kUtA — CS2 Stats
FR76561197960374855[U:1:109127]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 24 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. 69 days played since 27 Oct 2025. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 2,851
- 0 over 30 days · steady
- Next: 3,000 ELO at 3,000 — 149 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-30
- Level 10 first seen 2026-08-30
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −30pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −61ms reaction
Win rate down 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 (+0.04), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.04
- Avg headshot accuracy 25%
- Avg reaction 431ms
Last 10
- 4–6 · 40% win rate
- Avg rating 0.03
- Avg headshot accuracy 28%
- Avg reaction 538ms
Last 20
- 11–9 · 55% win rate
- Avg rating 0.01
- Avg headshot accuracy 27%
- Avg reaction 569ms
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 (+1.2 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 jL 94% playstyle similarity
Most alike: utility contribution, positioning 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. 607ms 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 7.0/10 (Strong), 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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | S | 40 | 26–14 | 65% | 0.04 |
 inferno | A | 17 | 10–7 | 59% | 0.01 |
 anubis | A | 16 | 10–6 | 63% | 0.02 |
 nuke | S | 8 | 6–2 | 75% | -0.01 |
 ancient | A | 5 | 3–2 | 60% | 0.03 |
 mirage | S | 5 | 4–1 | 80% | 0.04 |
 train | — | 4 | 4–0 | 100% | 0.07 |
 cache | — | 2 | 1–1 | 50% | 0.07 |
 overpass | — | 1 | 1–0 | 100% | 0.05 |
 vertigo | — | 1 | 1–0 | 100% | 0.00 |
| office | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (59% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 627 | 62% | 1.26 | 17.2 |
| Anubis | 437 | 62% | 1.28 | 17.6 |
| Inferno | 329 | 57% | 1.28 | 18.3 |
| Nuke | 318 | 55% | 1.21 | 17.3 |
| Mirage | 58 | 34% | 1.21 | 18.1 |
| Overpass | 48 | 44% | 1.20 | 17.9 |
| Ancient | 38 | 45% | 1.25 | 18.5 |
| Train | 36 | 50% | 1.16 | 16.8 |
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 | |
|---|---|---|---|---|---|
| dust2 | 13–7 | 0.10 | 18% | 21 Sept → | |
| dust2 | 13–6 | 0.04 | 43% | 6 Sept → | |
| anubis | 5–13 | -0.01 | 26% | 4 Sept → | |
| anubis | 13–10 | 0.06 | 37% | 31 Aug → | |
| inferno | 1–6 | 0.00 | 0% | 5 Aug → | |
| dust2 | 8–13 | -0.04 | 39% | 31 Jul → | |
| dust2 | 11–13 | 0.01 | 38% | 27 Jul → | |
| dust2 | 10–13 | 0.08 | 29% | 25 Jul → | |
| cache | 13–9 | 0.07 | 35% | 20 Jul → | |
| dust2 | 9–13 | -0.02 | 12% | 20 Jul → | |
| anubis | 10–13 | -0.01 | 33% | 18 Jul → | |
| nuke | 13–11 | 0.01 | 20% | 14 Jul → | |
| anubis | 13–6 | 0.02 | 22% | 28 Jun → | |
| dust2 | 13–9 | -0.06 | 23% | 28 Jun → | |
| nuke | 7–13 | -0.05 | 26% | 22 Jun → | |
| inferno | 13–8 | 0.02 | 19% | 20 Jun → | |
| inferno | 10–13 | 0.00 | 31% | 20 Jun → | |
| inferno | 13–7 | -0.02 | 41% | 18 Jun → | |
| anubis | 13–6 | -0.00 | 20% | 18 Jun → | |
| anubis | 16–14 | -0.03 | 21% | 17 Jun → | |
| inferno | 4–13 | -0.09 | 44% | 13 Jun → | |
| dust2 | 19–15 | -0.00 | 22% | 12 Jun → | |
| ancient | 8–0 | 0.00 | 100% | 5 Jun → | |
| inferno | 13–10 | -0.02 | 25% | 5 Jun → | |
| dust2 | 13–1 | 0.14 | 37% | 1 Jun → | |
