.... — CS2 Stats
76561198391437814[U:1:431172086]
Rating over time
Faceit ELO
- At peak — 1,864
- Next: Level 10 at 2,001 — 137 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first 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 · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
Areas to improve
Reaction time. 614ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.00 | |
| C | 15 | 6–9 | 40% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 293 | 46% | 0.96 | 15.0 |
| Dust2 | 268 | 49% | 0.94 | 14.4 |
| Inferno | 246 | 54% | 1.11 | 15.7 |
| Anubis | 188 | 48% | 0.98 | 15.1 |
| Ancient | 157 | 46% | 0.91 | 14.7 |
| Nuke | 59 | 54% | 1.05 | 15.5 |
| Vertigo | 56 | 62% | 1.02 | 15.1 |
| Overpass | 53 | 43% | 0.96 | 15.4 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.413 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.6224% — below the 40% mark we flag
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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.00 | 16% | 15 Aug → | ||
| 12–12 | -0.01 | 20% | 15 Aug → | ||
| 7–13 | -0.03 | 17% | 15 Aug → | ||
| 1–7 | 0.08 | 28% | 15 Aug → | ||
| 5–13 | 0.06 | 22% | 14 Aug → | ||
| 10–13 | -0.01 | 11% | 14 Aug → | ||
| 6–13 | -0.04 | 19% | 14 Aug → | ||
| 11–13 | -0.07 | 25% | 12 Aug → | ||
| 13–10 | -0.01 | 11% | 10 Aug → | ||
| 13–9 | 0.00 | 18% | 30 Jun → | ||
| 10–13 | -0.06 | 26% | 26 Jun → | ||
| 5–13 | -0.01 | 31% | 20 Jun → | ||
| 8–13 | -0.09 | 20% | 7 Jun → | ||
| 16–14 | 0.01 | 18% | 6 Jun → | ||
| 13–11 | 0.07 | 24% | 30 May → | ||
| 13–8 | 0.07 | 25% | 30 May → | ||
| 13–6 | -0.05 | 11% | 26 May → | ||
| 13–8 | -0.04 | 15% | 16 May → | ||
| 5–1 | -0.02 | 6% | 12 May → | ||
| 10–13 | -0.02 | 15% | 12 May → | ||
| 8–13 | -0.06 | 15% | 5 May → | ||
| 13–11 | -0.03 | 9% | 3 May → | ||
| 10–13 | -0.03 | 15% | 1 May → | ||
| 10–13 | -0.03 | 19% | 18 Apr → | ||
| 14–16 | -0.01 | 12% | 15 Apr → | ||
| 10–13 | 0.02 | 12% | 12 Apr → | ||
| 9–13 | -0.06 | 12% | 11 Apr → | ||
| 13–7 | -0.02 | 31% | 11 Apr → | ||
| 6–13 | -0.09 | 27% | 23 Mar → | ||
| 10–13 | -0.07 | 23% | 15 Mar → | ||
| 6–13 | 0.07 | 19% | 14 Mar → | ||
| 13–1 | 0.11 | 32% | 14 Mar → | ||
| 13–8 | 0.03 | 20% | 12 Mar → | ||
| 8–13 | -0.06 | 24% | 8 Mar → | ||
| 8–13 | 0.02 | 15% | 8 Mar → | ||
| 13–5 | 0.05 | 13% | 7 Mar → | ||
