Ehrhon — CS2 Stats
US76561198056712366[U:1:96446638]Steam profile ↗✓ No bans
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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
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 67% playstyle similarity
Most alike: opening-fight frequency, 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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 2.2/10 (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 | 23 | 11–12 | 48% | -0.03 | |
| D | 19 | 4–15 | 21% | -0.02 | |
| S | 13 | 9–4 | 69% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.04 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| golden | — | 2 | 1–1 | 50% | 0.03 |
| palacio | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Inferno 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2 | 50% | 0.58 | 13.5 |
| Mirage | 1 | 0% | 0.79 | 15.0 |
| Vertigo | 1 | 0% | 0.59 | 10.0 |
| Dust2 | 1 | 0% | 0.50 | 9.0 |
| Train | 1 | 0% | 0.72 | 13.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0328° — above the 12° mark we flag
- 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 10.846% — below the 15% 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 0.3656 — 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.
21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 9% | 25 Aug → | ||
| 13–9 | -0.08 | 3% | 25 Aug → | ||
| 7–13 | 0.01 | 6% | 23 Aug → | ||
| 16–12 | -0.03 | 15% | 23 Aug → | ||
| 6–13 | -0.07 | 10% | 21 Aug → | ||
| 13–10 | -0.08 | 5% | 21 Aug → | ||
| 8–13 | -0.06 | 9% | 16 Aug → | ||
| 13–6 | -0.03 | 15% | 15 Aug → | ||
| 8–13 | -0.08 | 8% | 14 Aug → | ||
| 10–13 | -0.03 | 18% | 9 Aug → | ||
| 9–13 | -0.03 | 8% | 25 Jun → | ||
| 14–16 | -0.07 | 18% | 18 Jun → | ||
| 16–14 | -0.01 | 11% | 7 Jun → | ||
| 10–13 | -0.05 | 13% | 4 Jun → | ||
| 11–13 | -0.07 | 9% | 31 May → | ||
| 5–13 | -0.09 | 29% | 31 May → | ||
| 8–13 | -0.07 | 15% | 29 May → | ||
| 11–13 | -0.03 | 13% | 26 May → | ||
| 3–13 | -0.08 | 8% | 2 May → | ||
| 13–6 | -0.03 | 2% | 22 Apr → | ||
| 13–6 | 0.02 | 0% | 11 Apr → | ||
| 7–13 | -0.05 | 7% | 7 Apr → | ||
| 13–10 | 0.03 | 19% | 7 Apr → | ||
| 1–7 | -0.07 | 50% | 5 Apr → | ||
| 0–13 | -0.10 | 4% | 22 Mar → | ||
| 5–13 | -0.09 | 4% | 22 Mar → | ||
| 7–13 | 0.01 | 6% | 10 Mar → | ||
| 13–11 | -0.01 | 13% | 7 Feb → | ||
| 8–13 | -0.04 | 13% | 4 Feb → | ||
| 10–13 | -0.07 | 10% | 27 Jan → | ||
| 13–10 | -0.02 | 6% | 26 Jan → | ||
| 10–13 | -0.07 | 12% | 21 Jan → | ||
| 10–13 | -0.03 | 7% | 21 Jan → | ||
