awoka — CS2 Stats
76561199368474986[U:1:1408209258]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 45.2% | 42.1% | 42.5% | above |
| Shot accuracy | 4.0% | 12.1% | 10.9% | 6.9% short |
| Kill/death ratio | 0.69 | 0.99 | 0.99 | 0.31 short |
| Match win rate | 40.0% | 43.9% | 44.2% | 4.2% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.13 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 78% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.3/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | C | 32 | 13–19 | 41% | -0.01 |
 dust2 | A | 18 | 11–7 | 61% | -0.01 |
 ancient | S | 14 | 10–4 | 71% | -0.02 |
 nuke | B | 12 | 6–6 | 50% | 0.01 |
 inferno | A | 11 | 7–4 | 64% | 0.03 |
 anubis | D | 7 | 2–5 | 29% | -0.02 |
 vertigo | — | 3 | 1–2 | 33% | 0.11 |
 train | — | 2 | 1–1 | 50% | -0.00 |
 cache | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 75 | 47% | 0.70 | 11.1 |
| Ancient | 38 | 63% | 0.71 | 11.7 |
| Dust2 | 26 | 50% | 0.76 | 11.4 |
| Anubis | 23 | 39% | 0.80 | 13.2 |
| Nuke | 21 | 48% | 0.62 | 10.1 |
| Inferno | 21 | 57% | 0.73 | 11.2 |
| Overpass | 6 | 67% | 0.64 | 11.5 |
| Train | 6 | 100% | 0.88 | 15.7 |
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 12.1028° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3903 — below the 0.5 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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 9–6 | 0.12 | 19% | 27 Aug → | |
| vertigo | 9–5 | 0.21 | 36% | 27 Aug → | |
| nuke | 9–1 | 0.41 | 14% | 27 Aug → | |
| inferno | 9–5 | 0.12 | 24% | 27 Aug → | |
| ancient | 4–9 | 0.01 | 12% | 27 Aug → | |
| dust2 | 5–13 | -0.05 | 19% | 27 Aug → | |
| vertigo | 7–9 | 0.09 | 17% | 26 Aug → | |
| inferno | 8–8 | 0.14 | 26% | 26 Aug → | |
| nuke | 5–9 | 0.03 | 20% | 26 Aug → | |
| inferno | 9–4 | 0.13 | 53% | 26 Aug → | |
| anubis | 13–6 | 0.03 | 13% | 26 Aug → | |
| ancient | 5–13 | -0.02 | 20% | 26 Aug → | |
| mirage | 4–13 | -0.06 | 26% | 23 Aug → | |
| anubis | 14–16 | -0.07 | 17% | 23 Aug → | |
| ancient | 6–13 | 0.03 | 18% | 22 Aug → | |
| ancient | 16–13 | -0.03 | 19% | 22 Aug → | |
| nuke | 13–11 | -0.00 | 19% | 21 Aug → | |
| ancient | 13–7 | 0.01 | 20% | 21 Aug → | |
| mirage | 9–13 | -0.03 | 20% | 21 Aug → | |
| mirage | 4–13 | 0.03 | 19% | 21 Aug → | |
| ancient | 13–8 | -0.01 | 18% | 21 Aug → | |
| mirage | 9–13 | -0.09 | 16% | 20 Aug → | |
| anubis | 13–9 | 0.02 | 9% | 20 Aug → | |
| mirage | 1–13 | -0.10 | 14% | 20 Aug → | |
| dust2 | 13–7 | -0.04 | 13% | 20 Aug → | |
| inferno | 9–0 | 0.10 | 36% | 20 Aug → | |
| ancient | 10–13 | -0.05 | 13% | 19 Aug → | |
| mirage | 13–11 | 0.02 | 24% | 19 Aug → | |
| nuke | 9–13 | -0.03 | 22% | 19 Aug → | |
| dust2 | 13–8 | 0.01 | 14% | 19 Aug → | |
| inferno | 13–7 | -0.04 | 8% | 19 Aug → | |
| ancient | 4–13 | -0.08 | 15% | 19 Aug → | |
| nuke | 13–9 | -0.00 | 12% | 19 Aug → | |
| nuke | 13–7 | -0.04 | 11% | 19 Aug → | |
| anubis | 11–13 | -0.02 | 9% | 19 Aug → | |
