yb+ — CS2 Stats
DE76561197971062398[U:1:10796670]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 30 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.
No change since then. Play, then come back: the next observation lands here.
Rating over time
Premier CS Rating
- 1,190 below peak (22,402)
- Next: Red band at 25,000 — 3,788 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +56ms reaction
Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 4–1 · 80% win rate
- Avg rating 0.01
- Avg headshot accuracy 21%
- Avg reaction 564ms
Last 10
- 9–1 · 90% win rate
- Avg rating 0.03
- Avg headshot accuracy 22%
- Avg reaction 592ms
Last 20
- 15–5 · 75% win rate
- Avg rating 0.02
- Avg headshot accuracy 23%
- Avg reaction 564ms
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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).
Reliable 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 NiKo 88% playstyle similarity
Most alike: utility contribution, 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
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
CT openings. Opening success drops from 61% on T to 44% on CT — first contacts on the defending side are being lost.
Reaction time. 593ms 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 |
|---|---|---|---|---|---|
 ancient | A | 21 | 12–9 | 57% | 0.00 |
 mirage | S | 16 | 11–5 | 69% | 0.02 |
 dust2 | A | 15 | 9–6 | 60% | -0.01 |
 nuke | B | 13 | 6–7 | 46% | -0.01 |
 anubis | D | 9 | 3–6 | 33% | -0.02 |
 train | C | 7 | 3–4 | 43% | -0.01 |
 inferno | S | 6 | 4–2 | 67% | 0.00 |
| office | — | 3 | 1–2 | 33% | 0.06 |
| mills | — | 3 | 3–0 | 100% | 0.04 |
 vertigo | — | 2 | 1–1 | 50% | 0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.05 |
 cache | — | 1 | 1–0 | 100% | 0.00 |
| dogtown | — | 1 | 0–1 | 0% | 0.04 |
| thera | — | 1 | 1–0 | 100% | 0.05 |
| memento | — | 1 | 0–1 | 0% | -0.19 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 13 | 46% | 0.62 | 10.1 |
| Ancient | 9 | 56% | 0.96 | 12.7 |
| Nuke | 7 | 43% | 0.74 | 10.9 |
| Inferno | 6 | 17% | 0.74 | 13.5 |
| Mirage | 4 | 50% | 0.62 | 9.3 |
| Dust2 | 3 | 0% | 0.37 | 5.7 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | -0.03 | 23% | 30 Oct → | |
| nuke | 13–6 | 0.11 | 23% | 27 Oct → | |
| ancient | 10–2 | 0.01 | 24% | 27 Oct → | |
| dust2 | 9–2 | 0.01 | 17% | 25 Oct → | |
| dust2 | 13–9 | -0.03 | 19% | 21 Oct → | |
| mirage | 13–5 | 0.00 | 9% | 21 Oct → | |
| mirage | 13–6 | 0.14 | 34% | 13 Oct → | |
| shelter | 13–7 | 0.05 | 21% | 9 Oct → | |
| train | 13–11 | 0.02 | 20% | 9 Oct → | |
| anubis | 13–3 | -0.01 | 26% | 9 Oct → | |
| dust2 | 13–3 | 0.02 | 32% | 8 Oct → | |
| mirage | 12–16 | 0.00 | 20% | 8 Oct → | |
| anubis | 0–13 | -0.05 | 0% | 8 Oct → | |
| nuke | 13–9 | -0.01 | 28% | 7 Oct → | |
| mirage | 13–10 | 0.03 | 30% | 7 Oct → | |
| cache | 13–5 | 0.00 | 22% | 1 Oct → | |
| nuke | 5–9 | 0.07 | 27% | 1 Oct → | |
| mirage | 9–13 | -0.07 | 19% | 24 Sept → | |
| inferno | 13–3 | 0.09 | 43% | 24 Sept → | |
| mirage | 13–11 | 0.04 | 24% | 22 Sept → | |
| mirage | 13–7 | 0.08 | 21% | 16 Sept → | |
| anubis | 6–13 | -0.10 | 38% | 16 Sept → | |
| inferno | 11–13 | -0.07 | 23% | 16 Sept → | |
| office | 7–13 | -0.05 | 19% | 16 Sept → | |
| nuke | 13–3 | 0.05 | 20% | 12 Sept → | |
| dogtown | 7–9 | 0.04 | 25% | 11 Sept → | |
| mirage | 11–13 | -0.01 | 11% | 18 Mar → | |
