Maniac.0330 — CS2 Stats
76561198376251429[U:1:415985701]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 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 83% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 738ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| S | 24 | 16–8 | 67% | 0.01 | |
| A | 16 | 10–6 | 63% | -0.00 | |
| A | 14 | 9–5 | 64% | 0.06 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| eldorado | — | 1 | 1–0 | 100% | 0.10 |
| debris | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 44% | 0.92 | 15.3 |
| Dust2 | 34 | 53% | 1.01 | 15.8 |
| Nuke | 22 | 59% | 1.10 | 16.4 |
| Inferno | 17 | 53% | 1.02 | 16.4 |
| Ancient | 14 | 57% | 0.97 | 14.2 |
| Anubis | 14 | 50% | 0.88 | 16.5 |
| Cache | 8 | 25% | 0.78 | 13.0 |
| Overpass | 5 | 60% | 0.90 | 15.2 |
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 14.1649% — 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 738.4178ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7668 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–1 | 0.24 | 15% | 26 Aug → | ||
| 8–8 | -0.00 | 23% | 26 Aug → | ||
| 13–2 | 0.01 | 15% | 26 Aug → | ||
| 13–3 | 0.03 | 12% | 22 Aug → | ||
| 8–13 | -0.02 | 11% | 22 Aug → | ||
| 13–4 | 0.07 | 17% | 22 Aug → | ||
| 13–10 | 0.10 | 23% | 17 Aug → | ||
| 7–13 | -0.05 | 9% | 17 Aug → | ||
| 12–12 | -0.04 | 15% | 11 Aug → | ||
| 13–5 | 0.02 | 11% | 10 Aug → | ||
| 13–7 | -0.03 | 10% | 10 Aug → | ||
| 13–6 | 0.05 | 16% | 10 Aug → | ||
| 8–13 | -0.02 | 22% | 10 Aug → | ||
| 3–13 | 0.02 | 19% | 10 Aug → | ||
| 13–10 | -0.02 | 9% | 6 Aug → | ||
| 13–6 | 0.03 | 9% | 5 Aug → | ||
| 10–13 | -0.05 | 13% | 5 Aug → | ||
| 13–6 | 0.00 | 9% | 5 Aug → | ||
| 13–7 | 0.02 | 6% | 3 Aug → | ||
| 9–13 | -0.03 | 9% | 3 Aug → | ||
| 7–13 | -0.09 | 16% | 3 Aug → | ||
| 9–13 | -0.04 | 6% | 31 Jul → | ||
| 9–13 | 0.03 | 22% | 31 Jul → | ||
| 13–3 | -0.04 | 13% | 31 Jul → | ||
| 13–7 | 0.07 | 25% | 30 Jul → | ||
| 13–2 | 0.03 | 18% | 30 Jul → | ||
| 13–6 | 0.07 | 16% | 30 Jul → | ||
| 12–12 | -0.00 | 17% | 30 Jul → | ||
| 10–13 | -0.06 | 17% | 30 Jul → | ||
| 6–13 | -0.05 | 9% | 30 Jul → | ||
| 13–7 | 0.00 | 14% | 30 Jul → | ||
| 13–7 | 0.02 | 16% | 29 Jul → | ||
| 13–10 | 0.04 | 21% | 29 Jul → | ||
| 13–8 | 0.03 | 13% | 29 Jul → | ||
| 13–10 | 0.05 | 14% | 29 Jul → | ||
| 11–13 | -0.04 | 17% | 29 Jul → | ||
