Xepher — CS2 Stats
76561198809283633[U:1:849017905]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
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 57% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 786ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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 2.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 29 | 13–16 | 45% | -0.05 | |
| B | 22 | 10–12 | 45% | -0.03 | |
| B | 15 | 7–8 | 47% | -0.05 | |
| C | 14 | 5–9 | 36% | -0.05 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| B | 6 | 3–3 | 50% | -0.05 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| — | 2 | 1–1 | 50% | -0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.8517% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 785.9624ms — above the 700ms mark we flag
- 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 0.3006 — below the 0.5 mark we flag
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 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.04 | 23% | 1 Aug → | ||
| 13–3 | -0.04 | 6% | 1 Aug → | ||
| 13–11 | -0.04 | 18% | 1 Aug → | ||
| 8–13 | -0.06 | 27% | 15 Jul → | ||
| 13–8 | 0.02 | 11% | 9 Jun → | ||
| 4–13 | -0.08 | 5% | 19 May → | ||
| 13–9 | -0.02 | 9% | 19 May → | ||
| 7–13 | -0.04 | 14% | 14 May → | ||
| 13–4 | -0.04 | 5% | 14 May → | ||
| 13–2 | -0.05 | 33% | 13 May → | ||
| 13–11 | -0.04 | 14% | 13 May → | ||
| 13–9 | -0.06 | 16% | 12 May → | ||
| 13–10 | -0.01 | 6% | 12 May → | ||
| 13–11 | -0.08 | 11% | 12 May → | ||
| 13–8 | -0.01 | 12% | 12 May → | ||
| 4–13 | -0.12 | 14% | 12 May → | ||
| 15–15 | -0.06 | 8% | 11 May → | ||
| 6–13 | -0.09 | 0% | 11 May → | ||
| 12–16 | -0.08 | 8% | 11 May → | ||
| 4–13 | -0.07 | 7% | 10 May → | ||
| 3–13 | -0.04 | 23% | 10 May → | ||
| 11–13 | -0.02 | 22% | 10 May → | ||
| 13–6 | 0.03 | 18% | 10 May → | ||
| 13–6 | 0.03 | 14% | 10 May → | ||
| 5–13 | -0.10 | 10% | 9 May → | ||
| 7–13 | 0.02 | 14% | 6 May → | ||
| 13–6 | -0.11 | 4% | 6 May → | ||
| 12–12 | -0.05 | 8% | 6 May → | ||
| 13–7 | -0.03 | 21% | 5 May → | ||
| 1–13 | -0.09 | 11% | 4 May → | ||
| 13–10 | -0.06 | 11% | 4 May → | ||
| 13–9 | -0.04 | 7% | 2 May → | ||
| 13–2 | 0.06 | 31% | 2 May → | ||
| 15–15 | -0.09 | 9% | 2 May → | ||
| 9–13 | -0.01 | 14% | 2 May → | ||
| 13–2 | -0.00 | 13% | 29 Apr → | ||
| 13–16 | -0.07 | 17% | 29 Apr → | ||
| 13–4 | -0.08 | 3% | 28 Apr → | ||
| 10–13 | -0.03 | 8% | 28 Apr → | ||
| 15–15 | -0.06 | 27% | 28 Apr → | ||
| 13–7 | -0.04 | 6% | 28 Apr → | ||
| 6–13 | -0.05 | 7% | 28 Apr → | ||
| 3–13 | -0.04 | 5% | 28 Apr → | ||
| 6–13 | -0.06 | 26% | 27 Apr → | ||
| 13–5 | -0.06 | 21% | 27 Apr → | ||
| 10–13 | -0.06 | 18% | 27 Apr → | ||
| 8–13 | -0.06 | 22% | 27 Apr → | ||
| 9–13 | -0.05 | 11% | 27 Apr → | ||
| 7–13 | -0.03 | 16% | 27 Apr → | ||
| 11–13 | -0.02 | 8% | 27 Apr → | ||
| 4–13 | -0.08 | 5% | 27 Apr → | ||
| 13–5 | -0.01 | 19% | 27 Apr → | ||
| 4–13 | -0.14 | 8% | 26 Apr → | ||
| 13–5 | -0.07 | 13% | 26 Apr → | ||
| 16–13 | -0.09 | 9% | 26 Apr → | ||
| 11–13 | -0.02 | 15% | 26 Apr → | ||
| 13–9 | -0.04 | 11% | 26 Apr → | ||
| 13–11 | -0.02 | 16% | 24 Apr → | ||
| 10–13 | -0.05 | 21% | 24 Apr → | ||
| 3–13 | -0.09 | 14% | 24 Apr → | ||
| 13–11 | -0.05 | 6% | 23 Apr → | ||
| 13–4 | -0.03 | 21% | 23 Apr → | ||
| 10–13 | -0.03 | 20% | 22 Apr → | ||
| 13–10 | -0.01 | 14% | 22 Apr → | ||
| 13–11 | -0.04 | 13% | 20 Apr → | ||
| 11–13 | -0.00 | 22% | 19 Apr → | ||
| 13–11 | -0.05 | 17% | 19 Apr → | ||
| 11–13 | -0.08 | 18% | 19 Apr → | ||
| 3–13 | -0.08 | 0% | 18 Apr → | ||
| 13–5 | -0.02 | 23% | 18 Apr → | ||
| 11–13 | 0.00 | 15% | 18 Apr → | ||
| 12–16 | -0.06 | 5% | 14 Apr → | ||
| 8–13 | -0.11 | 5% | 14 Apr → | ||
| 7–13 | -0.09 | 15% | 14 Apr → | ||
| 13–3 | 0.02 | 4% | 14 Apr → | ||
| 15–15 | -0.02 | 18% | 12 Apr → | ||
| 13–9 | -0.07 | 17% | 10 Apr → | ||
| 14–16 | -0.02 | 15% | 9 Apr → | ||
| 10–13 | -0.03 | 12% | 9 Apr → | ||
| 5–13 | -0.11 | 28% | 9 Apr → | ||
| 11–13 | -0.05 | 8% | 9 Apr → | ||
| 3–13 | -0.08 | 11% | 9 Apr → | ||
| 13–3 | -0.10 | 27% | 8 Apr → | ||
| 16–13 | -0.07 | 11% | 7 Apr → | ||
| 13–7 | -0.04 | 15% | 7 Apr → | ||
| 16–13 | -0.03 | 22% | 7 Apr → | ||
| 12–16 | -0.01 | 14% | 6 Apr → | ||
| 12–12 | -0.05 | 11% | 6 Apr → | ||
| 7–13 | -0.04 | 23% | 6 Apr → | ||
| 7–13 | -0.06 | 9% | 6 Apr → | ||
| 13–7 | -0.10 | 8% | 5 Apr → | ||
| 13–11 | -0.03 | 9% | 5 Apr → | ||
| 5–13 | -0.09 | 0% | 5 Apr → | ||
| 10–13 | -0.04 | 20% | 5 Apr → | ||
| 13–5 | -0.04 | 6% | 4 Apr → | ||
| 13–6 | -0.04 | 14% | 4 Apr → | ||
| 13–16 | -0.09 | 11% | 3 Apr → | ||
| 13–3 | -0.01 | 17% | 3 Apr → | ||
| 8–13 | -0.02 | 28% | 3 Apr → | ||
| 11–13 | -0.06 | 12% | 3 Apr → |
Match data via Leetify.