net — CS2 Stats
76561197962853713[U:1:2587985]✓ 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
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 86% 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. 614ms 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 4.3/10 (Developing), 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 | 26 | 12–14 | 46% | 0.00 | |
| C | 24 | 10–14 | 42% | -0.00 | |
| S | 20 | 14–6 | 70% | 0.00 | |
| C | 16 | 6–10 | 38% | -0.03 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 185 | 47% | 1.08 | 16.1 |
| Inferno | 185 | 56% | 1.22 | 16.3 |
| Anubis | 153 | 59% | 1.09 | 16.1 |
| Dust2 | 85 | 38% | 0.99 | 14.6 |
| Nuke | 22 | 55% | 1.07 | 14.9 |
| Overpass | 14 | 36% | 1.34 | 16.4 |
| Cache | 8 | 62% | 1.06 | 14.3 |
| Train | 6 | 17% | 1.00 | 16.0 |
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 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 32.3403% — 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.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.03 | 17% | 8 Jul → | ||
| 7–13 | -0.09 | 9% | 30 Jun → | ||
| 7–13 | -0.04 | 10% | 22 Jun → | ||
| 11–13 | -0.09 | 11% | 16 Jun → | ||
| 13–10 | -0.08 | 0% | 7 Jun → | ||
| 3–13 | -0.03 | 25% | 15 May → | ||
| 9–13 | -0.03 | 23% | 14 May → | ||
| 5–13 | -0.07 | 17% | 5 May → | ||
| 23–25 | 0.00 | 22% | 4 May → | ||
| 1–5 | 0.08 | 43% | 4 May → | ||
| 6–13 | 0.05 | 26% | 29 Apr → | ||
| 11–13 | -0.02 | 17% | 27 Apr → | ||
| 10–13 | 0.03 | 16% | 22 Apr → | ||
| 14–16 | 0.01 | 17% | 22 Apr → | ||
| 6–13 | -0.08 | 14% | 21 Apr → | ||
| 13–9 | 0.01 | 15% | 15 Apr → | ||
| 6–13 | -0.06 | 10% | 13 Apr → | ||
| 15–15 | 0.02 | 22% | 13 Apr → | ||
| 5–13 | 0.01 | 14% | 13 Apr → | ||
| 13–10 | -0.03 | 10% | 13 Apr → | ||
| 13–11 | -0.02 | 25% | 10 Apr → | ||
| 2–13 | -0.09 | 24% | 10 Apr → | ||
| 13–4 | 0.08 | 19% | 10 Apr → | ||
| 13–3 | 0.13 | 14% | 10 Apr → | ||
| 13–1 | -0.04 | 11% | 10 Apr → | ||
| 3–13 | -0.01 | 7% | 9 Apr → | ||
| 13–4 | -0.06 | 12% | 9 Apr → | ||
| 13–7 | 0.02 | 13% | 9 Apr → | ||
| 13–6 | 0.00 | 16% | 8 Apr → | ||
| 7–13 | -0.05 | 11% | 6 Apr → | ||
| 16–14 | -0.03 | 15% | 6 Apr → | ||
| 13–3 | 0.06 | 11% | 6 Apr → | ||
| 13–4 | 0.09 | 21% | 6 Apr → | ||
| 2–13 | -0.02 | 13% | 6 Apr → | ||
| 13–7 | 0.04 | 20% | 6 Apr → | ||
| 13–11 | 0.00 | 10% | 6 Apr → | ||
| 13–11 | -0.08 | 12% | 5 Apr → | ||
