SMEAGOLL_MHY69 SKINS — CS2 Stats
RO76561199819623658[U:1:1859357930]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 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 70% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% 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 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 29 | 12–17 | 41% | -0.04 | |
| B | 19 | 9–10 | 47% | -0.02 | |
| D | 15 | 5–10 | 33% | -0.03 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| S | 8 | 6–2 | 75% | -0.02 | |
| D | 8 | 1–7 | 13% | -0.09 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| office | — | 2 | 1–1 | 50% | -0.03 |
| — | 1 | 0–1 | 0% | 0.02 | |
| alpine | — | 1 | 0–1 | 0% | -0.01 |
| — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 40% | 0.64 | 10.9 |
| Dust2 | 29 | 45% | 0.78 | 12.1 |
| Ancient | 9 | 56% | 0.71 | 11.2 |
| Nuke | 8 | 50% | 0.54 | 9.0 |
| Inferno | 5 | 60% | 1.05 | 15.4 |
| Anubis | 3 | 67% | 0.89 | 15.0 |
| Overpass | 1 | 0% | 0.77 | 20.0 |
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 12.0668° — 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 10.8994% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.01 | 6% | 27 Aug → | ||
| 13–3 | -0.07 | 6% | 19 Aug → | ||
| 12–12 | 0.02 | 7% | 18 Aug → | ||
| 13–10 | 0.08 | 18% | 10 Jul → | ||
| 3–6 | -0.04 | 0% | 25 Jun → | ||
| 2–9 | 0.00 | 0% | 29 May → | ||
| 13–8 | -0.03 | 13% | 28 May → | ||
| 13–7 | -0.00 | 6% | 28 May → | ||
| 13–10 | -0.03 | 9% | 8 May → | ||
| 12–3 | -0.02 | 15% | 8 May → | ||
| 13–10 | -0.01 | 11% | 19 Apr → | ||
| 8–13 | 0.01 | 15% | 3 Apr → | ||
| 13–7 | -0.03 | 15% | 2 Apr → | ||
| 13–3 | 0.02 | 8% | 1 Apr → | ||
| 5–13 | -0.06 | 6% | 1 Apr → | ||
| 13–10 | -0.01 | 9% | 1 Apr → | ||
| 13–2 | -0.12 | 13% | 28 Mar → | ||
| 9–13 | -0.09 | 8% | 28 Mar → | ||
| 13–11 | -0.04 | 11% | 28 Mar → | ||
| 8–13 | -0.09 | 21% | 21 Feb → | ||
| 13–5 | 0.05 | 7% | 21 Feb → | ||
| 0–13 | -0.08 | 18% | 21 Feb → | ||
| 13–2 | 0.14 | 11% | 21 Feb → | ||
| 13–9 | -0.06 | 17% | 11 Feb → | ||
| 12–12 | 0.08 | 7% | 11 Feb → | ||
| 10–13 | -0.03 | 8% | 11 Feb → | ||
| 8–8 | -0.03 | 15% | 7 Feb → | ||
| 3–13 | -0.07 | 11% | 7 Feb → | ||
| 3–11 | -0.02 | 7% | 7 Feb → | ||
| 13–5 | -0.01 | 16% | 7 Feb → | ||
| 13–0 | -0.06 | 22% | 6 Feb → | ||
| 7–13 | -0.05 | 7% | 3 Feb → | ||
| 12–16 | -0.07 | 9% | 1 Feb → | ||
| 3–13 | -0.03 | 10% | 31 Jan → | ||
| 5–13 | -0.14 | 0% | 28 Jan → | ||