| 13–11 | -0.04 | 19% | 18 Jan → | ||
| 9–13 | -0.07 | 12% | 18 Jan → | ||
| 13–2 | -0.03 | 11% | 18 Jan → | ||
| 13–7 | -0.00 | 8% | 21 Dec → | ||
| 16–14 | -0.04 | 10% | 21 Dec → | ||
| 13–2 | 0.14 | 19% | 20 Dec → | ||
| 13–4 | -0.01 | 3% | 20 Dec → | ||
| 0–13 | -0.09 | 0% | 20 Dec → | ||
| 13–6 | -0.04 | 7% | 17 Nov → | ||
| 11–13 | -0.04 | 9% | 14 Nov → | ||
| 13–7 | -0.01 | 0% | 13 Nov → | ||
| 13–16 | -0.03 | 3% | 9 Nov → | ||
| 16–14 | -0.04 | 9% | 8 Nov → | ||
| 4–13 | -0.03 | 15% | 3 Nov → | ||
| 13–7 | -0.02 | 14% | 3 Nov → | ||
| 11–13 | -0.04 | 12% | 30 Oct → | ||
| 15–15 | -0.04 | 10% | 26 Oct → | ||
| 13–5 | 0.03 | 13% | 24 Oct → | ||
| 13–8 | -0.01 | 6% | 24 Oct → | ||
| 6–13 | -0.03 | 5% | 22 Oct → | ||
| 4–13 | -0.06 | 8% | 22 Oct → | ||
| golden | 7–13 | 0.01 | 6% | 20 Oct → | |
| golden | 10–4 | 0.05 | 7% | 20 Oct → | |
| palacio | 5–13 | -0.01 | 10% | 20 Oct → | |
| 11–13 | -0.02 | 14% | 19 Oct → | ||
| 9–13 | -0.08 | 5% | 9 Oct → | ||
| 6–13 | -0.06 | 8% | 9 Oct → | ||
| 5–13 | -0.12 | 4% | 23 Sept → | ||
| 13–2 | 0.01 | 11% | 12 Sept → | ||
| 13–8 | -0.01 | 3% | 12 Sept → | ||
| 13–9 | 0.02 | 6% | 11 Sept → | ||
| 15–15 | -0.03 | 2% | 11 Sept → | ||
| 10–13 | -0.04 | 13% | 10 Sept → | ||
| 8–13 | -0.03 | 15% | 8 Sept → | ||
| 13–10 | -0.02 | 7% | 8 Sept → | ||
| 10–13 | -0.03 | 7% | 4 Sept → | ||
| 4–13 | -0.04 | 10% | 4 Sept → | ||
| 13–3 | -0.07 | 8% | 3 Sept → | ||
| 6–13 | -0.06 | 6% | 1 Sept → | ||
| 13–11 | -0.02 | 10% | 28 Aug → | ||
| 11–13 | -0.03 | 5% | 27 Aug → | ||
| 15–15 | -0.08 | 8% | 25 Aug → | ||
| 15–15 | -0.06 | 12% | 25 Aug → | ||
| 8–13 | -0.01 | 10% | 24 Aug → | ||
| 13–11 | -0.03 | 9% | 24 Aug → | ||
| 13–7 | -0.05 | 8% | 24 Aug → | ||
| 5–0 | 0.07 | 17% | 24 Aug → | ||
| 13–10 | -0.01 | 8% | 8 Aug → | ||
| 13–11 | -0.05 | 7% | 8 Aug → | ||
| 13–10 | 0.04 | 10% | 27 Jul → | ||
| 13–2 | 0.05 | 9% | 27 Jul → | ||
| 8–13 | -0.04 | 9% | 6 Jul → | ||
| 13–16 | -0.03 | 57% | 4 Jul → | ||
| 13–16 | -0.02 | 8% | 4 Jul → | ||
| 16–13 | 0.02 | 8% | 29 Jun → | ||
| 3–13 | -0.13 | 12% | 29 Jun → | ||
| 3–13 | -0.03 | 15% | 28 Jun → | ||
| 7–0 | 0.03 | 0% | 28 Jun → | ||
| 11–13 | -0.06 | 8% | 28 Jun → | ||
| 4–13 | -0.05 | 9% | 28 Jun → | ||
| 16–14 | 0.01 | 12% | 22 Jun → | ||
| 9–13 | -0.07 | 12% | 22 Jun → | ||
| 15–15 | 0.00 | 4% | 5 Jun → | ||
| 13–7 | -0.03 | 12% | 30 May → | ||
| 13–7 | 0.04 | 10% | 30 May → | ||
| 9–13 | -0.00 | 9% | 29 May → | ||
| 10–13 | 0.02 | 10% | 29 May → |
Match data via Leetify.