crush — CS2 Stats
PRORetiredUkraineRiflerSettings & gear profile →
UA76561197997247152[U:1:36981424]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 20 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.
No change since then — still 810 tracked matches. Play, then come back: the next observation lands here.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 29 Jan 2025. Come back after the next session and the change shows above.
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Rating over time
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.4pp headshot accuracy · −195ms reaction
Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 2–2–1 · 40% win rate
- Avg rating 0.05
- Avg headshot accuracy 26%
- Avg reaction 519ms
Last 10
- 4–4–2 · 40% win rate
- Avg rating 0.03
- Avg headshot accuracy 24%
- Avg reaction 527ms
Last 20
- 8–9–3 · 40% win rate
- Avg rating 0.03
- Avg headshot accuracy 24%
- Avg reaction 625ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Effective flashesHigh utility contributionReliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like ZywOo 81% playstyle similarity
Most alike: positioning profile, 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Utility. Utility score of 78 — grenade impact well above the norm.
Areas to improve
Reaction time. 618ms 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 7.5/10 (Strong), 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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | A | 24 | 14–10 | 58% | 0.04 |
 nuke | A | 13 | 8–5 | 62% | 0.01 |
 inferno | A | 11 | 6–5 | 55% | 0.01 |
 ancient | C | 9 | 4–5 | 44% | 0.04 |
 train | S | 9 | 7–2 | 78% | 0.03 |
 mirage | A | 8 | 5–3 | 63% | 0.06 |
 anubis | C | 7 | 3–4 | 43% | 0.05 |
 overpass | S | 6 | 4–2 | 67% | 0.02 |
 cache | C | 5 | 2–3 | 40% | 0.07 |
| grail | — | 3 | 3–0 | 100% | 0.04 |
 vertigo | — | 2 | 1–1 | 50% | 0.10 |
| office | — | 1 | 1–0 | 100% | 0.00 |
| jura | — | 1 | 0–1 | 0% | -0.07 |
| edin | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 39 | 62% | 1.10 | 14.5 |
| Mirage | 32 | 62% | 1.06 | 15.8 |
| Anubis | 31 | 55% | 1.03 | 15.9 |
| Nuke | 14 | 79% | 1.21 | 14.9 |
| Vertigo | 8 | 62% | 0.81 | 11.0 |
| Dust2 | 6 | 50% | 0.96 | 16.3 |
| Overpass | 4 | 25% | 0.91 | 14.8 |
| Inferno | 3 | 0% | 0.55 | 9.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
$1,703
$708
$482
$329
$290
$133Skill 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–4 | 0.07 | 24% | 5 Sept → | |
| cache | 12–12 | 0.07 | 17% | 5 Sept → | |
| vertigo | 8–13 | -0.03 | 10% | 28 Aug → | |
| cache | 13–3 | 0.14 | 26% | 28 Aug → | |
| ancient | 3–13 | -0.02 | 50% | 27 Aug → | |
| inferno | 13–9 | -0.06 | 19% | 26 Aug → | |
| cache | 7–13 | 0.07 | 27% | 26 Aug → | |
| cache | 12–12 | -0.02 | 15% | 25 Aug → | |
| cache | 13–9 | 0.10 | 25% | 8 May → | |
| dust2 | 9–13 | -0.02 | 24% | 8 Apr → | |
| anubis | 9–13 | 0.03 | 30% | 8 Apr → | |
| dust2 | 13–2 | 0.17 | 31% | 8 Apr → | |
| dust2 | 8–13 | 0.06 | 31% | 3 Apr → | |
| nuke | 7–13 | 0.03 | 16% | 3 Apr → | |
| mirage | 11–13 | 0.04 | 22% | 31 Mar → | |
| nuke | 1–13 | -0.01 | 37% | 31 Mar → | |
| office | 13–6 | 0.00 | 18% | 24 Mar → | |
| mirage | 15–15 | -0.01 | 24% | 16 Mar → | |
| overpass | 13–6 | 0.06 | 24% | 14 Mar → | |
| nuke | 13–9 | -0.05 | 19% | 5 Mar → | |
| inferno | 13–5 | -0.03 | 26% | 5 Mar → | |
| dust2 | 1–13 | -0.03 | 36% | 5 Mar → | |