| 1–9 | 0.01 | 6% | 27 Jan → | ||
| 9–13 | -0.10 | 20% | 26 Jan → | ||
| 13–16 | -0.04 | 22% | 25 Jan → | ||
| 13–5 | -0.07 | 17% | 25 Jan → | ||
| 13–4 | -0.01 | 8% | 25 Jan → | ||
| 13–3 | 0.03 | 21% | 25 Jan → | ||
| 13–6 | -0.07 | 12% | 25 Jan → | ||
| 6–13 | -0.03 | 8% | 25 Jan → | ||
| 13–10 | 0.03 | 14% | 24 Jan → | ||
| 10–13 | 0.01 | 13% | 24 Jan → | ||
| 13–1 | 0.07 | 17% | 24 Jan → | ||
| 15–15 | 0.01 | 7% | 23 Jan → | ||
| 7–13 | -0.10 | 9% | 22 Jan → | ||
| 9–13 | -0.05 | 9% | 22 Jan → | ||
| 13–6 | -0.00 | 10% | 22 Jan → | ||
| 7–13 | -0.04 | 13% | 22 Jan → | ||
| alpine | 4–13 | -0.01 | 23% | 22 Jan → | |
| office | 13–5 | -0.04 | 17% | 21 Jan → | |
| office | 6–13 | -0.03 | 14% | 21 Jan → | |
| 8–13 | -0.06 | 19% | 21 Jan → | ||
| 13–6 | -0.04 | 23% | 20 Jan → | ||
| 9–13 | -0.02 | 26% | 20 Jan → | ||
| 7–9 | -0.04 | 16% | 18 Jan → | ||
| 13–8 | 0.01 | 11% | 18 Jan → | ||
| 2–13 | -0.03 | 27% | 18 Jan → | ||
| 13–9 | -0.01 | 8% | 17 Jan → | ||
| 10–13 | -0.12 | 3% | 17 Jan → | ||
| 14–16 | -0.07 | 19% | 17 Jan → | ||
| 4–13 | -0.13 | 10% | 17 Jan → | ||
| 3–13 | -0.08 | 14% | 16 Jan → | ||
| 0–13 | -0.04 | 12% | 16 Jan → | ||
| 3–13 | -0.10 | 11% | 9 Jan → | ||
| 13–10 | 0.00 | 22% | 8 Jan → | ||
| 13–6 | -0.02 | 22% | 8 Jan → | ||
| 9–13 | -0.11 | 9% | 8 Jan → | ||
| 9–13 | 0.01 | 12% | 7 Jan → | ||
| 8–8 | -0.02 | 21% | 3 Jan → | ||
| 4–9 | -0.09 | 31% | 3 Jan → | ||
| 7–9 | -0.19 | 7% | 3 Jan → | ||
| 8–8 | -0.16 | 14% | 3 Jan → | ||
| 9–3 | 0.08 | 9% | 3 Jan → | ||
| 1–13 | -0.10 | 6% | 2 Jan → | ||
| 12–16 | -0.06 | 6% | 24 Dec → | ||
| 7–13 | -0.02 | 10% | 24 Dec → | ||
| 7–13 | -0.11 | 4% | 24 Dec → | ||
| 8–8 | -0.01 | 21% | 24 Dec → | ||
| 13–4 | -0.05 | 13% | 23 Dec → | ||
| 3–13 | -0.04 | 10% | 23 Dec → | ||
| 13–8 | -0.02 | 18% | 22 Dec → | ||
| 8–8 | -0.03 | 16% | 22 Dec → | ||
| 16–12 | -0.00 | 18% | 22 Dec → | ||
| 13–10 | 0.03 | 40% | 22 Dec → | ||
| 9–0 | 0.26 | 24% | 21 Dec → | ||
| 9–3 | -0.15 | 6% | 21 Dec → | ||
| 9–4 | 0.05 | 6% | 21 Dec → | ||
| 13–5 | 0.03 | 18% | 21 Dec → | ||
| 13–6 | 0.03 | 15% | 21 Dec → | ||
| 13–6 | 0.06 | 13% | 21 Dec → | ||
| 13–10 | -0.07 | 3% | 20 Dec → | ||
| 11–13 | -0.03 | 18% | 20 Dec → | ||
| 9–13 | -0.01 | 14% | 20 Dec → | ||
| 7–13 | -0.12 | 0% | 20 Dec → | ||
| 0–7 | -0.11 | 0% | 20 Dec → | ||
| 11–13 | 0.02 | 10% | 20 Dec → | ||
| 5–9 | -0.08 | 27% | 19 Dec → |
Match data via Leetify.