| anubis | 10–13 | -0.05 | 16% | 19 Aug → | |
| dust2 | 13–8 | -0.04 | 15% | 18 Aug → | |
| nuke | 13–7 | -0.09 | 12% | 18 Aug → | |
| mirage | 13–9 | -0.06 | 18% | 18 Aug → | |
| mirage | 13–11 | -0.04 | 10% | 17 Aug → | |
| nuke | 13–10 | -0.04 | 8% | 17 Aug → | |
| inferno | 9–13 | -0.05 | 19% | 15 Aug → | |
| nuke | 3–13 | -0.14 | 6% | 15 Aug → | |
| ancient | 19–17 | -0.02 | 10% | 15 Aug → | |
| ancient | 13–5 | -0.06 | 13% | 14 Aug → | |
| ancient | 13–7 | -0.06 | 9% | 13 Aug → | |
| mirage | 11–13 | -0.04 | 12% | 13 Aug → | |
| mirage | 13–11 | -0.07 | 21% | 13 Aug → | |
| vertigo | 13–16 | 0.02 | 17% | 12 Aug → | |
| nuke | 10–13 | 0.01 | 14% | 12 Aug → | |
| dust2 | 13–4 | 0.00 | 19% | 12 Aug → | |
| mirage | 13–1 | 0.04 | 14% | 12 Aug → | |
| mirage | 13–9 | 0.01 | 9% | 12 Aug → | |
| dust2 | 7–13 | 0.00 | 30% | 12 Aug → | |
| mirage | 12–12 | -0.01 | 11% | 12 Aug → | |
| anubis | 11–13 | 0.00 | 13% | 12 Aug → | |
| train | 11–13 | -0.00 | 9% | 12 Aug → | |
| mirage | 5–13 | -0.05 | 18% | 12 Aug → | |
| ancient | 13–3 | 0.09 | 6% | 12 Aug → | |
| dust2 | 13–4 | -0.01 | 15% | 12 Aug → | |
| inferno | 6–13 | -0.08 | 19% | 11 Aug → | |
| ancient | 13–11 | -0.01 | 16% | 11 Aug → | |
| mirage | 13–8 | 0.06 | 11% | 11 Aug → | |
| inferno | 8–13 | -0.04 | 19% | 11 Aug → | |
| ancient | 13–10 | -0.03 | 8% | 9 Aug → | |
| mirage | 6–13 | 0.08 | 13% | 9 Aug → | |
| dust2 | 12–12 | -0.01 | 12% | 8 Aug → | |
| mirage | 11–13 | 0.12 | 16% | 5 Aug → | |
| anubis | 8–13 | -0.08 | 11% | 22 Jul → | |
| inferno | 13–6 | -0.03 | 14% | 22 Jul → | |
| dust2 | 12–12 | -0.07 | 7% | 22 Jul → | |
| dust2 | 13–7 | 0.06 | 29% | 19 Jul → | |
| mirage | 13–1 | -0.05 | 12% | 15 Jul → | |
| mirage | 2–13 | -0.08 | 14% | 12 Jul → | |
| cache | 2–13 | 0.05 | 17% | 3 Jul → | |
| mirage | 13–4 | -0.01 | 24% | 24 Jun → | |
| dust2 | 2–8 | -0.13 | 17% | 22 Jun → | |
| mirage | 8–13 | 0.03 | 17% | 18 Jun → | |
| train | 13–3 | -0.01 | 18% | 18 Jun → | |
| mirage | 5–13 | -0.00 | 47% | 10 Jun → | |
| mirage | 13–4 | -0.02 | 16% | 5 Jun → | |
| dust2 | 5–13 | -0.04 | 12% | 4 Jun → | |
| mirage | 8–13 | -0.05 | 24% | 3 Jun → | |
| dust2 | 13–7 | 0.06 | 22% | 3 Jun → | |
| mirage | 3–12 | 0.12 | 24% | 21 May → | |
| mirage | 8–13 | 0.03 | 25% | 20 May → | |
| dust2 | 13–7 | -0.00 | 16% | 6 May → | |
| mirage | 13–10 | -0.02 | 26% | 22 Apr → | |
| nuke | 2–8 | -0.04 | 50% | 21 Apr → | |
| mirage | 8–13 | -0.05 | 22% | 16 Apr → | |
| dust2 | 6–13 | -0.01 | 18% | 15 Apr → | |
| inferno | 16–12 | 0.02 | 17% | 14 Apr → | |
| dust2 | 13–2 | 0.09 | 11% | 14 Apr → | |
| mirage | 1–10 | -0.01 | 12% | 10 Apr → | |
| mirage | 13–3 | 0.03 | 18% | 10 Apr → | |
| mirage | 16–12 | 0.01 | 11% | 26 Mar → | |
| dust2 | 13–8 | -0.02 | 21% | 4 Mar → | |
| nuke | 15–15 | 0.04 | 10% | 4 Mar → | |
| dust2 | 8–2 | 0.10 | 0% | 28 Feb → | |
| mirage | 9–13 | 0.01 | 10% | 24 Feb → |
Match data via Leetify.
