Nick — CS2 Stats
76561198125730727[U:1:165464999]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong 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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
CT openings. 75% 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 75% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 563ms 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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
| D | 27 | 8–19 | 30% | 0.02 | |
| A | 18 | 10–8 | 56% | 0.04 | |
| A | 18 | 10–8 | 56% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.08 | |
| C | 10 | 4–6 | 40% | 0.09 | |
| — | 4 | 3–1 | 75% | 0.12 | |
| — | 4 | 3–1 | 75% | 0.11 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | 0.06 | |
| office | — | 2 | 1–1 | 50% | 0.08 |
| — | 1 | 1–0 | 100% | 0.06 | |
| fachwerk | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 60% | 1.16 | 17.5 |
| Dust2 | 25 | 76% | 1.24 | 16.6 |
| Nuke | 11 | 45% | 1.23 | 18.3 |
| Inferno | 10 | 60% | 1.11 | 18.0 |
| Ancient | 9 | 67% | 1.62 | 18.9 |
| Train | 2 | 50% | 1.18 | 28.0 |
| Overpass | 1 | 100% | 2.14 | 30.0 |
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.
30% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.20 | 28% | 24 Aug → | ||
| 2–13 | -0.08 | 17% | 19 Aug → | ||
| 8–13 | -0.04 | 26% | 19 Aug → | ||
| 8–13 | 0.02 | 28% | 19 Aug → | ||
| 13–11 | 0.13 | 31% | 19 Aug → | ||
| 4–0 | 0.14 | 46% | 19 Aug → | ||
| 13–10 | -0.01 | 31% | 19 Aug → | ||
| 6–13 | -0.01 | 31% | 18 Aug → | ||
| 1–13 | -0.06 | 45% | 18 Aug → | ||
| 2–13 | 0.05 | 29% | 18 Aug → | ||
| 11–13 | 0.14 | 31% | 16 Aug → | ||
| 13–3 | 0.14 | 38% | 16 Aug → | ||
| 13–8 | 0.13 | 23% | 16 Aug → | ||
| 13–3 | 0.18 | 31% | 16 Aug → | ||
| 11–13 | 0.04 | 27% | 16 Aug → | ||
| 11–13 | 0.09 | 28% | 15 Aug → | ||
| 13–9 | 0.01 | 21% | 14 Aug → | ||
| 16–13 | 0.06 | 30% | 14 Aug → | ||
| 7–9 | 0.09 | 20% | 14 Aug → | ||
| 13–5 | 0.03 | 34% | 14 Aug → | ||
| 11–13 | 0.03 | 21% | 14 Aug → | ||
| 9–13 | 0.09 | 33% | 12 Aug → | ||
| 4–13 | 0.01 | 32% | 12 Aug → | ||
| 13–8 | 0.07 | 27% | 12 Aug → | ||
| 12–12 | 0.07 | 37% | 12 Aug → | ||
| 13–3 | 0.13 | 33% | 12 Aug → | ||
| 16–14 | 0.05 | 14% | 12 Aug → | ||
| 10–13 | 0.07 | 37% | 12 Aug → | ||
| 13–5 | 0.06 | 37% | 12 Aug → | ||
| 12–12 | 0.09 | 35% | 12 Aug → | ||
| 13–5 | 0.10 | 29% | 12 Aug → | ||
| 6–13 | 0.04 | 67% | 11 Aug → | ||
| 13–11 | 0.02 | 18% | 11 Aug → | ||
| 13–4 | 0.11 | 25% | 11 Aug → | ||
