VOODOONUT — CS2 Stats
76561198415377791[U:1:455112063]
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 76% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 759ms 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 4.0/10 (Developing), 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 66 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 |
|---|---|---|---|---|---|
 dust2 | B | 28 | 13–15 | 46% | -0.02 |
 mirage | D | 11 | 3–8 | 27% | -0.03 |
 inferno | C | 9 | 4–5 | 44% | -0.02 |
 nuke | — | 4 | 2–2 | 50% | -0.04 |
 ancient | — | 3 | 1–2 | 33% | -0.03 |
 train | — | 3 | 1–2 | 33% | -0.05 |
 anubis | — | 3 | 1–2 | 33% | -0.04 |
 cache | — | 2 | 1–1 | 50% | -0.05 |
| office | — | 1 | 1–0 | 100% | -0.09 |
 vertigo | — | 1 | 1–0 | 100% | -0.03 |
| jura | — | 1 | 1–0 | 100% | 0.01 |
Across the last 66 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage 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.
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 8.2706% — 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 758.8964ms — 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 2.6218 — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | -0.00 | 10% | 28 Aug → | |
| mirage | 5–13 | -0.04 | 11% | 28 Aug → | |
| mirage | 13–11 | -0.11 | 6% | 28 Aug → | |
| ancient | 10–13 | -0.05 | 7% | 28 Aug → | |
| cache | 13–10 | -0.02 | 6% | 28 Aug → | |
| mirage | 13–9 | 0.03 | 15% | 27 Aug → | |
| dust2 | 11–13 | -0.06 | 12% | 26 Aug → | |
| dust2 | 6–13 | -0.01 | 6% | 26 Aug → | |
| dust2 | 13–9 | -0.09 | 0% | 25 Aug → | |
| nuke | 13–3 | -0.02 | 8% | 25 Aug → | |
| dust2 | 13–8 | -0.02 | 5% | 24 Aug → | |
| inferno | 11–13 | -0.03 | 9% | 23 Aug → | |
| dust2 | 13–8 | -0.07 | 10% | 13 Aug → | |
| nuke | 13–6 | -0.12 | 20% | 11 Aug → | |
| inferno | 0–13 | -0.07 | 6% | 11 Aug → | |
| dust2 | 12–2 | 0.00 | 4% | 1 Aug → | |
| dust2 | 7–13 | -0.01 | 2% | 18 Jun → | |
| train | 13–3 | -0.08 | 3% | 17 Jun → | |
| dust2 | 13–3 | 0.00 | 12% | 15 Jun → | |
| nuke | 11–13 | -0.06 | 16% | 14 Jun → | |
| mirage | 2–13 | -0.05 | 2% | 14 Jun → | |
| inferno | 13–2 | 0.18 | 9% | 13 Jun → | |
| nuke | 6–13 | 0.04 | 16% | 13 Jun → | |
| dust2 | 8–13 | -0.06 | 3% | 13 Jun → | |
| dust2 | 13–3 | -0.02 | 8% | 12 Jun → | |
| dust2 | 10–13 | 0.03 | 8% | 12 Jun → | |
| dust2 | 13–1 | 0.03 | 8% | 12 Jun → | |
| cache | 2–13 | -0.08 | 13% | 10 Jun → | |
| mirage | 13–8 | -0.07 | 6% | 21 Nov → | |
| office | 13–8 | -0.09 | 5% | 12 Jul → | |
| vertigo | 13–9 | -0.03 | 9% | 22 Jun → | |
| dust2 | 7–13 | 0.02 | 9% | 16 Jun → | |
| dust2 | 5–13 | -0.07 | 5% | 14 Jun → | |
| dust2 | 16–14 | 0.06 | 13% | 13 Jun → | |
| mirage | 5–13 | -0.06 | 12% | 13 Jun → | |
| inferno | 6–13 | -0.01 | 6% | 12 Jun → | |
| dust2 | 13–3 | 0.05 | 14% | 11 Jun → | |
| jura | 13–5 | 0.01 | 5% | 10 Jun → | |
| dust2 | 9–13 | -0.04 | 14% | 29 Apr → | |
| inferno | 13–8 | -0.03 | 22% | 25 Apr → | |
| dust2 | 12–12 | 0.00 | 6% | 23 Apr → | |
| anubis | 5–13 | -0.06 | 13% | 21 Apr → | |
| train | 4–13 | -0.07 | 10% | 20 Apr → | |
| dust2 | 2–13 | 0.07 | 17% | 20 Apr → | |
| ancient | 13–11 | -0.03 | 15% | 19 Apr → | |
| dust2 | 13–3 | -0.05 | 9% | 19 Apr → | |
| dust2 | 13–2 | 0.01 | 17% | 12 Apr → | |
| dust2 | 4–13 | 0.02 | 24% | 12 Apr → | |
| anubis | 3–13 | -0.06 | 7% | 11 Apr → | |
| anubis | 13–5 | -0.01 | 5% | 11 Apr → | |
| inferno | 5–11 | -0.04 | 7% | 5 Apr → | |
| inferno | 6–13 | -0.12 | 11% | 5 Apr → | |
| dust2 | 13–2 | 0.02 | 4% | 1 Apr → | |
| mirage | 11–13 | -0.04 | 10% | 1 Apr → | |
| mirage | 11–13 | 0.01 | 9% | 1 Apr → | |
| inferno | 13–9 | -0.06 | 11% | 27 Mar → | |
| mirage | 12–12 | -0.01 | 9% | 27 Mar → | |
| dust2 | 11–13 | -0.04 | 7% | 26 Mar → | |
| inferno | 13–9 | -0.03 | 10% | 21 Mar → | |
| dust2 | 5–13 | -0.03 | 6% | 18 Mar → | |
| dust2 | 13–8 | -0.00 | 15% | 15 Mar → | |
| dust2 | 4–13 | -0.02 | 11% | 11 Mar → | |
| mirage | 5–13 | 0.05 | 5% | 10 Mar → | |
| mirage | 3–13 | -0.04 | 0% | 8 Mar → | |
| dust2 | 5–13 | -0.13 | 11% | 7 Mar → | |
| train | 12–12 | -0.00 | 13% | 22 Feb → |
Match data via Leetify.