crabsy — CS2 Stats
76561198081980167[U:1:121714439]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 sh1ro 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| S | 32 | 21–11 | 66% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.06 | |
| C | 16 | 7–9 | 44% | 0.03 | |
| D | 13 | 2–11 | 15% | -0.01 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| stronghold | — | 2 | 0–2 | 0% | 0.07 |
| — | 1 | 0–1 | 0% | 0.02 | |
| alpine | — | 1 | 0–1 | 0% | 0.06 |
| warden | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 167 | 54% | 1.08 | 16.7 |
| Ancient | 122 | 55% | 1.24 | 16.3 |
| Anubis | 106 | 54% | 1.13 | 16.6 |
| Dust2 | 71 | 52% | 1.03 | 15.6 |
| Nuke | 33 | 58% | 1.11 | 16.8 |
| Inferno | 26 | 35% | 1.06 | 16.7 |
| Overpass | 20 | 35% | 1.03 | 17.3 |
| Vertigo | 8 | 62% | 1.05 | 19.4 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4794 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.02 | 20% | 1 Aug → | ||
| 15–15 | -0.00 | 22% | 29 Jul → | ||
| 4–13 | 0.06 | 29% | 24 Jul → | ||
| 13–11 | 0.07 | 23% | 18 Jul → | ||
| 12–16 | -0.08 | 31% | 17 Jul → | ||
| 13–4 | -0.01 | 24% | 14 Jul → | ||
| 8–13 | -0.08 | 16% | 12 Jul → | ||
| 13–9 | -0.04 | 25% | 4 Jul → | ||
| 11–13 | 0.05 | 26% | 3 Jul → | ||
| 13–9 | 0.00 | 25% | 1 Jul → | ||
| 8–13 | 0.15 | 30% | 29 Jun → | ||
| 13–5 | -0.06 | 16% | 28 Jun → | ||
| 13–6 | 0.03 | 37% | 28 Jun → | ||
| 8–13 | 0.01 | 19% | 28 Jun → | ||
| 8–13 | 0.04 | 29% | 28 Jun → | ||
| 2–13 | -0.05 | 21% | 28 Jun → | ||
| 9–13 | -0.00 | 22% | 27 Jun → | ||
| 10–13 | -0.07 | 22% | 27 Jun → | ||
| 13–11 | -0.03 | 33% | 25 Jun → | ||
| 4–13 | 0.00 | 22% | 24 Jun → | ||
| 10–13 | -0.01 | 17% | 24 Jun → | ||
| 13–9 | 0.05 | 17% | 23 Jun → | ||
| 13–4 | 0.10 | 34% | 22 Jun → | ||
| 12–12 | 0.09 | 27% | 19 Jun → | ||
| 8–13 | 0.06 | 21% | 18 Jun → | ||
| 4–13 | 0.02 | 8% | 13 Jun → | ||
| 16–12 | 0.02 | 25% | 10 Jun → | ||
| 13–5 | 0.04 | 16% | 10 Jun → | ||
| 13–9 | -0.00 | 24% | 8 Jun → | ||
| 13–10 | 0.12 | 24% | 2 Jun → | ||
| 13–11 | 0.07 | 24% | 2 Jun → | ||
| 13–7 | 0.10 | 29% | 30 May → | ||
| 13–1 | -0.03 | 30% | 30 May → | ||
| 13–9 | 0.12 | 32% | 28 May → | ||
| 13–9 | -0.00 | 27% | 28 May → | ||
| 3–13 | 0.06 | 24% | 27 May → | ||
| 11–13 | 0.02 | 20% | 23 May → | ||
| 6–13 | -0.07 | 14% | 22 May → | ||
