Patches — CS2 Stats
76561198142618495[U:1:182352767]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 NiKo 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 656ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 19 | 58% | 1.30 | 19.1 |
| Mirage | 12 | 42% | 0.97 | 16.4 |
| Nuke | 8 | 38% | 1.23 | 17.5 |
| Ancient | 8 | 50% | 1.22 | 15.6 |
| Inferno | 5 | 80% | 1.40 | 14.6 |
| Overpass | 3 | 33% | 1.15 | 18.7 |
| Train | 3 | 67% | 1.61 | 21.0 |
| Anubis | 2 | 100% | 1.86 | 16.5 |
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 29.76% — below the 40% 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 25% | 22 Aug → | ||
| 13–2 | 0.10 | 26% | 21 Aug → | ||
| 13–0 | 0.02 | 20% | 21 Aug → | ||
| 15–15 | 0.08 | 22% | 20 Aug → | ||
| 6–13 | -0.03 | 10% | 19 Aug → | ||
| 13–9 | 0.02 | 27% | 19 Aug → | ||
| 10–13 | 0.02 | 15% | 19 Aug → | ||
| 13–9 | 0.14 | 23% | 19 Aug → | ||
| 13–6 | 0.08 | 26% | 19 Aug → | ||
| 15–15 | 0.03 | 28% | 18 Aug → | ||
| 10–13 | 0.03 | 24% | 18 Aug → | ||
| 16–14 | 0.07 | 26% | 17 Aug → | ||
| 13–9 | -0.00 | 27% | 17 Aug → | ||
| 13–2 | 0.02 | 22% | 17 Aug → | ||
| 10–13 | -0.05 | 23% | 15 Aug → | ||
| 13–3 | 0.03 | 10% | 15 Aug → | ||
| 13–9 | 0.06 | 25% | 13 Aug → | ||
| 14–16 | -0.01 | 20% | 12 Aug → | ||
| 16–14 | 0.04 | 26% | 8 Aug → | ||
| 13–5 | 0.05 | 19% | 7 Aug → | ||
| 10–13 | 0.05 | 28% | 7 Aug → | ||
| 13–5 | 0.00 | 34% | 7 Aug → | ||
| 11–13 | 0.08 | 38% | 7 Aug → | ||
| 7–13 | -0.10 | 16% | 6 Aug → | ||
| 9–13 | 0.00 | 22% | 6 Aug → | ||
| 15–15 | -0.01 | 21% | 6 Aug → | ||
| 16–12 | 0.05 | 18% | 6 Aug → | ||
| 8–13 | -0.06 | 36% | 6 Aug → | ||
| 13–11 | -0.01 | 26% | 2 Aug → | ||
| 7–13 | 0.05 | 22% | 2 Aug → | ||
| 13–11 | 0.04 | 11% | 2 Aug → | ||
| 13–10 | 0.02 | 22% | 2 Aug → | ||
| 5–13 | -0.06 | 17% | 2 Aug → | ||
| 13–5 | -0.00 | 13% | 2 Aug → | ||
| 13–10 | 0.05 | 30% | 1 Aug → | ||
| 13–4 | 0.02 | 18% | 1 Aug → | ||
| 13–6 | 0.03 | 34% | 1 Aug → | ||
| 7–13 | -0.04 | 23% | 31 Jul → | ||
| 13–9 | -0.01 | 26% | 30 Jul → | ||
| 13–8 | -0.00 | 19% | 30 Jul → | ||
| 13–9 | 0.03 | 21% | 30 Jul → | ||
| 13–9 | 0.05 | 21% | 30 Jul → | ||
| 13–7 | 0.01 | 21% | 30 Jul → | ||
| 7–13 | -0.03 | 21% | 29 Jul → | ||
| 6–13 | -0.01 | 21% | 29 Jul → | ||
| 13–8 | -0.03 | 13% | 29 Jul → | ||
| 3–13 | 0.03 | 42% | 29 Jul → | ||
| 13–2 | 0.02 | 30% | 29 Jul → | ||
| 13–10 | 0.00 | 24% | 29 Jul → | ||
| 6–13 | 0.05 | 22% | 29 Jul → | ||
| 10–13 | -0.02 | 24% | 28 Jul → | ||
| 13–5 | 0.02 | 21% | 28 Jul → | ||
| 10–13 | -0.02 | 26% | 27 Jul → | ||
| 13–9 | -0.01 | 22% | 27 Jul → | ||
| 3–13 | -0.03 | 26% | 27 Jul → | ||
| 13–5 | 0.07 | 22% | 27 Jul → | ||
| 13–7 | 0.03 | 32% | 26 Jul → | ||
| 13–10 | 0.05 | 44% | 26 Jul → | ||
| 7–13 | -0.01 | 36% | 26 Jul → | ||
| 5–13 | -0.02 | 26% | 26 Jul → | ||
| 7–13 | -0.09 | 11% | 26 Jul → | ||
| 13–6 | -0.06 | 21% | 26 Jul → | ||
| 16–14 | 0.03 | 17% | 25 Jul → | ||
| 15–15 | 0.01 | 23% | 25 Jul → | ||
| 7–13 | -0.07 | 28% | 25 Jul → | ||
| 2–13 | -0.07 | 21% | 25 Jul → | ||
| 13–10 | 0.05 | 24% | 25 Jul → | ||
| 13–11 | 0.03 | 22% | 25 Jul → | ||
| 11–13 | -0.04 | 19% | 25 Jul → | ||
| 11–13 | 0.09 | 30% | 25 Jul → | ||
| 8–13 | 0.00 | 23% | 23 Jul → | ||
| 11–13 | 0.05 | 36% | 23 Jul → | ||
| 13–9 | -0.02 | 19% | 23 Jul → | ||
| 13–11 | 0.04 | 28% | 23 Jul → | ||
| 13–4 | -0.02 | 16% | 23 Jul → | ||
| 4–13 | -0.06 | 18% | 22 Jul → | ||
| 8–13 | 0.01 | 36% | 20 Jul → | ||
| 6–13 | -0.06 | 25% | 19 Jul → | ||
| 5–13 | 0.05 | 36% | 18 Jul → | ||
| 11–13 | 0.06 | 27% | 17 Jul → | ||
| 13–10 | 0.00 | 15% | 17 Jul → | ||
| 6–13 | 0.02 | 15% | 4 Jul → | ||
| 10–13 | -0.01 | 18% | 4 Jul → | ||
| 4–13 | 0.01 | 37% | 4 Jul → | ||
| 4–13 | -0.05 | 13% | 4 Jul → | ||
| 13–8 | 0.01 | 22% | 4 Jul → | ||
| 13–5 | 0.13 | 28% | 3 Jul → | ||
| 13–11 | 0.05 | 16% | 3 Jul → | ||
| 11–13 | -0.06 | 8% | 3 Jul → | ||
| 13–10 | 0.02 | 20% | 3 Jul → | ||
| 2–13 | 0.01 | 11% | 2 Jul → | ||
| 6–13 | -0.05 | 23% | 2 Jul → | ||
| 13–5 | 0.16 | 26% | 1 Jul → | ||
| 13–11 | 0.05 | 20% | 1 Jul → | ||
| 10–13 | -0.01 | 11% | 1 Jul → | ||
| 14–16 | -0.03 | 23% | 30 Jun → | ||
| 13–3 | 0.05 | 18% | 30 Jun → | ||
| 13–7 | 0.10 | 33% | 30 Jun → | ||
| 13–11 | 0.03 | 10% | 28 Jun → | ||
| 11–13 | -0.05 | 33% | 27 Jun → |
Match data via Leetify.