Sirmrwhale — CS2 Stats
76561198204406420[U:1:244140692]
Rating over time
Faceit ELO
- At peak — 1,696
- Next: Level 9 at 1,751 — 55 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
Premier CS Rating
- At peak — 24,890
- Next: Red band at 25,000 — 110 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band 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: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 iM 94% playstyle similarity
Most alike: opening-duel success, positioning 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
Areas to improve
Reaction time. 585ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 20 | 8–12 | 40% | 0.01 | |
| C | 16 | 6–10 | 38% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.05 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 50 | 48% | 1.06 | 15.6 |
| Dust2 | 41 | 59% | 1.21 | 14.5 |
| Inferno | 38 | 74% | 1.44 | 16.9 |
| Ancient | 27 | 56% | 1.15 | 17.0 |
| Nuke | 19 | 74% | 1.63 | 20.5 |
| Anubis | 13 | 46% | 1.22 | 18.7 |
| Overpass | 7 | 57% | 1.43 | 20.3 |
| Train | 2 | 0% | 1.22 | 17.0 |
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.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.04 | 10% | 13 Aug → | ||
| 9–13 | 0.06 | 22% | 12 Aug → | ||
| 8–13 | 0.03 | 19% | 12 Aug → | ||
| 13–2 | 0.08 | 20% | 10 Aug → | ||
| 13–11 | 0.06 | 14% | 9 Aug → | ||
| 13–6 | 0.05 | 22% | 7 Aug → | ||
| 13–6 | 0.10 | 18% | 7 Aug → | ||
| 13–9 | 0.01 | 25% | 6 Aug → | ||
| 9–13 | -0.07 | 13% | 6 Aug → | ||
| 4–13 | 0.03 | 13% | 6 Aug → | ||
| 12–16 | 0.00 | 21% | 6 Aug → | ||
| 13–5 | 0.12 | 13% | 3 Aug → | ||
| 11–13 | -0.12 | 12% | 31 Jul → | ||
| 6–13 | 0.01 | 22% | 31 Jul → | ||
| 5–13 | 0.03 | 16% | 31 Jul → | ||
| 10–13 | 0.01 | 15% | 29 Jul → | ||
| 11–13 | -0.01 | 14% | 29 Jul → | ||
| 13–7 | 0.06 | 13% | 28 Jul → | ||
| 6–13 | -0.00 | 11% | 26 Jul → | ||
| 3–13 | -0.04 | 21% | 26 Jul → | ||
| 6–13 | 0.05 | 25% | 19 Jul → | ||
| 16–13 | 0.01 | 16% | 18 Jul → | ||
| 4–13 | -0.03 | 7% | 18 Jul → | ||
| 13–4 | 0.06 | 17% | 17 Jul → | ||
| 13–6 | 0.06 | 16% | 15 Jul → | ||
| 13–8 | 0.00 | 22% | 15 Jul → | ||
| 11–13 | -0.00 | 22% | 14 Jul → | ||
| 5–13 | 0.01 | 19% | 14 Jul → | ||
| 13–8 | 0.15 | 18% | 13 Jul → | ||
| 13–11 | 0.10 | 21% | 11 Jul → | ||
| 13–5 | 0.06 | 15% | 11 Jul → | ||
| 13–11 | 0.04 | 14% | 9 Jul → | ||
| 3–13 | -0.01 | 16% | 8 Jul → | ||
| 13–8 | 0.08 | 21% | 8 Jul → | ||