| 10–13 | 0.02 | 26% | 22 May → | ||
| 7–13 | -0.03 | 20% | 22 May → | ||
| 13–2 | 0.04 | 33% | 20 May → | ||
| 13–2 | 0.03 | 26% | 20 May → | ||
| 8–13 | -0.04 | 17% | 20 May → | ||
| 13–9 | 0.01 | 41% | 15 May → | ||
| 10–13 | -0.02 | 29% | 14 May → | ||
| 13–8 | 0.04 | 22% | 13 May → | ||
| 9–13 | -0.03 | 31% | 10 May → | ||
| 14–16 | -0.02 | 25% | 6 May → | ||
| 8–13 | 0.02 | 28% | 3 May → | ||
| 12–12 | 0.06 | 19% | 3 May → | ||
| 13–5 | 0.05 | 22% | 3 May → | ||
| 13–10 | 0.07 | 32% | 1 May → | ||
| 8–13 | 0.07 | 17% | 29 Apr → | ||
| 4–13 | 0.03 | 28% | 26 Apr → | ||
| 13–6 | 0.10 | 18% | 26 Apr → | ||
| 13–4 | 0.05 | 26% | 24 Apr → | ||
| 13–5 | 0.00 | 19% | 22 Apr → | ||
| 13–6 | 0.15 | 16% | 21 Apr → | ||
| 13–5 | 0.02 | 24% | 21 Apr → | ||
| 5–13 | -0.02 | 17% | 18 Apr → | ||
| 13–4 | -0.00 | 21% | 18 Apr → | ||
| 13–0 | 0.07 | 31% | 17 Apr → | ||
| 13–4 | 0.05 | 16% | 15 Apr → | ||
| 7–13 | 0.08 | 30% | 12 Apr → | ||
| 5–13 | -0.02 | 26% | 8 Apr → | ||
| 8–13 | 0.02 | 26% | 5 Apr → | ||
| 13–2 | 0.09 | 35% | 2 Apr → | ||
| 17–19 | 0.07 | 26% | 30 Mar → | ||
| 13–9 | 0.06 | 31% | 28 Mar → | ||
| 13–10 | 0.08 | 20% | 28 Mar → | ||
| alpine | 10–13 | 0.06 | 20% | 14 Mar → | |
| 9–13 | -0.01 | 31% | 14 Mar → | ||
| 11–13 | -0.06 | 32% | 13 Mar → | ||
| 5–13 | -0.00 | 30% | 3 Mar → | ||
| 13–10 | -0.02 | 36% | 3 Mar → | ||
| 9–13 | -0.04 | 34% | 3 Mar → | ||
| 13–10 | 0.05 | 24% | 1 Mar → | ||
| 13–3 | 0.09 | 27% | 1 Mar → | ||
| 13–9 | 0.02 | 19% | 28 Feb → | ||
| 13–8 | 0.12 | 30% | 28 Feb → | ||
| 8–13 | 0.04 | 34% | 26 Feb → | ||
| 7–13 | 0.01 | 16% | 26 Feb → | ||
| 12–16 | 0.00 | 22% | 25 Feb → | ||
| 5–13 | 0.00 | 27% | 25 Feb → | ||
| 11–13 | 0.01 | 26% | 24 Feb → | ||
| 7–13 | 0.01 | 24% | 22 Feb → | ||
| 16–14 | 0.02 | 32% | 21 Feb → | ||
| 9–13 | 0.02 | 25% | 21 Feb → | ||
| 13–10 | -0.03 | 24% | 21 Feb → | ||
| 20–22 | 0.04 | 19% | 19 Feb → | ||
| 5–13 | 0.06 | 16% | 19 Feb → | ||
| 5–13 | -0.00 | 21% | 19 Feb → | ||
| 11–13 | 0.04 | 12% | 18 Feb → | ||
| stronghold | 9–13 | 0.02 | 17% | 15 Feb → | |
| 13–10 | 0.17 | 17% | 15 Feb → | ||
| stronghold | 12–12 | 0.11 | 19% | 15 Feb → | |
| warden | 5–13 | 0.01 | 18% | 15 Feb → | |
| 9–13 | -0.03 | 18% | 15 Feb → | ||
| 13–6 | 0.14 | 21% | 15 Feb → | ||
| 13–6 | 0.05 | 22% | 14 Feb → |
Match data via Leetify.