angelj93 — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.00 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 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 786ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 19 | 7–12 | 37% | -0.02 | |
| A | 14 | 9–5 | 64% | -0.03 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| D | 8 | 2–6 | 25% | -0.04 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| fachwerk | — | 2 | 0–2 | 0% | 0.04 |
| warden | — | 2 | 2–0 | 100% | 0.06 |
| alpine | — | 2 | 1–1 | 50% | 0.00 |
| office | — | 1 | 1–0 | 100% | -0.01 |
| stronghold | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 31% | 0.74 | 12.2 |
| Inferno | 3 | 67% | 1.07 | 15.3 |
| Ancient | 2 | 100% | 1.16 | 27.5 |
| Nuke | 2 | 100% | 1.24 | 14.0 |
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 785.9485ms — above the 700ms mark we flag
- 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 32.6415% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 18% | 28 Aug → | ||
| 13–8 | -0.07 | 17% | 27 Aug → | ||
| 11–13 | 0.02 | 10% | 25 Aug → | ||
| 13–7 | 0.02 | 29% | 2 Aug → | ||
| 13–8 | -0.00 | 20% | 2 Aug → | ||
| 16–14 | -0.00 | 18% | 1 Aug → | ||
| 13–9 | -0.02 | 19% | 1 Aug → | ||
| 13–10 | -0.00 | 19% | 1 Aug → | ||
| fachwerk | 8–13 | 0.05 | 33% | 1 Aug → | |
| 13–16 | -0.08 | 26% | 31 Jul → | ||
| 10–4 | 0.01 | 16% | 31 Jul → | ||
| 4–13 | -0.04 | 28% | 31 Jul → | ||
| 10–13 | -0.03 | 7% | 27 Jul → | ||
| 13–8 | -0.02 | 26% | 18 Jul → | ||
| 13–16 | 0.00 | 27% | 18 Jul → | ||
| fachwerk | 10–13 | 0.03 | 12% | 18 Jul → | |
| 13–9 | 0.00 | 16% | 1 Jul → | ||
| 7–13 | -0.07 | 16% | 30 Jun → | ||
| 10–13 | -0.08 | 26% | 30 Jun → | ||
| 13–11 | 0.06 | 25% | 21 Jun → | ||
| 3–13 | -0.10 | 13% | 21 Jun → | ||
| 13–9 | -0.04 | 15% | 21 Jun → | ||
| 13–9 | -0.04 | 28% | 21 Jun → | ||
| 13–11 | -0.01 | 15% | 20 Jun → | ||
| 6–13 | -0.04 | 23% | 20 Jun → | ||
| 11–13 | 0.04 | 28% | 19 Jun → | ||
| 12–12 | -0.05 | 18% | 19 Jun → | ||
| 12–12 | 0.07 | 20% | 10 Jun → | ||
| 13–9 | 0.04 | 13% | 9 Jun → | ||
| 4–13 | 0.05 | 21% | 9 Jun → | ||
| 6–13 | 0.01 | 17% | 9 Jun → | ||
| 13–7 | -0.04 | 23% | 9 Jun → | ||
| 13–9 | -0.05 | 8% | 4 Jun → | ||
| 10–13 | -0.02 | 5% | 4 Jun → | ||
| 9–13 | -0.01 | 17% | 29 May → | ||
| 7–13 | -0.08 | 25% | 29 May → | ||
| 13–7 | -0.09 | 13% | 29 May → | ||
