Crusty — CS2 Stats
76561199179396415[U:1:1219130687]
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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: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable in 1v1s
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 ropz 83% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Areas to improve
T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 693ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| S | 18 | 12–6 | 67% | -0.01 | |
| A | 17 | 10–7 | 59% | 0.00 | |
| S | 17 | 13–4 | 76% | -0.00 | |
| S | 15 | 11–4 | 73% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| S | 8 | 6–2 | 75% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| — | 4 | 3–1 | 75% | -0.03 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| warden | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 7 | 57% | 0.85 | 15.3 |
| Inferno | 5 | 60% | 1.12 | 18.8 |
| Dust2 | 3 | 33% | 0.59 | 9.3 |
| Mirage | 3 | 67% | 1.12 | 16.0 |
| Nuke | 3 | 67% | 1.36 | 15.7 |
| Train | 2 | 50% | 0.90 | 21.0 |
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
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2826° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.08 | 18% | 17 Aug → | ||
| 13–9 | -0.04 | 13% | 13 Aug → | ||
| 2–13 | -0.05 | 22% | 13 Aug → | ||
| 16–14 | -0.02 | 21% | 13 Aug → | ||
| 13–9 | 0.03 | 19% | 10 Aug → | ||
| 13–7 | 0.02 | 23% | 10 Aug → | ||
| 7–13 | -0.05 | 12% | 4 Aug → | ||
| 6–13 | -0.01 | 36% | 4 Aug → | ||
| 10–13 | -0.02 | 15% | 3 Aug → | ||
| 13–9 | 0.02 | 20% | 27 Jul → | ||
| 13–8 | -0.01 | 25% | 27 Jul → | ||
| 9–13 | -0.05 | 17% | 27 Jul → | ||
| 13–10 | -0.04 | 17% | 26 Jul → | ||
| 13–10 | 0.07 | 22% | 26 Jul → | ||
| 13–4 | 0.02 | 16% | 26 Jul → | ||
| 7–13 | -0.02 | 15% | 25 Jul → | ||
| 10–13 | -0.03 | 24% | 25 Jul → | ||
| 13–9 | -0.07 | 10% | 25 Jul → | ||
| 16–14 | -0.04 | 22% | 21 Jul → | ||
| 13–4 | -0.07 | 31% | 16 Jul → | ||
| 11–13 | -0.05 | 13% | 16 Jul → | ||
| 13–11 | -0.05 | 24% | 13 Jul → | ||
| 13–6 | 0.05 | 26% | 13 Jul → | ||
| 15–15 | 0.02 | 23% | 13 Jul → | ||
| 6–13 | -0.06 | 17% | 13 Jul → | ||
| 11–13 | -0.00 | 14% | 7 Jul → | ||
| 13–10 | -0.04 | 32% | 6 Jul → | ||
| 13–7 | -0.03 | 23% | 5 Jul → | ||
| 13–8 | -0.01 | 36% | 5 Jul → | ||
| 2–13 | -0.13 | 17% | 3 Jul → | ||
| warden | 6–13 | -0.09 | 10% | 3 Jul → | |
| 13–6 | 0.02 | 17% | 3 Jul → | ||
| 13–3 | 0.06 | 13% | 3 Jul → | ||
| 9–13 | -0.02 | 22% | 2 Jul → | ||
