Woosah — CS2 Stats
76561199532331563[U:1:1572065835]
Rating over time
Faceit ELO
- At peak — 1,544
- Next: Level 9 at 1,751 — 207 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-28
- Level 7 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Reaction time. 569ms 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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | 0.02 | |
| S | 25 | 19–6 | 76% | 0.06 | |
| B | 15 | 8–7 | 53% | 0.04 | |
| S | 12 | 9–3 | 75% | 0.05 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| warden | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 44 | 43% | 1.26 | 17.3 |
| Dust2 | 39 | 49% | 1.38 | 16.8 |
| Ancient | 28 | 54% | 1.38 | 18.0 |
| Nuke | 16 | 75% | 1.54 | 21.0 |
| Inferno | 7 | 71% | 1.31 | 15.4 |
| Overpass | 6 | 50% | 1.12 | 22.2 |
| Train | 5 | 60% | 1.06 | 16.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.06 | 28% | 28 Aug → | ||
| 13–5 | 0.07 | 31% | 28 Aug → | ||
| 12–12 | -0.04 | 26% | 22 Aug → | ||
| 9–13 | -0.02 | 50% | 22 Aug → | ||
| 13–3 | -0.01 | 27% | 22 Aug → | ||
| 13–5 | 0.07 | 23% | 17 Aug → | ||
| 13–2 | 0.01 | 13% | 17 Aug → | ||
| 5–13 | -0.05 | 12% | 17 Aug → | ||
| 13–5 | -0.00 | 20% | 17 Aug → | ||
| 13–10 | 0.02 | 20% | 15 Aug → | ||
| 13–1 | 0.11 | 26% | 15 Aug → | ||
| 13–10 | 0.05 | 26% | 14 Aug → | ||
| 15–15 | -0.02 | 10% | 12 Aug → | ||
| 8–13 | -0.07 | 15% | 12 Aug → | ||
| 11–13 | 0.00 | 22% | 12 Aug → | ||
| 13–10 | 0.02 | 28% | 11 Aug → | ||
| 13–6 | 0.07 | 26% | 11 Aug → | ||
| 13–11 | 0.09 | 26% | 11 Aug → | ||
| 9–13 | 0.04 | 16% | 10 Aug → | ||
| 3–13 | 0.01 | 39% | 10 Aug → | ||
| 13–11 | 0.06 | 22% | 10 Aug → | ||
| 12–12 | 0.03 | 30% | 5 Aug → | ||
| 13–11 | 0.01 | 30% | 3 Aug → | ||
| 3–5 | 0.02 | 32% | 3 Aug → | ||
| 13–8 | 0.03 | 15% | 3 Aug → | ||
| 12–12 | 0.08 | 31% | 3 Aug → | ||
| 13–6 | 0.07 | 33% | 2 Aug → | ||
| 2–5 | -0.03 | 45% | 2 Aug → | ||
| 12–12 | -0.02 | 25% | 31 Jul → | ||
| 13–10 | 0.02 | 22% | 31 Jul → | ||
| 13–1 | 0.07 | 34% | 31 Jul → | ||
| 13–3 | 0.04 | 31% | 31 Jul → | ||
| 13–4 | 0.08 | 37% | 29 Jul → | ||
| 16–14 | 0.04 | 28% | 26 Jul → | ||
| 13–11 | 0.13 | 30% | 24 Jul → | ||
| 13–8 | 0.12 | 21% | 20 Jul → | ||
| 13–8 | 0.02 | 24% | 20 Jul → | ||
| 13–9 | 0.03 | 28% | 20 Jul → | ||