| 13–6 | -0.01 | 17% | 7 Jul → | ||
| 4–13 | -0.04 | 23% | 7 Jul → | ||
| 11–13 | 0.03 | 25% | 5 Jul → | ||
| 5–13 | 0.02 | 34% | 5 Jul → | ||
| 13–11 | 0.07 | 22% | 29 Jun → | ||
| 7–13 | 0.04 | 26% | 29 Jun → | ||
| 13–8 | 0.03 | 19% | 28 Jun → | ||
| 6–13 | 0.06 | 26% | 28 Jun → | ||
| 3–13 | -0.04 | 18% | 28 Jun → | ||
| 13–8 | 0.06 | 20% | 27 Jun → | ||
| 13–2 | 0.08 | 21% | 26 Jun → | ||
| 10–13 | 0.02 | 12% | 26 Jun → | ||
| 15–15 | -0.05 | 18% | 26 Jun → | ||
| 6–13 | -0.07 | 22% | 24 Jun → | ||
| 13–9 | 0.07 | 20% | 24 Jun → | ||
| 11–13 | 0.10 | 17% | 23 Jun → | ||
| 13–7 | 0.09 | 16% | 18 Jun → | ||
| 5–13 | -0.01 | 15% | 16 Jun → | ||
| 13–6 | -0.08 | 8% | 15 Jun → | ||
| 13–10 | 0.03 | 10% | 14 Jun → | ||
| 13–16 | 0.03 | 23% | 11 Jun → | ||
| 12–12 | -0.04 | 22% | 7 Jun → | ||
| 6–3 | 0.11 | 17% | 7 Jun → | ||
| 13–5 | 0.07 | 19% | 6 May → | ||
| 13–8 | 0.12 | 31% | 6 May → | ||
| 10–13 | 0.01 | 29% | 29 Apr → | ||
| 9–13 | -0.01 | 16% | 20 Apr → | ||
| 6–4 | 0.05 | 22% | 20 Apr → | ||
| 13–3 | 0.13 | 22% | 20 Apr → | ||
| 13–5 | 0.08 | 21% | 20 Apr → | ||
| 12–12 | 0.02 | 19% | 17 Apr → | ||
| 13–8 | -0.01 | 14% | 16 Apr → | ||
| 13–3 | 0.12 | 4% | 16 Apr → | ||
| 11–13 | 0.05 | 13% | 15 Apr → | ||
| 4–13 | -0.05 | 8% | 15 Apr → | ||
| 13–10 | 0.04 | 15% | 15 Apr → | ||
| 13–4 | 0.07 | 22% | 15 Apr → | ||
| 4–13 | -0.05 | 19% | 15 Apr → | ||
| 13–11 | 0.00 | 12% | 12 Apr → | ||
| 11–13 | 0.06 | 23% | 12 Apr → | ||
| 12–12 | 0.04 | 24% | 9 Apr → | ||
| 11–13 | -0.02 | 10% | 9 Apr → | ||
| 13–7 | -0.02 | 17% | 8 Apr → | ||
| 11–13 | 0.06 | 25% | 8 Apr → | ||
| 13–6 | -0.04 | 24% | 8 Apr → | ||
| 13–10 | 0.02 | 24% | 6 Apr → | ||
| 13–9 | 0.03 | 17% | 4 Apr → | ||
| 16–14 | 0.04 | 18% | 4 Apr → | ||
| 11–13 | -0.04 | 18% | 4 Apr → | ||
| 13–9 | -0.03 | 20% | 3 Apr → | ||
| 13–3 | 0.18 | 13% | 3 Apr → | ||
| 5–13 | 0.00 | 24% | 1 Apr → | ||
| 13–11 | 0.00 | 18% | 1 Apr → | ||
| 10–13 | 0.03 | 10% | 31 Mar → | ||
| 13–10 | 0.06 | 22% | 28 Mar → | ||
| 9–13 | 0.01 | 20% | 27 Mar → | ||
| 13–11 | 0.05 | 17% | 27 Mar → | ||
| 13–11 | -0.01 | 28% | 26 Mar → | ||
| 7–13 | 0.10 | 28% | 24 Mar → | ||
| 5–4 | -0.03 | 11% | 24 Mar → | ||
| 13–3 | 0.10 | 20% | 24 Mar → | ||
| 13–8 | 0.05 | 13% | 24 Mar → | ||
| 0–10 | -0.03 | 33% | 22 Mar → | ||
| 1–10 | -0.09 | 21% | 22 Mar → | ||
| 13–3 | 0.01 | 9% | 21 Mar → | ||
| 6–13 | -0.03 | 29% | 21 Mar → |
Match data via Leetify.