ||
| 13–4 | 0.01 | 13% | 26 May → | ||
| 3–13 | -0.06 | 23% | 26 May → | ||
| 12–12 | 0.02 | 13% | 26 May → | ||
| 13–5 | -0.03 | 27% | 25 May → | ||
| 13–8 | 0.05 | 17% | 25 May → | ||
| 13–2 | 0.04 | 32% | 25 May → | ||
| 13–11 | 0.01 | 14% | 25 May → | ||
| 13–0 | -0.02 | 22% | 23 May → | ||
| 13–10 | -0.02 | 14% | 22 May → | ||
| 11–13 | -0.02 | 22% | 22 May → | ||
| 11–13 | 0.03 | 13% | 22 May → | ||
| 13–4 | 0.01 | 33% | 22 May → | ||
| 3–13 | -0.10 | 26% | 22 May → | ||
| 13–5 | 0.05 | 23% | 22 May → | ||
| 13–1 | 0.09 | 44% | 22 May → | ||
| 13–3 | 0.12 | 50% | 22 May → | ||
| 13–7 | 0.11 | 35% | 22 May → | ||
| 13–2 | 0.03 | 20% | 22 May → | ||
| 13–5 | -0.03 | 11% | 21 May → | ||
| 13–2 | 0.00 | 13% | 21 May → | ||
| 13–7 | 0.04 | 54% | 20 May → | ||
| 13–3 | -0.03 | 50% | 20 May → | ||
| 13–11 | -0.01 | 17% | 20 May → | ||
| 13–4 | 0.06 | 24% | 20 May → | ||
| 13–3 | 0.03 | 20% | 20 May → | ||
| 13–5 | 0.03 | 22% | 19 May → | ||
| 3–13 | 0.03 | 9% | 19 May → | ||
| 6–13 | -0.03 | 12% | 19 May → | ||
| 3–13 | -0.06 | 14% | 19 May → | ||
| 9–13 | -0.01 | 15% | 19 May → | ||
| 12–12 | 0.04 | 21% | 19 May → | ||
| 13–3 | -0.02 | 17% | 19 May → | ||
| 13–11 | -0.00 | 22% | 19 May → | ||
| 13–7 | 0.02 | 16% | 15 May → | ||
| 13–6 | 0.02 | 16% | 15 May → |
Match data via Leetify.