| 13–11 | -0.07 | 14% | 2 Mar → | ||
| 13–10 | 0.08 | 21% | 22 Feb → | ||
| 2–13 | -0.02 | 19% | 21 Feb → | ||
| 8–13 | -0.04 | 16% | 21 Feb → | ||
| 13–5 | 0.04 | 20% | 13 Feb → | ||
| 13–6 | 0.05 | 20% | 10 Feb → | ||
| 13–6 | 0.05 | 21% | 10 Feb → | ||
| 13–9 | 0.06 | 17% | 6 Feb → | ||
| 14–16 | -0.03 | 18% | 1 Feb → | ||
| 13–5 | 0.05 | 23% | 21 Jan → | ||
| 6–13 | -0.01 | 10% | 21 Jan → | ||
| 12–12 | 0.04 | 16% | 21 Jan → | ||
| 13–4 | 0.06 | 36% | 17 Jan → | ||
| 11–13 | 0.07 | 36% | 17 Jan → | ||
| 3–13 | -0.03 | 21% | 11 Jan → | ||
| 8–13 | -0.01 | 20% | 28 Dec → | ||
| 10–13 | 0.06 | 17% | 28 Dec → | ||
| 16–12 | 0.01 | 24% | 24 Dec → | ||
| 13–7 | 0.02 | 17% | 18 Dec → | ||
| 7–13 | -0.05 | 28% | 7 Dec → | ||
| 8–13 | -0.09 | 11% | 6 Dec → | ||
| 13–10 | -0.00 | 15% | 6 Dec → | ||
| 16–14 | -0.04 | 14% | 5 Dec → | ||
| 6–13 | 0.11 | 18% | 27 Nov → | ||
| 9–13 | -0.04 | 27% | 8 Nov → | ||
| 13–5 | 0.01 | 25% | 7 Nov → | ||
| 13–11 | 0.06 | 21% | 7 Nov → | ||
| 13–8 | 0.02 | 25% | 7 Nov → | ||
| 13–10 | -0.02 | 18% | 7 Nov → | ||
| 16–13 | 0.04 | 20% | 6 Nov → | ||
| 14–16 | -0.03 | 16% | 6 Nov → | ||
| 5–13 | -0.08 | 17% | 6 Nov → | ||
| 4–13 | 0.03 | 17% | 4 Nov → | ||
| 13–1 | -0.02 | 16% | 4 Nov → | ||
| 9–13 | -0.04 | 15% | 4 Nov → | ||
| 13–8 | 0.01 | 24% | 3 Nov → | ||
| 13–8 | 0.02 | 21% | 3 Nov → | ||
| 13–5 | 0.05 | 18% | 3 Nov → | ||
| 13–8 | -0.01 | 13% | 3 Nov → | ||
| 16–13 | 0.02 | 14% | 28 Oct → | ||
| 13–9 | 0.12 | 25% | 11 Oct → | ||
| 13–2 | 0.27 | 30% | 11 Oct → | ||
| 16–13 | 0.07 | 19% | 10 Oct → | ||
| 12–12 | 0.02 | 23% | 7 Oct → | ||
| 13–7 | 0.02 | 18% | 7 Oct → | ||
| 8–13 | 0.03 | 13% | 7 Oct → | ||
| 3–13 | -0.09 | 21% | 2 Oct → | ||
| 16–13 | 0.04 | 17% | 1 Oct → | ||
| 5–13 | 0.06 | 15% | 10 Sept → | ||
| 13–5 | 0.00 | 24% | 10 Sept → | ||
| 21–25 | -0.04 | 17% | 7 Sept → | ||
| 9–13 | -0.06 | 14% | 31 Aug → | ||
| 13–11 | 0.06 | 16% | 29 Aug → | ||
| 17–19 | -0.01 | 8% | 15 Aug → | ||
| 9–13 | 0.03 | 23% | 5 Aug → | ||
| 8–13 | 0.03 | 21% | 2 Aug → | ||
| 13–9 | 0.09 | 7% | 22 Jul → | ||
| 14–16 | -0.05 | 14% | 8 Jul → | ||
| 13–4 | 0.11 | 24% | 5 Jul → | ||
| 3–13 | 0.02 | 24% | 30 Jun → | ||
| 13–11 | 0.01 | 20% | 30 Jun → | ||
| 13–2 | 0.04 | 15% | 30 Jun → | ||
| 13–5 | 0.02 | 23% | 22 Jun → | ||
| 13–7 | 0.06 | 13% | 22 Jun → |
Match data via Leetify.