| dust2 | 8–13 | -0.08 | 14% | 18 Mar → | |
| ancient | 13–9 | 0.07 | 19% | 17 Mar → | |
| ancient | 13–6 | 0.17 | 17% | 16 Mar → | |
| ancient | 13–9 | -0.02 | 19% | 16 Mar → | |
| ancient | 13–11 | -0.01 | 12% | 16 Mar → | |
| ancient | 7–13 | -0.09 | 12% | 16 Mar → | |
| ancient | 13–7 | 0.00 | 14% | 16 Mar → | |
| ancient | 13–0 | 0.06 | 19% | 16 Mar → | |
| ancient | 13–4 | 0.00 | 23% | 15 Mar → | |
| ancient | 12–12 | -0.05 | 17% | 15 Mar → | |
| ancient | 13–9 | 0.00 | 13% | 15 Mar → | |
| ancient | 4–13 | -0.00 | 14% | 15 Mar → | |
| ancient | 12–12 | 0.02 | 14% | 15 Mar → | |
| ancient | 8–13 | -0.04 | 13% | 13 Mar → | |
| ancient | 13–9 | 0.04 | 26% | 13 Mar → | |
| dust2 | 13–11 | -0.02 | 15% | 12 Mar → | |
| nuke | 13–6 | -0.07 | 30% | 11 Mar → | |
| anubis | 13–16 | -0.04 | 13% | 10 Mar → | |
| nuke | 8–13 | -0.03 | 26% | 10 Mar → | |
| anubis | 9–13 | -0.00 | 15% | 10 Mar → | |
| mirage | 8–13 | -0.04 | 25% | 5 Mar → | |
| ancient | 16–14 | -0.01 | 15% | 5 Mar → | |
| dust2 | 6–1 | -0.03 | 0% | 4 Mar → | |
| inferno | 13–16 | -0.04 | 23% | 14 Feb → | |
| inferno | 13–9 | 0.03 | 15% | 13 Feb → | |
| nuke | 11–13 | -0.04 | 14% | 11 Feb → | |
| mirage | 13–10 | -0.04 | 20% | 11 Feb → | |
| anubis | 13–8 | 0.04 | 20% | 11 Feb → | |
| dust2 | 13–10 | -0.01 | 21% | 11 Feb → | |
| nuke | 13–7 | -0.02 | 21% | 11 Feb → | |
| mirage | 16–14 | 0.06 | 24% | 10 Feb → | |
| dust2 | 13–10 | -0.00 | 22% | 10 Feb → | |
| dust2 | 7–13 | -0.06 | 24% | 9 Feb → | |
| train | 5–13 | -0.04 | 24% | 9 Feb → | |
| mirage | 13–10 | 0.01 | 36% | 4 Feb → | |
| mirage | 13–8 | 0.11 | 30% | 3 Feb → | |
| dust2 | 11–13 | 0.04 | 17% | 2 Feb → | |
| anubis | 1–13 | -0.03 | 26% | 27 Jan → | |
| dust2 | 7–13 | -0.03 | 27% | 26 Jan → | |
| mirage | 13–6 | -0.02 | 31% | 26 Jan → | |
| dust2 | 15–15 | 0.03 | 22% | 26 Jan → | |
| inferno | 13–7 | 0.01 | 20% | 25 Jan → | |
| dust2 | 12–12 | 0.06 | 22% | 20 Jan → | |
| mirage | 13–4 | 0.02 | 32% | 20 Jan → | |
| train | 4–13 | -0.03 | 21% | 20 Jan → | |
| train | 13–10 | 0.06 | 24% | 20 Jan → | |
| train | 11–13 | 0.00 | 20% | 19 Jan → | |
| dust2 | 13–7 | 0.03 | 16% | 19 Jan → | |
| train | 13–8 | 0.01 | 19% | 19 Jan → | |
| train | 10–13 | -0.07 | 10% | 18 Jan → | |
| mills | 13–9 | 0.00 | 18% | 6 Sept → | |
| ancient | 9–13 | -0.02 | 20% | 2 Sept → | |
| nuke | 9–13 | -0.06 | 16% | 30 Aug → | |
| mills | 13–8 | 0.04 | 27% | 27 Aug → | |
| vertigo | 9–1 | 0.09 | 25% | 22 Aug → | |
| inferno | 13–7 | -0.00 | 11% | 21 Aug → | |
| mirage | 10–13 | -0.00 | 24% | 21 Aug → | |
| thera | 13–4 | 0.05 | 33% | 27 Jun → | |
| mills | 13–7 | 0.07 | 25% | 26 Jun → | |
| memento | 1–9 | -0.19 | 33% | 26 Jun → | |
| office | 13–8 | 0.04 | 34% | 13 Jun → | |
| ancient | 25–21 | -0.04 | 28% | 4 Jun → | |
| office | 10–13 | 0.19 | 34% | 29 May → | |
| dust2 | 13–10 | -0.02 | 26% | 27 May → | |
| vertigo | 5–13 | -0.06 | 29% | 18 Apr → | |
| ancient | 11–13 | 0.00 | 0% | 16 Apr → | |
| anubis | 7–13 | -0.06 | 23% | 14 Apr → | |
| ancient | 5–13 | 0.01 | 14% | 14 Apr → | |
| nuke | 13–10 | 0.00 | 15% | 14 Apr → | |
| nuke | 5–13 | -0.05 | 44% | 12 Apr → | |
| nuke | 9–13 | -0.08 | 16% | 8 Apr → | |
| nuke | 10–13 | -0.04 | 31% | 5 Apr → | |
| anubis | 13–11 | 0.03 | 17% | 5 Apr → |
Match data via Leetify.
Recent teammates
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.