| ancient | 7–2 | 0.13 | 29% | 5 Mar → | |
| anubis | 11–13 | -0.01 | 20% | 2 Mar → | |
| nuke | 13–6 | 0.08 | 31% | 2 Mar → | |
| mirage | 9–13 | 0.07 | 25% | 1 Mar → | |
| dust2 | 13–11 | 0.11 | 22% | 1 Mar → | |
| inferno | 5–13 | -0.03 | 22% | 1 Mar → | |
| dust2 | 13–8 | 0.08 | 29% | 1 Mar → | |
| anubis | 15–15 | 0.13 | 24% | 12 Feb → | |
| ancient | 13–7 | 0.11 | 32% | 2 Feb → | |
| dust2 | 15–15 | 0.02 | 35% | 2 Feb → | |
| ancient | 6–13 | 0.00 | 18% | 2 Feb → | |
| anubis | 13–9 | 0.01 | 23% | 31 Jan → | |
| dust2 | 10–13 | 0.02 | 28% | 28 Jan → | |
| nuke | 13–1 | -0.02 | 29% | 26 Jan → | |
| dust2 | 13–1 | 0.02 | 35% | 26 Jan → | |
| mirage | 13–4 | 0.05 | 34% | 22 Jan → | |
| inferno | 13–8 | 0.09 | 29% | 7 Jan → | |
| nuke | 11–13 | 0.03 | 20% | 7 Jan → | |
| dust2 | 13–2 | 0.16 | 20% | 7 Jan → | |
| dust2 | 1–13 | -0.08 | 0% | 3 Jan → | |
| dust2 | 16–13 | 0.02 | 25% | 3 Jan → | |
| mirage | 13–8 | 0.06 | 19% | 23 Dec → | |
| nuke | 13–9 | -0.02 | 16% | 5 Oct → | |
| inferno | 8–13 | -0.06 | 12% | 5 Oct → | |
| dust2 | 10–13 | -0.02 | 25% | 5 Oct → | |
| overpass | 7–13 | -0.02 | 13% | 4 Oct → | |
| inferno | 3–13 | -0.03 | 21% | 4 Oct → | |
| ancient | 11–13 | -0.03 | 31% | 3 Oct → | |
| nuke | 13–9 | -0.04 | 9% | 3 Oct → | |
| overpass | 13–11 | 0.04 | 43% | 12 Aug → | |
| jura | 8–13 | -0.07 | 21% | 30 Jul → | |
| train | 12–12 | 0.05 | 34% | 29 Jul → | |
| train | 13–5 | 0.09 | 31% | 28 Jul → | |
| mirage | 13–3 | 0.12 | 19% | 23 Jul → | |
| dust2 | 11–13 | 0.01 | 14% | 23 Jul → | |
| overpass | 13–1 | -0.04 | 13% | 22 Jul → | |
| train | 13–11 | -0.03 | 21% | 19 May → | |
| dust2 | 13–9 | -0.03 | 17% | 19 May → | |
| grail | 13–10 | 0.09 | 30% | 14 May → | |
| nuke | 8–13 | -0.02 | 21% | 13 May → | |
| grail | 13–8 | -0.00 | 15% | 8 May → | |
| grail | 13–9 | 0.05 | 25% | 8 May → | |
| inferno | 12–1 | 0.06 | 25% | 19 Apr → | |
| train | 4–13 | -0.06 | 20% | 15 Apr → | |
| train | 13–4 | 0.02 | 38% | 15 Apr → | |
| ancient | 13–2 | 0.07 | 26% | 15 Apr → | |
| dust2 | 13–3 | 0.06 | 18% | 15 Apr → | |
| dust2 | 11–13 | 0.05 | 27% | 14 Apr → | |
| nuke | 13–7 | -0.01 | 35% | 14 Apr → | |
| train | 13–0 | 0.02 | 38% | 14 Apr → | |
| edin | 11–13 | -0.01 | 28% | 11 Apr → | |
| anubis | 13–6 | -0.04 | 20% | 11 Apr → | |
| dust2 | 13–6 | -0.01 | 32% | 11 Apr → | |
| dust2 | 13–6 | 0.03 | 26% | 6 Apr → | |
| train | 13–2 | -0.00 | 22% | 6 Apr → | |
| nuke | 13–9 | 0.06 | 19% | 6 Apr → | |
| anubis | 9–13 | 0.05 | 15% | 6 Apr → | |
| dust2 | 13–4 | 0.02 | 39% | 6 Apr → | |
| nuke | 11–2 | -0.01 | 17% | 6 Apr → | |
| train | 13–8 | -0.03 | 30% | 1 Apr → | |
| dust2 | 13–10 | 0.03 | 23% | 1 Apr → | |
| nuke | 12–12 | 0.08 | 24% | 1 Apr → | |
| inferno | 8–13 | 0.03 | 20% | 9 Feb → | |
| train | 13–8 | 0.17 | 35% | 8 Feb → | |
| overpass | 7–13 | 0.05 | 28% | 8 Feb → | |
| inferno | 13–4 | 0.06 | 29% | 8 Feb → | |
| dust2 | 11–13 | 0.07 | 28% | 6 Feb → | |
| vertigo | 13–7 | 0.24 | 27% | 6 Feb → | |
| ancient | 2–13 | 0.03 | 16% | 6 Feb → | |
| anubis | 13–10 | 0.15 | 31% | 5 Feb → | |
| overpass | 13–7 | 0.03 | 22% | 5 Feb → | |
| mirage | 13–6 | 0.06 | 22% | 4 Feb → | |
| mirage | 9–2 | 0.07 | 20% | 4 Feb → | |
| dust2 | 13–10 | 0.07 | 34% | 3 Feb → | |
| inferno | 11–3 | 0.02 | 23% | 3 Feb → | |
| inferno | 11–13 | 0.11 | 32% | 30 Jan → | |
| ancient | 13–10 | -0.01 | 15% | 29 Jan → | |
| ancient | 7–13 | 0.06 | 23% | 29 Jan → |
Match data via Leetify.
