okay — CS2 Stats
76561198056441606[U:1:96175878]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 29 Jul 2026. Come back after the next session and the change shows above.
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Rating over time
Premier CS Rating
- At peak — 15,945
- +950 over 30 days · improving
- Next: Pink band at 20,000 — 4,055 to go
- Reached: Purple band · Blue band · Light Blue band
- Blue band first seen 2026-08-31
- Light Blue band first seen 2026-08-31
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: +30pp win rate · −0.00 avg rating · +2.9pp headshot accuracy · +34ms reaction
Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 5–0 · 100% win rate
- Avg rating 0.01
- Avg headshot accuracy 23%
- Avg reaction 591ms
Last 10
- 8–1–1 · 80% win rate
- Avg rating 0.01
- Avg headshot accuracy 23%
- Avg reaction 563ms
Last 20
- 13–5–2 · 65% win rate
- Avg rating 0.01
- Avg headshot accuracy 21%
- Avg reaction 546ms
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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).
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 donk 86% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower opening-duel success; 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
T openings. 71% T opening-duel success — entries that actually open the round.
Areas to improve
Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 6.7/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 cache | A | 15 | 9–6 | 60% | 0.03 |
 inferno | S | 14 | 10–4 | 71% | 0.02 |
 nuke | S | 14 | 11–3 | 79% | 0.03 |
 ancient | A | 14 | 8–6 | 57% | 0.01 |
| office | C | 11 | 4–7 | 36% | 0.05 |
 dust2 | S | 9 | 6–3 | 67% | 0.02 |
 mirage | A | 8 | 5–3 | 63% | 0.01 |
 anubis | B | 6 | 3–3 | 50% | 0.01 |
 train | — | 3 | 2–1 | 67% | 0.01 |
 vertigo | — | 3 | 0–3 | 0% | -0.01 |
| italy | — | 1 | 0–1 | 0% | 0.06 |
 overpass | — | 1 | 0–1 | 0% | 0.12 |
| boulder | — | 1 | 1–0 | 100% | 0.16 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 7 | 57% | 0.91 | 12.7 |
| Inferno | 7 | 57% | 1.75 | 22.6 |
| Mirage | 5 | 80% | 1.24 | 12.8 |
| Nuke | 5 | 40% | 0.81 | 15.6 |
| Ancient | 4 | 75% | 0.94 | 15.8 |
| Cache | 3 | 100% | 2.20 | 27.3 |
| Anubis | 2 | 0% | 0.60 | 11.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–3 | 0.04 | 37% | 20 Sept → | |
| cache | 13–7 | -0.01 | 23% | 20 Sept → | |
| inferno | 16–14 | 0.01 | 14% | 20 Sept → | |
| nuke | 13–9 | 0.01 | 15% | 19 Sept → | |
| dust2 | 13–11 | 0.02 | 24% | 19 Sept → | |
| ancient | 13–7 | -0.02 | 30% | 19 Sept → | |
| nuke | 13–3 | 0.03 | 17% | 19 Sept → | |
| dust2 | 7–13 | 0.01 | 23% | 18 Sept → | |
| cache | 12–12 | 0.05 | 25% | 18 Sept → | |
| train | 13–4 | -0.01 | 21% | 18 Sept → | |
| nuke | 13–10 | -0.06 | 10% | 17 Sept → | |
| inferno | 11–13 | -0.06 | 20% | 17 Sept → | |
| ancient | 13–11 | -0.00 | 15% | 17 Sept → | |
| inferno | 11–13 | 0.04 | 16% | 17 Sept → | |
| cache | 13–9 | 0.07 | 14% | 17 Sept → | |
| office | 4–13 | 0.02 | 29% | 16 Sept → | |
| vertigo | 12–12 | -0.03 | 13% | 16 Sept → | |
| nuke | 5–13 | -0.02 | 38% | 16 Sept → | |
| ancient | 11–4 | 0.05 | 20% | 15 Sept → | |
| nuke | 13–8 | 0.12 | 24% | 15 Sept → | |
| inferno | 13–6 | 0.03 | 10% | 12 Sept → | |
| anubis | 13–11 | 0.13 | 15% | 12 Sept → | |
| inferno | 16–19 | 0.01 | 12% | 10 Sept → | |
| inferno | 13–9 | 0.07 | 7% | 10 Sept → | |
