R — CS2 Stats
76561198416699943[U:1:456434215]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
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 Twistzz 83% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Areas to improve
T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 673ms 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 4.5/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 25 | 14–11 | 56% | -0.01 | |
| S | 18 | 12–6 | 67% | -0.02 | |
| D | 17 | 5–12 | 29% | -0.01 | |
| A | 15 | 9–6 | 60% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| S | 6 | 5–1 | 83% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 376 | 54% | 1.03 | 15.6 |
| Anubis | 258 | 48% | 1.03 | 14.7 |
| Mirage | 206 | 49% | 0.94 | 13.7 |
| Nuke | 200 | 48% | 0.99 | 14.9 |
| Inferno | 141 | 41% | 0.93 | 13.8 |
| Vertigo | 100 | 49% | 0.96 | 15.1 |
| Overpass | 86 | 50% | 0.98 | 14.5 |
| Train | 50 | 50% | 1.00 | 14.4 |
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.
- 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 14.1835° — 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.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.06 | 18% | 25 Aug → | ||
| 7–13 | 0.03 | 24% | 24 Aug → | ||
| 6–13 | -0.08 | 16% | 24 Aug → | ||
| 13–4 | -0.05 | 22% | 14 Aug → | ||
| 13–10 | 0.01 | 11% | 7 Aug → | ||
| 13–10 | -0.02 | 14% | 30 Jul → | ||
| 13–7 | 0.03 | 17% | 30 Jul → | ||
| 14–16 | 0.07 | 22% | 30 Jul → | ||
| 7–13 | -0.04 | 24% | 25 Jul → | ||
| 11–13 | -0.02 | 8% | 23 Jul → | ||
| 10–13 | -0.05 | 21% | 23 Jul → | ||
| 13–6 | 0.04 | 33% | 22 Jul → | ||
| 13–11 | -0.01 | 12% | 21 Jul → | ||
| 11–13 | 0.02 | 34% | 21 Jul → | ||
| 13–7 | 0.02 | 18% | 21 Jul → | ||
| 7–13 | -0.08 | 20% | 21 Jul → | ||
| 13–3 | -0.00 | 9% | 21 Jul → | ||
| 10–13 | -0.06 | 4% | 9 Jul → | ||
| 13–5 | -0.05 | 9% | 9 Jul → | ||
| 1–9 | -0.03 | 0% | 4 Jul → | ||
| 2–13 | -0.04 | 18% | 4 Jul → | ||
| 13–16 | -0.06 | 9% | 1 Jul → | ||
| 13–6 | -0.02 | 15% | 1 Jul → | ||
| 13–10 | -0.07 | 24% | 1 Jul → | ||
| 13–8 | -0.03 | 20% | 30 Jun → | ||
| 13–10 | -0.03 | 13% | 29 Jun → | ||
| 13–9 | -0.03 | 12% | 28 Jun → | ||
| 13–7 | 0.05 | 9% | 28 Jun → | ||
| 8–13 | -0.03 | 21% | 28 Jun → | ||
| 16–13 | -0.01 | 9% | 28 Jun → | ||
| 13–7 | -0.03 | 21% | 28 Jun → | ||
| 9–13 | 0.01 | 23% | 28 Jun → | ||
| 13–11 | -0.03 | 27% | 26 Jun → | ||
| 8–13 | -0.08 | 26% | 26 Jun → | ||
| 13–10 | -0.04 | 32% | 25 Jun → | ||
| 13–6 | -0.07 | 37% | 25 Jun → | ||