| 13–7 | 0.00 | 20% | 29 Jul → | ||
| 13–7 | 0.04 | 15% | 29 Jul → | ||
| 11–13 | 0.01 | 11% | 29 Jul → | ||
| 9–13 | 0.07 | 17% | 28 Jul → | ||
| 13–5 | 0.03 | 19% | 28 Jul → | ||
| 13–4 | 0.05 | 17% | 28 Jul → | ||
| 12–12 | -0.01 | 9% | 28 Jul → | ||
| 2–0 | 0.32 | 50% | 28 Jul → | ||
| 13–3 | -0.02 | 7% | 28 Jul → | ||
| 22–20 | 0.01 | 9% | 27 Jul → | ||
| 7–2 | 0.00 | 10% | 26 Jul → | ||
| 7–13 | -0.02 | 11% | 25 Jul → | ||
| 3–8 | -0.12 | 33% | 25 Jul → | ||
| 8–13 | -0.05 | 7% | 24 Jul → | ||
| 15–15 | -0.00 | 16% | 24 Jul → | ||
| 11–13 | 0.00 | 19% | 23 Jul → | ||
| 16–14 | -0.01 | 17% | 22 Jul → | ||
| 13–0 | 0.01 | 16% | 21 Jul → | ||
| 10–5 | -0.01 | 14% | 20 Jul → | ||
| 13–11 | 0.09 | 31% | 20 Jul → | ||
| 13–11 | 0.10 | 8% | 20 Jul → | ||
| 13–4 | -0.05 | 6% | 20 Jul → | ||
| 13–11 | -0.00 | 20% | 18 Jul → | ||
| 13–2 | 0.04 | 12% | 17 Jul → | ||
| 13–11 | -0.02 | 11% | 17 Jul → | ||
| 11–13 | -0.01 | 6% | 17 Jul → | ||
| 16–13 | 0.01 | 20% | 17 Jul → | ||
| 13–9 | 0.02 | 20% | 17 Jul → | ||
| 9–13 | -0.05 | 13% | 16 Jul → | ||
| 15–15 | -0.04 | 14% | 16 Jul → | ||
| 13–7 | 0.09 | 14% | 16 Jul → | ||
| 6–13 | 0.03 | 9% | 16 Jul → | ||
| 13–4 | -0.03 | 12% | 15 Jul → | ||
| 9–13 | -0.05 | 18% | 15 Jul → | ||
| 8–13 | -0.01 | 14% | 15 Jul → | ||
| 10–13 | -0.03 | 4% | 15 Jul → | ||
| 13–11 | 0.05 | 23% | 15 Jul → | ||
| 13–9 | 0.02 | 18% | 15 Jul → | ||
| 13–7 | -0.03 | 13% | 15 Jul → | ||
| 8–13 | -0.00 | 14% | 15 Jul → | ||
| 6–13 | 0.03 | 13% | 14 Jul → | ||
| 14–16 | 0.02 | 7% | 14 Jul → | ||
| 10–13 | -0.02 | 18% | 14 Jul → | ||
| 13–10 | 0.01 | 6% | 12 Jul → | ||
| 15–15 | 0.03 | 15% | 11 Jul → | ||
| 13–10 | -0.02 | 27% | 10 Jul → | ||
| 5–13 | -0.06 | 15% | 10 Jul → | ||
| 8–13 | -0.04 | 15% | 9 Jul → | ||
| 15–15 | -0.03 | 18% | 9 Jul → | ||
| 1–13 | -0.05 | 11% | 9 Jul → | ||
| 13–9 | -0.01 | 16% | 9 Jul → | ||
| 13–6 | 0.03 | 13% | 9 Jul → | ||
| 0–13 | -0.06 | 13% | 9 Jul → | ||
| eldorado | 9–4 | 0.10 | 10% | 9 Jul → | |
| debris | 9–6 | 0.11 | 16% | 9 Jul → | |
| 10–3 | 0.01 | 7% | 8 Jul → | ||
| 7–13 | 0.07 | 15% | 8 Jul → | ||
| 5–8 | -0.04 | 10% | 8 Jul → | ||
| 13–11 | 0.01 | 11% | 8 Jul → | ||
| 13–10 | 0.08 | 15% | 8 Jul → | ||
| 11–13 | -0.04 | 11% | 7 Jul → | ||
| 13–7 | 0.06 | 13% | 7 Jul → | ||
| 13–9 | -0.04 | 19% | 7 Jul → | ||
| 13–5 | 0.07 | 8% | 6 Jul → |
Match data via Leetify.