ShaneyD — CS2 Stats
76561198877154925[U:1:916889197]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 80% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 62% 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 3.7/10 (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 |
|---|---|---|---|---|---|
| A | 23 | 14–9 | 61% | 0.02 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| S | 6 | 5–1 | 83% | 0.10 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| — | 4 | 0–4 | 0% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| edin | — | 2 | 0–2 | 0% | 0.01 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 11 | 55% | 0.98 | 13.0 |
| Ancient | 9 | 33% | 0.78 | 10.8 |
| Nuke | 8 | 62% | 1.13 | 17.6 |
| Anubis | 2 | 0% | 0.70 | 10.5 |
| Mirage | 2 | 100% | 1.48 | 19.0 |
| Cache | 1 | 100% | 1.80 | 18.0 |
| Train | 1 | 0% | 1.00 | 16.0 |
| Dust2 | 1 | 0% | 0.47 | 7.0 |
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 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 30.5868% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.03 | 14% | 16 Aug → | ||
| 13–2 | 0.04 | 15% | 16 Aug → | ||
| 8–13 | -0.03 | 38% | 26 Jul → | ||
| 9–13 | -0.08 | 20% | 19 Jul → | ||
| 13–10 | -0.03 | 14% | 19 Jul → | ||
| 13–7 | 0.01 | 7% | 19 Jul → | ||
| 6–13 | -0.09 | 22% | 19 Jul → | ||
| 13–7 | 0.03 | 24% | 29 Jun → | ||
| 6–13 | -0.01 | 23% | 29 Jun → | ||
| 6–13 | -0.04 | 19% | 21 Jun → | ||
| 13–9 | 0.01 | 26% | 21 Jun → | ||
| 13–4 | -0.04 | 10% | 31 May → | ||
| 5–13 | -0.07 | 22% | 31 May → | ||
| 14–16 | -0.03 | 6% | 31 May → | ||
| 7–13 | 0.00 | 18% | 31 May → | ||
| 11–13 | -0.02 | 22% | 31 May → | ||
| 13–9 | 0.00 | 25% | 31 May → | ||
| 13–11 | -0.09 | 4% | 21 Feb → | ||
| 13–9 | -0.03 | 31% | 15 Feb → | ||
| 13–2 | -0.07 | 26% | 15 Feb → | ||
| 7–13 | -0.04 | 29% | 15 Feb → | ||
| 13–2 | -0.01 | 22% | 15 Feb → | ||
| 11–13 | -0.03 | 21% | 15 Feb → | ||
| 11–13 | -0.02 | 20% | 15 Feb → | ||
| 13–9 | 0.05 | 19% | 14 Feb → | ||
| 6–13 | 0.06 | 24% | 23 Nov → | ||
| 13–8 | -0.02 | 20% | 23 Nov → | ||
| 5–13 | 0.03 | 29% | 23 Nov → | ||
| 8–13 | -0.03 | 30% | 23 Nov → | ||
| 16–13 | -0.04 | 25% | 19 Oct → | ||
| 4–13 | -0.05 | 30% | 19 Oct → | ||
| 13–7 | 0.11 | 31% | 19 Oct → | ||
| 13–2 | 0.05 | 19% | 27 Jul → | ||
| 4–13 | -0.05 | 35% | 27 Jul → | ||
| 12–12 | 0.07 | 25% | 20 Jul → | ||
| 12–12 | -0.02 | 13% | 12 Jul → | ||
