Sneddz_^ — CS2 Stats
AU76561197980399917[U:1:20134189]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 iM 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success.
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. 578ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 24 | 8–16 | 33% | -0.01 | |
| B | 20 | 10–10 | 50% | -0.01 | |
| S | 20 | 13–7 | 65% | -0.00 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| S | 7 | 6–1 | 86% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 0.80 | 11.3 |
| Inferno | 2 | 50% | 0.68 | 14.0 |
| Nuke | 1 | 0% | 0.47 | 9.0 |
| Vertigo | 1 | 0% | 0.75 | 15.0 |
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.
- 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 12.6135% — below the 15% mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.6754% — 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.
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 | |
|---|---|---|---|---|---|
| 13–8 | 0.04 | 13% | 28 Aug → | ||
| 13–5 | -0.04 | 10% | 28 Aug → | ||
| 6–13 | -0.06 | 2% | 28 Aug → | ||
| 4–13 | -0.05 | 21% | 28 Aug → | ||
| 1–9 | -0.07 | 9% | 28 Aug → | ||
| 13–4 | 0.09 | 27% | 28 Aug → | ||
| 8–13 | -0.00 | 11% | 28 Aug → | ||
| 11–13 | -0.02 | 6% | 27 Aug → | ||
| 7–13 | -0.10 | 8% | 27 Aug → | ||
| 13–7 | -0.04 | 11% | 27 Aug → | ||
| 2–13 | -0.02 | 13% | 26 Aug → | ||
| 13–7 | 0.01 | 17% | 26 Aug → | ||
| 11–13 | 0.02 | 13% | 26 Aug → | ||
| 10–13 | -0.03 | 10% | 26 Aug → | ||
| 13–2 | 0.04 | 12% | 26 Aug → | ||
| 13–11 | -0.04 | 10% | 25 Aug → | ||
| 3–13 | -0.03 | 14% | 25 Aug → | ||
| 14–16 | 0.04 | 13% | 25 Aug → | ||
| 13–8 | -0.01 | 18% | 25 Aug → | ||
| 13–10 | 0.02 | 10% | 25 Aug → | ||
| 10–13 | -0.02 | 17% | 24 Aug → | ||
| 13–4 | 0.06 | 13% | 24 Aug → | ||
| 14–16 | 0.05 | 12% | 24 Aug → | ||
| 14–16 | -0.04 | 13% | 21 Aug → | ||
| 13–7 | 0.02 | 9% | 21 Aug → | ||
| 8–13 | -0.04 | 15% | 21 Aug → | ||
| 13–10 | 0.03 | 19% | 21 Aug → | ||
| 13–6 | 0.05 | 8% | 21 Aug → | ||
| 4–13 | -0.08 | 14% | 20 Aug → | ||
| 7–13 | -0.03 | 13% | 20 Aug → | ||
| 3–13 | -0.09 | 11% | 20 Aug → | ||
| 9–13 | -0.04 | 10% | 20 Aug → | ||
| 13–6 | 0.01 | 17% | 20 Aug → | ||
| 11–13 | -0.03 | 9% | 19 Aug → | ||
| 13–10 | 0.05 | 19% | 19 Aug → | ||
| 10–13 | 0.05 | 11% | 19 Aug → | ||
| 11–13 | -0.04 | 12% | 19 Aug → | ||
