rSurgeon — CS2 Stats
76561198276969767[U:1:316704039]
Rating over time
Premier CS Rating
- At peak — 25,639
- Next: Gold band at 30,000 — 4,361 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 92% playstyle similarity
Most alike: utility contribution, 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. 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 20 | 11–9 | 55% | 0.00 | |
| C | 19 | 7–12 | 37% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| debris | — | 1 | 1–0 | 100% | 0.05 |
| shelter | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 57% | 1.02 | 15.5 |
| Anubis | 19 | 53% | 0.95 | 14.3 |
| Ancient | 13 | 69% | 1.04 | 13.8 |
| Dust2 | 6 | 50% | 0.98 | 18.2 |
| Inferno | 5 | 80% | 1.03 | 14.4 |
| Nuke | 4 | 75% | 1.24 | 13.8 |
| Overpass | 2 | 50% | 0.80 | 12.0 |
| Vertigo | 1 | 100% | 0.85 | 11.0 |
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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | -0.03 | 16% | 28 Aug → | ||
| 3–13 | -0.05 | 4% | 28 Aug → | ||
| 13–16 | 0.01 | 15% | 28 Aug → | ||
| 13–9 | 0.03 | 21% | 28 Aug → | ||
| 16–14 | -0.07 | 7% | 27 Aug → | ||
| 11–13 | -0.00 | 14% | 27 Aug → | ||
| 5–13 | -0.06 | 10% | 27 Aug → | ||
| debris | 9–4 | 0.05 | 12% | 27 Aug → | |
| 9–1 | 0.14 | 22% | 27 Aug → | ||
| 9–13 | -0.01 | 15% | 27 Aug → | ||
| 13–11 | -0.05 | 12% | 27 Aug → | ||
| 13–5 | 0.06 | 10% | 27 Aug → | ||
| 4–13 | 0.04 | 16% | 27 Aug → | ||
| 13–10 | 0.04 | 24% | 26 Aug → | ||
| 6–13 | -0.05 | 14% | 26 Aug → | ||
| 13–10 | -0.03 | 13% | 26 Aug → | ||
| 8–13 | -0.00 | 17% | 26 Aug → | ||
| 4–13 | -0.06 | 21% | 26 Aug → | ||
| 15–15 | -0.04 | 21% | 26 Aug → | ||
| 13–5 | 0.02 | 5% | 25 Aug → | ||
| 13–7 | -0.01 | 17% | 25 Aug → | ||
| 13–11 | -0.01 | 7% | 25 Aug → | ||
| 13–2 | -0.01 | 17% | 25 Aug → | ||
| 5–13 | -0.01 | 22% | 25 Aug → | ||
| 5–13 | 0.02 | 27% | 21 Aug → | ||
| 11–13 | -0.02 | 13% | 21 Aug → | ||
| 13–11 | 0.02 | 24% | 20 Aug → | ||
| 13–11 | 0.01 | 19% | 20 Aug → | ||
| 13–4 | 0.00 | 17% | 20 Aug → | ||
| 9–13 | 0.02 | 16% | 20 Aug → | ||
| 13–11 | 0.02 | 9% | 19 Aug → | ||
| 4–13 | -0.00 | 24% | 19 Aug → | ||
| 14–16 | 0.02 | 6% | 16 Aug → | ||
| 9–13 | -0.03 | 14% | 15 Aug → | ||
| 4–13 | -0.04 | 16% | 15 Aug → | ||
| 7–13 | 0.02 | 10% | 15 Aug → | ||
| 13–9 | -0.02 | 13% | 15 Aug → | ||