| 11–13 | 0.00 | 22% | 24 Jun → | ||
| 13–8 | -0.06 | 19% | 24 Jun → | ||
| 7–13 | -0.04 | 20% | 24 Jun → | ||
| 13–9 | 0.03 | 20% | 24 Jun → | ||
| 10–13 | -0.01 | 20% | 24 Jun → | ||
| 13–11 | -0.07 | 18% | 24 Jun → | ||
| 5–13 | -0.03 | 32% | 23 Jun → | ||
| 10–13 | -0.08 | 15% | 22 Jun → | ||
| 13–4 | -0.03 | 17% | 20 Jun → | ||
| 13–7 | -0.00 | 18% | 20 Jun → | ||
| 9–13 | -0.04 | 25% | 20 Jun → | ||
| 7–13 | -0.01 | 23% | 20 Jun → | ||
| 8–13 | -0.03 | 15% | 19 Jun → | ||
| 13–10 | -0.02 | 26% | 19 Jun → | ||
| 11–13 | 0.05 | 22% | 19 Jun → | ||
| 6–13 | -0.07 | 29% | 16 Jun → | ||
| 14–16 | -0.04 | 25% | 5 Jun → | ||
| 8–13 | 0.02 | 27% | 5 Jun → | ||
| 3–13 | -0.05 | 40% | 5 Jun → | ||
| 13–10 | -0.01 | 14% | 4 Jun → | ||
| 13–1 | 0.06 | 12% | 3 Jun → | ||
| 13–7 | -0.02 | 18% | 3 Jun → | ||
| 8–13 | -0.02 | 30% | 3 Jun → | ||
| 8–13 | -0.00 | 42% | 30 May → | ||
| 13–8 | 0.01 | 20% | 29 May → | ||
| 13–9 | -0.07 | 16% | 29 May → | ||
| 17–19 | -0.04 | 21% | 28 May → | ||
| 16–12 | -0.06 | 20% | 28 May → | ||
| 13–7 | -0.05 | 23% | 27 May → | ||
| 7–13 | -0.01 | 22% | 25 May → | ||
| 9–13 | -0.05 | 33% | 25 May → | ||
| 13–11 | -0.00 | 21% | 25 May → | ||
| 15–15 | 0.01 | 14% | 24 May → | ||
| 10–0 | 0.04 | 22% | 24 May → | ||
| 13–7 | 0.01 | 22% | 24 May → | ||
| 16–13 | -0.02 | 22% | 24 May → | ||
| 3–13 | -0.09 | 14% | 23 May → | ||
| 13–10 | 0.09 | 29% | 23 May → | ||
| 3–13 | -0.03 | 16% | 23 May → | ||
| 13–7 | 0.05 | 19% | 23 May → | ||
| 13–8 | 0.14 | 20% | 23 May → | ||
| 13–1 | 0.03 | 26% | 23 May → | ||
| 15–15 | 0.07 | 18% | 23 May → | ||
| 10–13 | 0.05 | 27% | 23 May → | ||
| 6–13 | -0.05 | 17% | 21 May → | ||
| 13–10 | -0.02 | 19% | 20 May → | ||
| 5–13 | -0.05 | 10% | 20 May → | ||
| 3–13 | -0.11 | 29% | 17 May → | ||
| 13–10 | -0.04 | 24% | 17 May → | ||
| 16–19 | -0.04 | 18% | 15 May → | ||
| 9–13 | -0.01 | 21% | 15 May → | ||
| 13–11 | -0.06 | 13% | 15 May → | ||
| 13–1 | -0.01 | 35% | 15 May → | ||
| 11–13 | -0.03 | 5% | 14 May → | ||
| 13–11 | 0.02 | 20% | 14 May → | ||
| 13–11 | 0.03 | 29% | 13 May → | ||
| 13–11 | -0.03 | 20% | 12 May → | ||
| 13–8 | 0.04 | 16% | 12 May → | ||
| 13–1 | 0.05 | 32% | 12 May → | ||
| 13–9 | -0.03 | 13% | 12 May → | ||
| 19–17 | -0.01 | 27% | 10 May → | ||
| 13–1 | 0.05 | 8% | 7 May → | ||
| 11–13 | -0.03 | 20% | 7 May → | ||
| 14–16 | -0.02 | 16% | 7 May → |
Match data via Leetify.
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