| 13–10 | 0.09 | 31% | 10 Jul → | ||
| 13–5 | -0.02 | 14% | 10 Jul → | ||
| 8–13 | 0.03 | 18% | 17 Feb → | ||
| 8–8 | 0.03 | 23% | 17 Feb → | ||
| 7–13 | 0.01 | 24% | 5 Jan → | ||
| edin | 9–13 | -0.01 | 20% | 24 Dec → | |
| 9–2 | 0.33 | 20% | 25 Nov → | ||
| edin | 4–13 | 0.02 | 23% | 24 Nov → | |
| 11–13 | 0.04 | 28% | 23 Nov → | ||
| 4–13 | -0.05 | 21% | 20 Jul → | ||
| 13–5 | 0.03 | 20% | 20 Jul → | ||
| 8–13 | 0.01 | 26% | 20 Jul → | ||
| 8–13 | -0.04 | 16% | 20 Jul → | ||
| 13–7 | 0.04 | 10% | 20 Jul → | ||
| 7–13 | -0.10 | 6% | 20 Jul → | ||
| 13–4 | 0.11 | 15% | 24 Jun → | ||
| 9–13 | 0.05 | 25% | 26 May → | ||
| 13–9 | 0.08 | 13% | 13 May → | ||
| 6–13 | -0.03 | 21% | 10 Mar → | ||
| 13–10 | 0.04 | 7% | 27 Feb → | ||
| 13–1 | 0.06 | 18% | 27 Feb → | ||
| 13–5 | 0.01 | 7% | 19 Feb → | ||
| 10–13 | -0.02 | 12% | 19 Feb → | ||
| 12–12 | 0.01 | 17% | 19 Feb → | ||
| 13–10 | -0.07 | 0% | 18 Feb → | ||
| 13–5 | -0.01 | 32% | 18 Feb → | ||
| 13–6 | 0.00 | 12% | 18 Feb → | ||
| 13–10 | 0.06 | 15% | 18 Feb → | ||
| 9–13 | -0.08 | 13% | 18 Feb → | ||
| 11–13 | -0.03 | 27% | 18 Feb → | ||
| 13–7 | 0.06 | 26% | 10 Feb → | ||
| 13–11 | 0.10 | 20% | 10 Feb → | ||
| 1–7 | -0.09 | 8% | 10 Feb → | ||
| 12–12 | 0.05 | 16% | 8 Feb → | ||
| 10–7 | 0.03 | 19% | 8 Feb → | ||
| 13–8 | 0.02 | 21% | 7 Feb → | ||
| 13–3 | 0.12 | 12% | 28 Jan → | ||
| 13–8 | 0.05 | 14% | 22 Jan → | ||
| 5–13 | 0.02 | 39% | 22 Jan → | ||
| 13–11 | -0.03 | 18% | 22 Jan → | ||
| 8–13 | -0.08 | 17% | 22 Jan → | ||
| 3–13 | -0.03 | 40% | 21 Jan → | ||
| 11–13 | -0.05 | 12% | 15 Jan → | ||
| 12–12 | -0.02 | 19% | 15 Jan → | ||
| 5–3 | 0.03 | 17% | 15 Jan → | ||
| 13–10 | 0.04 | 21% | 15 Jan → | ||
| 5–13 | -0.03 | 31% | 14 Jan → | ||
| 13–7 | 0.02 | 21% | 14 Jan → | ||
| 13–3 | 0.06 | 18% | 14 Jan → | ||
| 12–12 | 0.07 | 13% | 13 Jan → | ||
| 9–13 | 0.14 | 22% | 8 Jan → | ||
| 2–13 | -0.02 | 21% | 8 Jan → | ||
| 13–2 | 0.15 | 18% | 8 Jan → | ||
| 12–12 | 0.11 | 30% | 8 Jan → | ||
| 13–11 | 0.08 | 21% | 6 Jan → | ||
| 1–8 | -0.08 | 14% | 6 Jan → | ||
| 13–6 | 0.07 | 17% | 1 Jan → | ||
| 6–13 | -0.04 | 24% | 24 Dec → | ||
| 13–4 | 0.04 | 22% | 24 Dec → | ||
| 13–10 | 0.06 | 12% | 18 Dec → | ||
| 12–12 | 0.08 | 26% | 18 Dec → | ||
| 16–14 | 0.03 | 14% | 17 Dec → | ||
| 13–10 | 0.03 | 30% | 17 Dec → | ||
| 13–6 | 0.08 | 32% | 11 Dec → |
Match data via Leetify.
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