| 5–13 | -0.05 | 28% | 20 Jul → | ||
| 3–0 | 0.26 | 63% | 20 Jul → | ||
| 13–6 | 0.04 | 14% | 20 Jul → | ||
| 13–10 | 0.04 | 27% | 19 Jul → | ||
| 12–12 | 0.11 | 25% | 19 Jul → | ||
| 13–10 | 0.03 | 31% | 19 Jul → | ||
| 13–6 | 0.04 | 25% | 18 Jul → | ||
| 13–5 | 0.10 | 22% | 18 Jul → | ||
| 3–13 | 0.05 | 32% | 17 Jul → | ||
| 10–13 | -0.03 | 16% | 17 Jul → | ||
| 9–13 | 0.00 | 20% | 17 Jul → | ||
| 5–13 | -0.02 | 33% | 17 Jul → | ||
| 7–13 | 0.02 | 40% | 17 Jul → | ||
| 13–7 | 0.07 | 21% | 17 Jul → | ||
| 9–13 | 0.03 | 18% | 2 Jul → | ||
| 13–8 | 0.01 | 37% | 24 Jun → | ||
| 13–11 | -0.04 | 29% | 16 May → | ||
| 13–10 | -0.06 | 29% | 5 May → | ||
| 12–12 | 0.00 | 26% | 5 May → | ||
| 13–8 | 0.01 | 25% | 5 May → | ||
| 13–10 | -0.01 | 29% | 29 Apr → | ||
| 13–10 | -0.02 | 26% | 29 Apr → | ||
| 13–10 | -0.02 | 17% | 24 Apr → | ||
| 9–1 | 0.12 | 19% | 22 Apr → | ||
| 9–4 | 0.16 | 21% | 22 Apr → | ||
| 4–13 | -0.03 | 21% | 14 Apr → | ||
| 12–12 | 0.01 | 24% | 13 Apr → | ||
| 9–13 | -0.01 | 20% | 13 Apr → | ||
| 13–4 | 0.04 | 20% | 13 Apr → | ||
| 3–13 | -0.05 | 23% | 13 Apr → | ||
| 6–13 | -0.03 | 18% | 13 Apr → | ||
| 13–11 | -0.04 | 27% | 13 Apr → | ||
| 13–10 | 0.05 | 14% | 8 Apr → | ||
| 13–2 | 0.21 | 31% | 8 Apr → | ||
| 13–3 | 0.03 | 30% | 8 Apr → | ||
| 13–9 | 0.08 | 23% | 8 Apr → | ||
| 13–10 | 0.06 | 19% | 8 Apr → | ||
| 6–13 | 0.05 | 21% | 7 Apr → | ||
| 12–12 | 0.12 | 23% | 7 Apr → | ||
| 13–3 | 0.16 | 44% | 7 Apr → | ||
| 13–9 | 0.02 | 21% | 7 Apr → | ||
| 13–5 | 0.06 | 21% | 7 Apr → | ||
| 7–13 | -0.02 | 19% | 7 Apr → | ||
| 13–7 | 0.01 | 22% | 7 Apr → | ||
| 14–16 | -0.03 | 25% | 7 Apr → | ||
| 13–7 | 0.08 | 25% | 6 Apr → | ||
| 11–13 | 0.05 | 29% | 6 Apr → | ||
| 13–3 | 0.14 | 25% | 6 Apr → | ||
| 6–0 | 0.29 | 35% | 6 Apr → | ||
| 13–8 | 0.11 | 22% | 6 Apr → | ||
| 6–13 | -0.03 | 32% | 4 Apr → | ||
| 13–11 | 0.12 | 18% | 4 Apr → | ||
| 10–13 | 0.02 | 17% | 4 Apr → | ||
| 9–13 | -0.04 | 14% | 4 Apr → | ||
| warden | 13–6 | 0.11 | 17% | 3 Apr → | |
| 13–6 | 0.02 | 17% | 31 Mar → | ||
| 11–13 | -0.03 | 14% | 31 Mar → | ||
| 13–3 | 0.17 | 24% | 30 Mar → | ||
| 13–11 | 0.10 | 38% | 29 Mar → | ||
| 10–13 | -0.02 | 24% | 29 Mar → | ||
| 13–9 | 0.03 | 26% | 29 Mar → | ||
| 7–13 | 0.01 | 22% | 29 Mar → |
Match data via Leetify.