| 13–10 | 0.09 | 13% | 2 Jul → | ||
| 12–12 | -0.03 | 26% | 2 Jul → | ||
| 16–14 | 0.02 | 28% | 30 Jun → | ||
| 13–9 | 0.00 | 30% | 30 Jun → | ||
| 13–11 | 0.02 | 24% | 30 Jun → | ||
| 7–13 | -0.03 | 26% | 10 Jun → | ||
| 0–13 | -0.09 | 16% | 10 Jun → | ||
| 13–4 | 0.11 | 27% | 10 Jun → | ||
| 9–13 | 0.05 | 31% | 10 Jun → | ||
| 4–13 | -0.04 | 53% | 8 Jun → | ||
| 10–13 | -0.05 | 23% | 8 Jun → | ||
| 13–8 | -0.04 | 24% | 8 Jun → | ||
| 13–3 | 0.09 | 13% | 7 Jun → | ||
| 13–11 | -0.04 | 24% | 7 Jun → | ||
| 13–10 | -0.02 | 18% | 7 Jun → | ||
| 6–13 | -0.07 | 17% | 7 Jun → | ||
| 13–6 | 0.03 | 19% | 6 Jun → | ||
| 13–9 | -0.00 | 15% | 6 Jun → | ||
| 11–13 | -0.07 | 17% | 2 Jun → | ||
| 1–13 | -0.04 | 14% | 2 Jun → | ||
| 13–10 | -0.00 | 16% | 2 Jun → | ||
| 13–9 | -0.01 | 22% | 2 Jun → | ||
| 13–11 | 0.05 | 13% | 2 Jun → | ||
| 6–13 | -0.04 | 19% | 2 Jun → | ||
| 15–15 | -0.07 | 14% | 2 Jun → | ||
| 13–8 | 0.03 | 23% | 29 May → | ||
| 13–5 | -0.05 | 12% | 28 May → | ||
| 7–1 | 0.15 | 35% | 28 May → | ||
| 13–4 | 0.01 | 13% | 28 May → | ||
| 13–6 | -0.01 | 22% | 28 May → | ||
| 13–6 | 0.01 | 23% | 27 May → | ||
| 13–5 | -0.06 | 15% | 27 May → | ||
| 9–13 | 0.03 | 26% | 26 May → | ||
| 13–9 | 0.04 | 20% | 26 May → | ||
| 9–5 | -0.08 | 25% | 26 May → | ||
| 10–13 | -0.01 | 12% | 26 May → | ||
| 15–15 | -0.02 | 21% | 19 May → | ||
| 13–10 | 0.00 | 13% | 18 May → | ||
| 13–6 | -0.05 | 21% | 18 May → | ||
| 13–10 | -0.03 | 8% | 18 May → | ||
| 10–13 | -0.03 | 13% | 18 May → | ||
| 13–1 | -0.03 | 9% | 17 May → | ||
| 13–10 | -0.03 | 13% | 17 May → | ||
| 13–9 | -0.08 | 21% | 17 May → | ||
| 8–13 | -0.10 | 14% | 17 May → | ||
| 13–8 | 0.03 | 27% | 16 May → | ||
| 13–6 | -0.02 | 16% | 16 May → | ||
| 13–11 | 0.02 | 11% | 15 May → | ||
| 10–13 | 0.07 | 17% | 15 May → | ||
| 13–7 | 0.01 | 15% | 15 May → | ||
| 13–6 | 0.02 | 15% | 14 May → | ||
| 10–13 | 0.05 | 15% | 14 May → | ||
| 13–7 | 0.05 | 15% | 14 May → | ||
| 13–3 | 0.16 | 30% | 14 May → | ||
| 11–13 | -0.03 | 12% | 13 May → | ||
| 13–9 | -0.02 | 14% | 13 May → | ||
| 13–7 | 0.05 | 28% | 13 May → | ||
| 13–4 | 0.02 | 15% | 13 May → | ||
| 13–11 | 0.01 | 18% | 13 May → | ||
| 13–5 | -0.01 | 22% | 13 May → | ||
| 6–13 | -0.06 | 22% | 13 May → | ||
| 13–11 | -0.05 | 13% | 13 May → | ||
| 13–11 | -0.03 | 10% | 13 May → | ||
| 9–13 | 0.02 | 15% | 13 May → | ||
| 8–13 | -0.06 | 8% | 13 May → | ||
| 13–7 | 0.05 | 30% | 9 May → |
Match data via Leetify.