坤宁 — CS2 Stats
76561199095861878[U:1:1135596150]1 game ban
Rating over time
Faceit ELO
- At peak — 1,618
- Next: Level 9 at 1,751 — 133 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-28
- Level 7 first seen 2026-08-28
Premier CS Rating
- At peak — 19,331
- Next: Pink band at 20,000 — 669 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 54.5% | 47.2% | 49.0% | above |
| Shot accuracy | 4.4% | 12.3% | 13.1% | 8.7% short |
| Kill/death ratio | 1.70 | 1.07 | 1.08 | above |
| Match win rate | 52.8% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: +40pp win rate · +0.12 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 95% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 8.4/10 (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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | A | 19 | 12–7 | 63% | 0.10 |
 dust2 | S | 18 | 12–6 | 67% | 0.07 |
 inferno | A | 11 | 6–5 | 55% | 0.14 |
 ancient | S | 11 | 9–2 | 82% | 0.10 |
 train | C | 11 | 4–7 | 36% | 0.14 |
 nuke | A | 9 | 5–4 | 56% | 0.08 |
 anubis | A | 7 | 4–3 | 57% | 0.16 |
 overpass | — | 4 | 2–2 | 50% | 0.14 |
 vertigo | — | 3 | 3–0 | 100% | 0.16 |
| jura | — | 3 | 3–0 | 100% | 0.09 |
| office | — | 1 | 1–0 | 100% | -0.01 |
| golden | — | 1 | 0–1 | 0% | 0.04 |
| palacio | — | 1 | 0–1 | 0% | -0.01 |
| italy | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 88 | 49% | 1.31 | 20.2 |
| Dust2 | 76 | 54% | 1.71 | 23.6 |
| Ancient | 40 | 50% | 1.33 | 19.8 |
| Anubis | 38 | 58% | 1.76 | 22.2 |
| Inferno | 34 | 56% | 1.66 | 22.1 |
| Nuke | 16 | 31% | 1.50 | 20.8 |
| Train | 11 | 55% | 1.77 | 24.3 |
| Cache | 3 | 33% | 0.88 | 14.0 |
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.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–5 | 0.22 | 29% | 21 Aug → | |
| dust2 | 13–8 | 0.04 | 24% | 21 Aug → | |
| nuke | 13–5 | 0.10 | 27% | 16 Aug → | |
| dust2 | 13–11 | 0.27 | 31% | 16 Aug → | |
| mirage | 13–3 | 0.21 | 21% | 16 Aug → | |
| ancient | 13–1 | 0.14 | 18% | 16 Aug → | |
| inferno | 16–14 | 0.21 | 24% | 16 Aug → | |
| dust2 | 13–5 | 0.19 | 38% | 16 Aug → | |
| mirage | 13–4 | 0.24 | 34% | 16 Aug → | |
| mirage | 13–4 | 0.21 | 36% | 16 Aug → | |
| mirage | 10–13 | 0.14 | 34% | 15 Aug → | |
| dust2 | 13–11 | 0.11 | 35% | 15 Aug → | |
| nuke | 8–13 | 0.00 | 16% | 15 Aug → | |
| dust2 | 13–6 | 0.03 | 38% | 15 Aug → | |
| inferno | 7–13 | -0.01 | 28% | 15 Aug → | |
| ancient | 13–5 | 0.20 | 40% | 15 Aug → | |
| mirage | 13–11 | 0.04 | 19% | 15 Aug → | |
| mirage | 13–10 | 0.06 | 29% | 15 Aug → | |
| anubis | 13–5 | 0.11 | 28% | 15 Aug → | |
| dust2 | 7–13 | -0.01 | 22% | 13 Aug → | |
| inferno | 8–13 | 0.04 | 32% | 13 Aug → | |
| anubis | 13–3 | 0.37 | 21% | 12 Aug → | |
| dust2 | 12–16 | 0.09 | 35% | 10 Aug → | |
| anubis | 13–11 | 0.16 | 26% | 31 Jan → | |
| dust2 | 13–8 | 0.14 | 37% | 30 Jan → | |
| mirage | 13–3 | 0.17 | 47% | 30 Jan → | |
| dust2 | 7–3 | 0.07 | 31% | 26 Jan → | |
| mirage | 13–9 | 0.07 | 20% | 25 Jan → | |
| mirage | 13–7 | 0.07 | 27% | 25 Jan → | |
| mirage | 13–6 | 0.07 | 23% | 25 Jan → | |
| ancient | 13–10 | 0.10 | 29% | 23 Jan → | |