| 10–13 | -0.02 | 29% | 29 May → | ||
| 11–13 | -0.02 | 22% | 21 May → | ||
| 13–9 | -0.04 | 24% | 21 May → | ||
| 3–13 | -0.05 | 24% | 20 May → | ||
| 13–4 | 0.05 | 21% | 18 May → | ||
| warden | 13–9 | 0.06 | 30% | 13 May → | |
| 13–9 | -0.02 | 38% | 8 May → | ||
| 4–13 | -0.01 | 23% | 2 May → | ||
| 4–13 | -0.02 | 21% | 2 May → | ||
| 13–9 | 0.08 | 16% | 2 May → | ||
| 13–5 | -0.10 | 22% | 1 May → | ||
| 2–13 | -0.08 | 14% | 1 May → | ||
| 13–11 | -0.01 | 7% | 30 Apr → | ||
| 13–6 | -0.03 | 29% | 30 Apr → | ||
| 8–13 | -0.05 | 32% | 30 Apr → | ||
| 11–13 | -0.03 | 25% | 27 Apr → | ||
| 4–13 | -0.06 | 23% | 27 Apr → | ||
| 10–13 | -0.02 | 11% | 23 Apr → | ||
| 9–13 | -0.09 | 6% | 17 Apr → | ||
| 13–11 | -0.04 | 24% | 17 Apr → | ||
| 13–5 | -0.01 | 17% | 16 Apr → | ||
| 9–13 | 0.04 | 17% | 11 Apr → | ||
| 8–13 | -0.07 | 16% | 11 Apr → | ||
| 13–9 | -0.08 | 24% | 10 Apr → | ||
| alpine | 13–9 | 0.04 | 40% | 10 Apr → | |
| 13–3 | 0.01 | 13% | 9 Apr → | ||
| 12–12 | 0.02 | 16% | 5 Apr → | ||
| 7–13 | -0.06 | 18% | 5 Apr → | ||
| 7–13 | 0.00 | 25% | 27 Mar → | ||
| 5–13 | -0.02 | 26% | 26 Mar → | ||
| 8–13 | -0.04 | 29% | 19 Mar → | ||
| office | 13–10 | -0.01 | 13% | 18 Mar → | |
| 13–5 | 0.01 | 19% | 12 Mar → | ||
| 8–13 | -0.02 | 19% | 12 Mar → | ||
| 6–13 | 0.00 | 24% | 11 Mar → | ||
| 11–13 | 0.02 | 25% | 11 Mar → | ||
| 12–12 | 0.00 | 34% | 11 Mar → | ||
| warden | 13–5 | 0.05 | 18% | 22 Feb → | |
| 13–4 | -0.02 | 43% | 21 Feb → | ||
| 13–8 | -0.03 | 23% | 10 Feb → | ||
| 7–13 | 0.01 | 40% | 2 Feb → | ||
| 13–8 | -0.03 | 17% | 1 Feb → | ||
| 13–10 | 0.01 | 17% | 1 Feb → | ||
| 13–3 | -0.03 | 44% | 1 Feb → | ||
| 13–9 | -0.04 | 31% | 1 Feb → | ||
| alpine | 7–13 | -0.04 | 26% | 1 Feb → | |
| 11–13 | -0.01 | 28% | 30 Jan → | ||
| 13–1 | -0.04 | 17% | 30 Jan → | ||
| stronghold | 13–10 | -0.05 | 18% | 23 Jan → | |
| 10–13 | -0.10 | 14% | 14 Jan → | ||
| 13–7 | -0.03 | 12% | 14 Jan → | ||
| 5–13 | -0.04 | 14% | 14 Jan → | ||
| 10–13 | -0.05 | 22% | 3 Jan → | ||
| 10–13 | -0.00 | 16% | 3 Jan → | ||
| 13–3 | -0.02 | 21% | 20 Dec → | ||
| 9–13 | 0.01 | 17% | 20 Dec → | ||
| 13–10 | 0.03 | 23% | 8 Dec → | ||
| 13–11 | 0.02 | 13% | 5 Dec → | ||
| 4–13 | -0.12 | 24% | 5 Dec → | ||
| 7–13 | -0.06 | 36% | 30 Oct → | ||
| 4–13 | -0.09 | 12% | 30 Oct → | ||
| 12–12 | -0.00 | 22% | 25 Oct → | ||
| 10–13 | 0.02 | 14% | 16 Oct → |
Match data via Leetify.