| 16–12 | 0.10 | 24% | 5 Apr → | ||
| 13–9 | -0.03 | 12% | 5 Apr → | ||
| 13–4 | 0.09 | 11% | 5 Apr → | ||
| 10–13 | -0.03 | 13% | 5 Apr → | ||
| 7–13 | 0.01 | 9% | 5 Apr → | ||
| 13–8 | -0.03 | 21% | 1 Apr → | ||
| 16–14 | 0.06 | 18% | 1 Apr → | ||
| 13–11 | 0.03 | 17% | 1 Apr → | ||
| 13–6 | 0.05 | 12% | 31 Mar → | ||
| 13–8 | 0.02 | 22% | 30 Mar → | ||
| 9–13 | -0.02 | 14% | 30 Mar → | ||
| 13–6 | -0.01 | 15% | 30 Mar → | ||
| 7–13 | -0.02 | 15% | 30 Mar → | ||
| 5–13 | -0.05 | 14% | 29 Mar → | ||
| 5–13 | -0.07 | 25% | 24 Mar → | ||
| 3–13 | 0.08 | 24% | 24 Mar → | ||
| 13–11 | -0.05 | 12% | 24 Mar → | ||
| 6–13 | -0.01 | 16% | 23 Mar → | ||
| 13–8 | 0.00 | 9% | 23 Mar → | ||
| 9–13 | -0.00 | 13% | 23 Mar → | ||
| 16–13 | -0.00 | 14% | 23 Mar → | ||
| 13–6 | 0.04 | 12% | 13 Mar → | ||
| 13–5 | -0.03 | 32% | 13 Mar → | ||
| 4–13 | -0.04 | 19% | 13 Mar → | ||
| 13–10 | 0.00 | 7% | 13 Mar → | ||
| 13–8 | -0.04 | 17% | 8 Mar → | ||
| 13–6 | -0.04 | 7% | 8 Mar → | ||
| 13–10 | 0.01 | 18% | 8 Mar → | ||
| 4–13 | -0.01 | 9% | 6 Mar → | ||
| 14–16 | 0.03 | 14% | 6 Mar → | ||
| 13–10 | 0.02 | 20% | 6 Mar → | ||
| 6–2 | -0.04 | 14% | 6 Mar → | ||
| 14–16 | 0.01 | 14% | 6 Mar → | ||
| 5–13 | -0.07 | 14% | 5 Mar → | ||
| 5–13 | -0.04 | 14% | 4 Mar → | ||
| 13–9 | -0.03 | 16% | 4 Mar → | ||
| 13–7 | 0.02 | 23% | 2 Mar → | ||
| 7–13 | -0.05 | 16% | 2 Mar → | ||
| 5–13 | -0.00 | 25% | 27 Feb → | ||
| 7–13 | -0.03 | 17% | 27 Feb → | ||
| 13–10 | 0.09 | 17% | 27 Feb → | ||
| 13–16 | -0.03 | 15% | 27 Feb → | ||
| 13–2 | 0.02 | 11% | 27 Feb → | ||
| 13–8 | -0.02 | 16% | 27 Feb → | ||
| 8–13 | -0.05 | 24% | 25 Feb → | ||
| 7–13 | 0.02 | 29% | 25 Feb → | ||
| 13–9 | -0.00 | 17% | 25 Feb → | ||
| 13–6 | 0.01 | 19% | 23 Feb → | ||
| 13–10 | 0.01 | 16% | 23 Feb → | ||
| 3–13 | -0.04 | 9% | 23 Feb → | ||
| 5–13 | -0.03 | 20% | 23 Feb → | ||
| 15–15 | -0.05 | 11% | 22 Feb → | ||
| 13–10 | 0.02 | 14% | 22 Feb → | ||
| 13–9 | -0.00 | 15% | 22 Feb → | ||
| 7–13 | -0.00 | 17% | 22 Feb → | ||
| 15–15 | 0.01 | 15% | 10 Feb → | ||
| 10–13 | -0.02 | 15% | 10 Feb → | ||
| 13–10 | 0.02 | 16% | 10 Feb → | ||
| 6–13 | -0.04 | 15% | 4 Feb → | ||
| 13–6 | 0.06 | 27% | 4 Feb → | ||
| 15–15 | -0.01 | 21% | 4 Feb → | ||
| 11–13 | 0.01 | 10% | 2 Feb → | ||
| 13–6 | 0.06 | 18% | 2 Feb → |
Match data via Leetify.
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