| mirage | 13–11 | -0.03 | 10% | 10 Sept → | |
| ancient | 13–7 | -0.04 | 9% | 10 Sept → | |
| cache | 13–8 | 0.07 | 33% | 10 Sept → | |
| ancient | 13–11 | 0.01 | 14% | 10 Sept → | |
| inferno | 19–17 | 0.03 | 10% | 9 Sept → | |
| dust2 | 5–13 | -0.03 | 28% | 9 Sept → | |
| anubis | 2–13 | -0.10 | 18% | 9 Sept → | |
| mirage | 13–0 | 0.15 | 48% | 9 Sept → | |
| ancient | 4–13 | -0.07 | 20% | 9 Sept → | |
| nuke | 13–10 | -0.01 | 12% | 9 Sept → | |
| mirage | 6–13 | 0.01 | 11% | 8 Sept → | |
| dust2 | 13–7 | 0.05 | 19% | 8 Sept → | |
| inferno | 7–13 | 0.05 | 17% | 8 Sept → | |
| ancient | 10–13 | -0.01 | 13% | 8 Sept → | |
| ancient | 9–13 | -0.02 | 13% | 8 Sept → | |
| nuke | 4–13 | -0.02 | 15% | 8 Sept → | |
| anubis | 13–6 | -0.05 | 16% | 8 Sept → | |
| office | 13–11 | 0.02 | 18% | 8 Sept → | |
| nuke | 13–8 | 0.06 | 18% | 8 Sept → | |
| office | 11–13 | 0.04 | 15% | 8 Sept → | |
| cache | 7–0 | 0.04 | 14% | 8 Sept → | |
| mirage | 13–9 | 0.02 | 16% | 8 Sept → | |
| mirage | 13–4 | 0.01 | 14% | 8 Sept → | |
| ancient | 9–13 | 0.05 | 26% | 8 Sept → | |
| cache | 13–9 | 0.12 | 23% | 7 Sept → | |
| anubis | 13–8 | 0.11 | 15% | 7 Sept → | |
| cache | 5–13 | 0.02 | 16% | 6 Sept → | |
| nuke | 13–0 | 0.08 | 0% | 31 Aug → | |
| cache | 13–7 | 0.07 | 17% | 31 Aug → | |
| nuke | 13–5 | 0.05 | 11% | 31 Aug → | |
| cache | 3–13 | -0.08 | 5% | 31 Aug → | |
| office | 12–12 | 0.09 | 30% | 29 Aug → | |
| anubis | 7–13 | -0.02 | 19% | 29 Aug → | |
| inferno | 13–9 | -0.01 | 13% | 28 Aug → | |
| ancient | 13–16 | 0.01 | 17% | 28 Aug → | |
| ancient | 16–13 | 0.08 | 23% | 28 Aug → | |
| cache | 13–5 | 0.06 | 9% | 25 Aug → | |
| ancient | 13–8 | 0.01 | 11% | 25 Aug → | |
| dust2 | 13–11 | -0.04 | 14% | 25 Aug → | |
| office | 12–12 | 0.05 | 27% | 25 Aug → | |
| inferno | 13–2 | 0.07 | 19% | 25 Aug → | |
| mirage | 13–7 | -0.05 | 23% | 24 Aug → | |
| cache | 13–8 | 0.07 | 20% | 24 Aug → | |
| inferno | 13–9 | 0.06 | 25% | 24 Aug → | |
| cache | 13–5 | 0.08 | 22% | 22 Aug → | |
| office | 9–13 | 0.02 | 22% | 22 Aug → | |
| dust2 | 13–7 | -0.03 | 25% | 20 Aug → | |
| dust2 | 13–3 | 0.03 | 11% | 20 Aug → | |
| train | 13–11 | 0.01 | 15% | 14 Aug → | |
| nuke | 13–5 | -0.07 | 16% | 11 Aug → | |
| office | 10–4 | 0.02 | 25% | 8 Aug → | |
| dust2 | 13–5 | 0.13 | 25% | 8 Aug → | |
| vertigo | 5–13 | -0.05 | 38% | 8 Aug → | |
| ancient | 8–13 | 0.03 | 29% | 8 Aug → | |
| train | 12–12 | 0.03 | 14% | 8 Aug → | |
| nuke | 12–12 | 0.10 | 22% | 5 Aug → | |
| office | 13–9 | 0.01 | 21% | 5 Aug → | |
| dust2 | 5–13 | 0.00 | 14% | 5 Aug → | |
| cache | 5–13 | -0.00 | 15% | 5 Aug → | |
| mirage | 5–13 | -0.02 | 9% | 5 Aug → | |
| cache | 4–13 | -0.09 | 14% | 4 Aug → | |
| office | 13–8 | 0.18 | 30% | 4 Aug → | |
| mirage | 6–13 | 0.00 | 27% | 2 Aug → | |
| inferno | 13–11 | -0.01 | 11% | 2 Aug → | |
| cache | 8–13 | -0.01 | 26% | 2 Aug → | |
| nuke | 13–6 | 0.08 | 24% | 2 Aug → | |
| vertigo | 10–13 | 0.04 | 19% | 2 Aug → | |
| italy | 5–13 | 0.06 | 25% | 2 Aug → | |
| overpass | 9–13 | 0.12 | 17% | 1 Aug → | |
| inferno | 13–9 | -0.01 | 9% | 31 Jul → | |
| boulder | 13–6 | 0.16 | 39% | 30 Jul → | |
| office | 6–13 | 0.08 | 12% | 30 Jul → | |
| office | 5–13 | -0.04 | 23% | 29 Jul → | |
| anubis | 7–13 | -0.02 | 11% | 29 Jul → | |
| nuke | 13–8 | 0.06 | 22% | 29 Jul → | |
| ancient | 13–8 | 0.02 | 14% | 29 Jul → |
Match data via Leetify.