| vertigo | 13–8 | -0.03 | 15% | 21 Dec → | |
| inferno | 10–13 | 0.16 | 22% | 21 Dec → | |
| dust2 | 3–13 | 0.01 | 27% | 18 Dec → | |
| mirage | 12–12 | 0.09 | 22% | 7 Dec → | |
| inferno | 13–7 | 0.15 | 24% | 6 Dec → | |
| dust2 | 5–13 | -0.02 | 20% | 6 Dec → | |
| office | 13–11 | -0.01 | 19% | 1 Dec → | |
| inferno | 4–13 | 0.05 | 20% | 1 Dec → | |
| mirage | 10–13 | -0.00 | 34% | 22 Nov → | |
| train | 6–13 | 0.17 | 31% | 22 Nov → | |
| anubis | 6–4 | 0.15 | 40% | 6 Nov → | |
| nuke | 13–6 | 0.11 | 39% | 4 Nov → | |
| ancient | 7–12 | -0.07 | 25% | 11 Oct → | |
| nuke | 13–11 | 0.04 | 24% | 8 Oct → | |
| nuke | 13–3 | 0.14 | 25% | 5 Oct → | |
| inferno | 13–0 | 0.30 | 19% | 5 Oct → | |
| mirage | 13–9 | 0.16 | 24% | 3 Oct → | |
| mirage | 6–13 | -0.00 | 34% | 2 Oct → | |
| golden | 5–13 | 0.04 | 31% | 2 Oct → | |
| palacio | 3–13 | -0.01 | 13% | 2 Oct → | |
| mirage | 17–19 | -0.01 | 23% | 1 Oct → | |
| train | 13–5 | 0.12 | 50% | 30 Sept → | |
| mirage | 13–7 | 0.10 | 43% | 30 Sept → | |
| train | 9–13 | 0.17 | 26% | 29 Sept → | |
| anubis | 13–1 | 0.16 | 39% | 29 Sept → | |
| ancient | 13–1 | 0.27 | 19% | 29 Sept → | |
| anubis | 7–13 | 0.01 | 33% | 18 Sept → | |
| ancient | 16–14 | 0.06 | 18% | 17 Sept → | |
| dust2 | 10–13 | 0.08 | 10% | 17 Sept → | |
| ancient | 13–11 | 0.06 | 15% | 17 Sept → | |
| ancient | 14–16 | -0.01 | 30% | 14 Sept → | |
| dust2 | 13–11 | 0.06 | 20% | 14 Sept → | |
| train | 12–12 | -0.00 | 30% | 14 Sept → | |
| mirage | 15–15 | 0.03 | 19% | 14 Sept → | |
| train | 13–7 | 0.20 | 29% | 13 Sept → | |
| train | 12–12 | 0.23 | 23% | 11 Sept → | |
| overpass | 9–13 | 0.11 | 19% | 11 Sept → | |
| anubis | 11–13 | 0.16 | 22% | 11 Sept → | |
| dust2 | 13–3 | 0.05 | 25% | 10 Sept → | |
| overpass | 12–12 | 0.12 | 46% | 8 Sept → | |
| dust2 | 13–10 | 0.08 | 41% | 8 Sept → | |
| inferno | 12–12 | 0.14 | 42% | 2 Sept → | |
| train | 12–12 | 0.14 | 19% | 30 Aug → | |
| train | 9–13 | 0.09 | 48% | 28 Aug → | |
| ancient | 12–2 | 0.00 | 56% | 28 Aug → | |
| nuke | 2–13 | -0.04 | 47% | 27 Aug → | |
| mirage | 10–13 | 0.14 | 22% | 17 Aug → | |
| ancient | 13–6 | 0.27 | 30% | 17 Aug → | |
| dust2 | 13–7 | 0.08 | 34% | 16 Aug → | |
| dust2 | 0–13 | -0.05 | 73% | 15 Aug → | |
| inferno | 13–8 | 0.06 | 22% | 14 Aug → | |
| train | 13–7 | 0.19 | 35% | 10 Aug → | |
| overpass | 13–0 | 0.23 | 23% | 9 Aug → | |
| italy | 13–7 | 0.11 | 26% | 9 Aug → | |
| jura | 13–2 | 0.13 | 47% | 2 Aug → | |
| jura | 4–0 | 0.02 | 40% | 2 Aug → | |
| inferno | 13–9 | 0.22 | 29% | 25 Jul → | |
| overpass | 13–8 | 0.10 | 20% | 19 Jul → | |
| vertigo | 13–8 | 0.19 | 25% | 12 Jul → | |
| dust2 | 13–8 | 0.08 | 44% | 8 Jul → | |
| mirage | 13–11 | 0.19 | 38% | 8 Jul → | |
| vertigo | 9–3 | 0.30 | 30% | 26 Jun → | |
| nuke | 13–9 | 0.18 | 44% | 23 Jun → | |
| train | 11–13 | 0.03 | 36% | 14 Jun → | |
| nuke | 6–13 | 0.04 | 37% | 13 Jun → | |
| jura | 13–10 | 0.12 | 37% | 4 Jun → | |
| train | 13–6 | 0.17 | 33% | 29 May → | |
| nuke | 12–12 | 0.19 | 41% | 17 May → | |
| ancient | 13–4 | 0.01 | 18% | 10 May → |
Match data via Leetify.