| 13–5 | 0.03 | 12% | 14 Aug → | ||
| 13–3 | 0.02 | 15% | 14 Aug → | ||
| 12–16 | -0.06 | 14% | 14 Aug → | ||
| 13–6 | 0.07 | 22% | 14 Aug → | ||
| 8–13 | 0.01 | 22% | 14 Aug → | ||
| 9–13 | -0.04 | 15% | 13 Aug → | ||
| 13–5 | 0.07 | 29% | 13 Aug → | ||
| 13–2 | 0.04 | 6% | 13 Aug → | ||
| 13–7 | 0.07 | 8% | 12 Aug → | ||
| 0–5 | -0.03 | 20% | 12 Aug → | ||
| 13–8 | 0.03 | 9% | 12 Aug → | ||
| 11–13 | 0.01 | 13% | 12 Aug → | ||
| 13–7 | 0.10 | 20% | 12 Aug → | ||
| shelter | 12–12 | -0.00 | 31% | 12 Aug → | |
| 13–9 | -0.01 | 19% | 12 Aug → | ||
| 13–7 | 0.04 | 9% | 12 Aug → | ||
| 11–13 | -0.03 | 8% | 11 Aug → | ||
| 13–6 | -0.04 | 19% | 11 Aug → | ||
| 13–11 | 0.01 | 14% | 11 Aug → | ||
| 13–9 | 0.01 | 16% | 11 Aug → | ||
| 9–13 | 0.01 | 23% | 11 Aug → | ||
| 10–13 | -0.06 | 14% | 11 Aug → | ||
| 9–13 | -0.00 | 8% | 11 Aug → | ||
| 4–13 | -0.03 | 22% | 11 Aug → | ||
| 13–11 | 0.07 | 18% | 10 Aug → | ||
| 10–13 | 0.04 | 21% | 10 Aug → | ||
| 1–6 | -0.00 | 33% | 10 Aug → | ||
| 5–0 | 0.06 | 11% | 10 Aug → | ||
| 3–9 | -0.02 | 23% | 10 Aug → | ||
| 9–13 | -0.04 | 17% | 5 Aug → | ||
| 13–4 | 0.10 | 13% | 5 Aug → | ||
| 13–10 | -0.02 | 15% | 5 Aug → | ||
| 11–13 | -0.00 | 21% | 5 Aug → | ||
| 13–9 | 0.03 | 8% | 5 Aug → | ||
| 7–13 | -0.03 | 7% | 5 Aug → | ||
| 3–13 | -0.06 | 10% | 5 Aug → | ||
| 9–13 | -0.06 | 19% | 4 Aug → | ||
| 7–13 | -0.07 | 13% | 4 Aug → | ||
| 13–10 | -0.01 | 11% | 4 Aug → | ||
| 6–13 | -0.05 | 9% | 4 Aug → | ||
| 12–12 | -0.01 | 17% | 4 Aug → | ||
| 13–10 | 0.03 | 21% | 4 Aug → | ||
| 13–9 | -0.02 | 13% | 4 Aug → | ||
| 13–0 | 0.09 | 10% | 4 Aug → | ||
| 4–13 | 0.05 | 24% | 4 Aug → | ||
| 1–13 | -0.05 | 20% | 4 Aug → | ||
| 7–13 | -0.03 | 24% | 4 Aug → | ||
| 11–5 | 0.06 | 16% | 4 Aug → | ||
| 13–6 | 0.01 | 16% | 3 Aug → | ||
| 11–13 | -0.07 | 11% | 3 Aug → | ||
| 13–8 | 0.03 | 6% | 3 Aug → | ||
| 4–13 | -0.09 | 21% | 31 Jul → | ||
| 6–13 | -0.01 | 25% | 31 Jul → | ||
| 13–9 | -0.03 | 8% | 31 Jul → | ||
| 13–11 | -0.02 | 21% | 31 Jul → | ||
| 13–4 | -0.02 | 19% | 30 Jul → | ||
| 13–8 | 0.03 | 20% | 30 Jul → | ||
| 13–10 | -0.04 | 17% | 30 Jul → | ||
| 13–10 | 0.04 | 23% | 30 Jul → | ||
| 13–8 | -0.09 | 4% | 30 Jul → | ||
| 10–13 | -0.02 | 13% | 30 Jul → | ||
| 13–9 | 0.05 | 14% | 29 Jul → | ||
| 13–8 | -0.01 | 29% | 28 Jul → |
Match data via Leetify.