| 13–7 | -0.00 | 37% | 6 Aug → | ||
| 13–9 | 0.04 | 21% | 6 Aug → | ||
| 3–13 | 0.00 | 32% | 6 Aug → | ||
| 12–12 | 0.02 | 32% | 6 Aug → | ||
| 13–9 | 0.04 | 19% | 6 Aug → | ||
| 13–3 | 0.23 | 37% | 6 Aug → | ||
| 5–13 | 0.09 | 29% | 6 Aug → | ||
| 12–12 | 0.09 | 24% | 6 Aug → | ||
| 11–13 | 0.03 | 33% | 6 Aug → | ||
| 8–13 | -0.01 | 9% | 5 Aug → | ||
| 13–10 | 0.05 | 17% | 5 Aug → | ||
| 13–11 | -0.04 | 26% | 5 Aug → | ||
| office | 13–10 | 0.07 | 24% | 5 Aug → | |
| 8–13 | -0.05 | 14% | 5 Aug → | ||
| 11–13 | 0.10 | 29% | 5 Aug → | ||
| 8–13 | 0.05 | 21% | 4 Aug → | ||
| 4–10 | 0.04 | 38% | 4 Aug → | ||
| 13–9 | 0.08 | 29% | 4 Aug → | ||
| 13–6 | 0.05 | 30% | 4 Aug → | ||
| 8–13 | -0.02 | 28% | 3 Aug → | ||
| 13–10 | 0.06 | 33% | 3 Aug → | ||
| 13–8 | 0.03 | 19% | 3 Aug → | ||
| 13–7 | 0.11 | 24% | 3 Aug → | ||
| 12–12 | -0.03 | 50% | 3 Aug → | ||
| 4–13 | 0.15 | 40% | 3 Aug → | ||
| 9–13 | 0.06 | 33% | 1 Aug → | ||
| 7–13 | 0.01 | 22% | 1 Aug → | ||
| 2–13 | 0.01 | 27% | 1 Aug → | ||
| 10–13 | -0.00 | 31% | 31 Jul → | ||
| 13–11 | -0.02 | 25% | 30 Jul → | ||
| 12–12 | 0.07 | 19% | 30 Jul → | ||
| 13–10 | -0.02 | 24% | 30 Jul → | ||
| 2–13 | -0.10 | 18% | 30 Jul → | ||
| 13–5 | 0.02 | 31% | 30 Jul → | ||
| 13–6 | 0.06 | 33% | 30 Jul → | ||
| 13–4 | 0.07 | 39% | 30 Jul → | ||
| 10–13 | 0.05 | 33% | 30 Jul → | ||
| 13–11 | 0.03 | 31% | 29 Jul → | ||
| 8–13 | 0.02 | 26% | 29 Jul → | ||
| 15–15 | 0.04 | 35% | 29 Jul → | ||
| 3–13 | -0.02 | 21% | 29 Jul → | ||
| 10–13 | 0.11 | 40% | 29 Jul → | ||
| 13–10 | 0.10 | 32% | 28 Jul → | ||
| 13–1 | 0.05 | 31% | 28 Jul → | ||
| 5–13 | -0.02 | 34% | 28 Jul → | ||
| 13–11 | 0.04 | 37% | 28 Jul → | ||
| 11–13 | 0.07 | 36% | 28 Jul → | ||
| 2–7 | -0.04 | 40% | 28 Jul → | ||
| 13–6 | -0.06 | 29% | 28 Jul → | ||
| office | 11–13 | 0.09 | 36% | 28 Jul → | |
| 10–13 | -0.01 | 22% | 27 Jul → | ||
| 13–11 | 0.14 | 42% | 27 Jul → | ||
| fachwerk | 13–6 | -0.00 | 39% | 25 Jul → | |
| 12–12 | 0.14 | 36% | 24 Jul → | ||
| 13–7 | 0.05 | 39% | 23 Jul → | ||
| 13–7 | 0.07 | 36% | 22 Jul → | ||
| 13–5 | 0.03 | 34% | 22 Jul → | ||
| 5–13 | -0.01 | 11% | 22 Jul → | ||
| 11–13 | -0.05 | 28% | 22 Jul → | ||
| 13–9 | -0.02 | 22% | 22 Jul → | ||
| 7–13 | 0.10 | 17% | 22 Jul → | ||
| 13–4 | 0.16 | 68% | 22 Jul → | ||
| 12–12 | 0.14 | 39% | 22 Jul → | ||
| 12–12 | 0.12 | 45% | 20 Jul → | ||
| 0–7 | 0.03 | 56% | 20 Jul → | ||
| 13–5 | 0.06 | 22% | 20 Jul → |
Match data via Leetify.