| 13–11 | -0.05 | 9% | 18 Aug → | ||
| 16–14 | 0.02 | 8% | 18 Aug → | ||
| 15–15 | 0.00 | 16% | 18 Aug → | ||
| 13–10 | -0.01 | 8% | 17 Aug → | ||
| 14–16 | -0.04 | 16% | 17 Aug → | ||
| 8–13 | -0.05 | 14% | 17 Aug → | ||
| 11–13 | -0.01 | 25% | 17 Aug → | ||
| 13–6 | -0.02 | 10% | 17 Aug → | ||
| 13–6 | 0.01 | 15% | 16 Aug → | ||
| 13–4 | 0.03 | 29% | 16 Aug → | ||
| 4–13 | -0.04 | 16% | 16 Aug → | ||
| 13–10 | 0.05 | 18% | 16 Aug → | ||
| 16–14 | 0.04 | 8% | 15 Aug → | ||
| 13–3 | 0.07 | 14% | 15 Aug → | ||
| 13–8 | 0.05 | 22% | 15 Aug → | ||
| 5–13 | -0.09 | 5% | 14 Aug → | ||
| 13–7 | -0.03 | 10% | 14 Aug → | ||
| 6–13 | -0.09 | 15% | 14 Aug → | ||
| 4–13 | -0.07 | 0% | 14 Aug → | ||
| 13–7 | -0.00 | 4% | 13 Aug → | ||
| 13–10 | 0.02 | 18% | 13 Aug → | ||
| 15–15 | 0.03 | 15% | 13 Aug → | ||
| 13–3 | 0.02 | 16% | 13 Aug → | ||
| 8–13 | -0.02 | 21% | 13 Aug → | ||
| 16–12 | 0.06 | 17% | 12 Aug → | ||
| 13–10 | -0.04 | 16% | 12 Aug → | ||
| 8–13 | -0.10 | 11% | 12 Aug → | ||
| 13–8 | -0.02 | 7% | 12 Aug → | ||
| 13–5 | 0.05 | 17% | 12 Aug → | ||
| 10–13 | 0.05 | 19% | 11 Aug → | ||
| 13–4 | 0.05 | 16% | 11 Aug → | ||
| 13–7 | 0.00 | 13% | 11 Aug → | ||
| 15–15 | 0.03 | 11% | 11 Aug → | ||
| 7–3 | -0.00 | 17% | 11 Aug → | ||
| 13–16 | 0.01 | 13% | 11 Aug → | ||
| 15–15 | -0.01 | 12% | 10 Aug → | ||
| 13–6 | -0.00 | 9% | 10 Aug → | ||
| 9–13 | 0.03 | 7% | 10 Aug → | ||
| 1–6 | -0.00 | 14% | 10 Aug → | ||
| 13–8 | 0.06 | 18% | 10 Aug → | ||
| 13–9 | 0.00 | 13% | 10 Aug → | ||
| 13–16 | 0.03 | 7% | 9 Aug → | ||
| 3–9 | 0.01 | 21% | 9 Aug → | ||
| 9–13 | -0.07 | 12% | 9 Aug → | ||
| 13–3 | 0.09 | 16% | 9 Aug → | ||
| 6–13 | -0.08 | 7% | 9 Aug → | ||
| 16–14 | 0.06 | 13% | 5 Aug → | ||
| 13–10 | -0.05 | 14% | 5 Aug → | ||
| 6–13 | 0.02 | 12% | 5 Aug → | ||
| 9–13 | 0.07 | 15% | 5 Aug → | ||
| 1–13 | -0.10 | 5% | 5 Aug → | ||
| 12–16 | 0.02 | 9% | 4 Aug → | ||
| 13–10 | -0.02 | 11% | 4 Aug → | ||
| 7–13 | 0.02 | 15% | 4 Aug → | ||
| 15–15 | -0.02 | 24% | 4 Aug → | ||
| 13–8 | -0.04 | 19% | 3 Aug → | ||
| 16–14 | -0.05 | 14% | 3 Aug → | ||
| 13–11 | -0.06 | 7% | 3 Aug → | ||
| 13–16 | -0.01 | 17% | 2 Aug → | ||
| 13–8 | -0.01 | 22% | 2 Aug → | ||
| 7–13 | -0.01 | 13% | 2 Aug → | ||
| 13–11 | 0.00 | 25% | 2 Aug → | ||
| 13–11 | -0.02 | 12% | 2 Aug → |
Match data via Leetify.