| inferno | 13–7 | 0.02 | 23% | 25 May → | |
| anubis | 3–13 | -0.09 | 44% | 24 May → | |
| dust2 | 8–0 | 0.34 | 41% | 15 May → | |
| dust2 | 5–13 | 0.07 | 26% | 15 May → | |
| mirage | 13–1 | 0.06 | 36% | 14 May → | |
| dust2 | 6–13 | 0.00 | 21% | 8 May → | |
| nuke | 13–11 | -0.03 | 32% | 8 May → | |
| cache | 8–13 | 0.08 | 23% | 8 May → | |
| anubis | 2–13 | -0.05 | 17% | 7 May → | |
| inferno | 13–6 | 0.07 | 23% | 26 Apr → | |
| dust2 | 13–2 | 0.10 | 31% | 26 Apr → | |
| dust2 | 13–3 | -0.03 | 18% | 22 Apr → | |
| dust2 | 13–10 | 0.06 | 17% | 19 Apr → | |
| dust2 | 16–12 | -0.01 | 27% | 18 Apr → | |
| dust2 | 13–3 | 0.01 | 36% | 18 Apr → | |
| ancient | 13–1 | -0.01 | 33% | 18 Apr → | |
| dust2 | 13–6 | 0.04 | 21% | 13 Apr → | |
| dust2 | 13–10 | 0.00 | 20% | 10 Apr → | |
| dust2 | 13–6 | 0.09 | 38% | 10 Apr → | |
| anubis | 13–8 | 0.04 | 20% | 10 Apr → | |
| inferno | 13–6 | -0.05 | 13% | 9 Apr → | |
| dust2 | 13–10 | 0.06 | 27% | 4 Apr → | |
| nuke | 13–4 | -0.04 | 10% | 3 Apr → | |
| dust2 | 13–2 | 0.00 | 27% | 3 Apr → | |
| dust2 | 5–13 | -0.06 | 80% | 3 Apr → | |
| ancient | 13–8 | 0.06 | 16% | 3 Apr → | |
| inferno | 13–7 | 0.08 | 27% | 3 Apr → | |
| anubis | 13–5 | 0.08 | 35% | 2 Apr → | |
| anubis | 13–6 | 0.06 | 33% | 1 Apr → | |
| dust2 | 11–13 | -0.03 | 14% | 31 Mar → | |
| mirage | 13–5 | 0.09 | 17% | 26 Mar → | |
| dust2 | 13–8 | 0.08 | 24% | 26 Mar → | |
| inferno | 13–4 | 0.12 | 22% | 26 Mar → | |
| dust2 | 12–12 | 0.04 | 18% | 26 Mar → | |
| dust2 | 9–13 | 0.04 | 38% | 22 Mar → | |
| mirage | 13–9 | 0.01 | 21% | 20 Mar → | |
| anubis | 16–13 | 0.05 | 32% | 13 Mar → | |
| ancient | 15–15 | 0.05 | 25% | 13 Mar → | |
| mirage | 13–9 | 0.04 | 36% | 12 Mar → | |
| dust2 | 0–13 | -0.04 | 29% | 28 Feb → | |
| anubis | 11–13 | 0.05 | 31% | 28 Feb → | |
| dust2 | 16–13 | 0.00 | 22% | 25 Feb → | |
| anubis | 13–10 | 0.05 | 40% | 23 Feb → | |
| dust2 | 16–12 | 0.06 | 15% | 19 Jan → | |
| inferno | 13–16 | 0.00 | 23% | 19 Jan → | |
| anubis | 15–19 | -0.01 | 40% | 16 Jan → | |
| dust2 | 13–8 | 0.00 | 20% | 11 Jan → | |
| ancient | 9–13 | 0.04 | 35% | 9 Jan → | |
| mirage | 0–7 | 0.02 | 80% | 9 Jan → | |
| overpass | 13–11 | 0.05 | 19% | 9 Jan → | |
| nuke | 13–9 | 0.01 | 31% | 8 Jan → | |
| dust2 | 7–13 | 0.08 | 17% | 8 Jan → | |
| dust2 | 3–13 | 0.02 | 29% | 7 Jan → | |
| dust2 | 13–10 | 0.08 | 50% | 7 Jan → | |
| train | 13–5 | -0.02 | 27% | 6 Jan → | |
| dust2 | 13–11 | 0.03 | 21% | 1 Jan → | |
| train | 13–3 | 0.13 | 26% | 1 Jan → | |
| train | 13–6 | 0.08 | 44% | 1 Jan → | |
| vertigo | 13–2 | 0.00 | 31% | 19 Dec → | |
| anubis | 13–11 | 0.10 | 22% | 16 Dec → | |
| inferno | 13–11 | 0.04 | 35% | 14 Dec → | |
| dust2 | 12–12 | 0.03 | 32% | 8 Dec → | |
| dust2 | 13–6 | 0.03 | 32% | 8 Dec → | |
| dust2 | 13–6 | 0.12 | 31% | 6 Dec → | |
| nuke | 13–7 | 0.09 | 21% | 2 Dec → | |
| dust2 | 13–10 | -0.02 | 26% | 2 Dec → | |
| office | 13–8 | 0.05 | 24% | 30 Nov → | |
| nuke | 13–5 | 0.00 | 31% | 23 Nov → | |
| inferno | 14–16 | 0.01 | 26% | 22 Nov → | |
| dust2 | 13–7 | 0.01 | 42% | 14 Nov → | |
| nuke | 7–13 | -0.04 | 28% | 10 Nov → | |
| inferno | 6–13 | -0.07 | 33% | 8 Nov → | |
| train | 13–10 | 0.09 | 27% | 4 Nov → | |
| inferno | 10–13 | -0.03 | 13% | 28 Oct → | |
| inferno | 13–11 | 0.06 | 27% | 27 Oct → |
Match data via Leetify.
