Versaqt — CS2 Stats
MX76561198860301773[U:1:900036045]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Effective flashesReliable in 1v1s
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 71% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Strengths
Flashes. 0.80 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 736ms 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 3.9/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 24 | 10–14 | 42% | -0.02 |
 mirage | B | 20 | 10–10 | 50% | -0.01 |
 train | B | 13 | 7–6 | 54% | 0.03 |
 nuke | S | 9 | 6–3 | 67% | -0.02 |
 ancient | C | 9 | 4–5 | 44% | -0.01 |
 inferno | D | 8 | 1–7 | 13% | 0.01 |
 anubis | A | 7 | 4–3 | 57% | -0.02 |
 overpass | D | 6 | 2–4 | 33% | -0.02 |
 vertigo | — | 2 | 2–0 | 100% | -0.01 |
 cache | — | 1 | 0–1 | 0% | -0.05 |
| grail | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Train | 1 | 100% | 0.71 | 10.0 |
| Ancient | 1 | 100% | 0.50 | 6.0 |
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 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 735.9289ms — above the 700ms mark we flag
- 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 20.496% — 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 | |
|---|---|---|---|---|---|
| mirage | 3–13 | -0.03 | 9% | 23 Jul → | |
| overpass | 12–16 | -0.01 | 26% | 28 May → | |
| cache | 12–12 | -0.05 | 8% | 5 May → | |
| dust2 | 9–13 | -0.11 | 17% | 16 Mar → | |
| nuke | 13–10 | -0.03 | 28% | 20 Feb → | |
| dust2 | 13–7 | -0.01 | 25% | 17 Feb → | |
| anubis | 13–10 | -0.07 | 13% | 8 Jan → | |
| mirage | 4–13 | 0.02 | 24% | 2 Jan → | |
| dust2 | 6–13 | -0.04 | 18% | 1 Jan → | |
| mirage | 4–13 | -0.04 | 23% | 30 Dec → | |
| dust2 | 3–13 | -0.06 | 33% | 30 Dec → | |
| dust2 | 1–13 | -0.06 | 23% | 30 Dec → | |
| nuke | 13–3 | 0.05 | 28% | 30 Dec → | |
| mirage | 13–8 | 0.06 | 18% | 20 Dec → | |
| dust2 | 6–13 | 0.07 | 36% | 19 Dec → | |
| mirage | 13–6 | -0.01 | 29% | 12 Dec → | |
| overpass | 9–13 | 0.01 | 19% | 28 Sept → | |
| dust2 | 14–16 | -0.00 | 16% | 22 Sept → | |
| dust2 | 9–13 | -0.02 | 21% | 9 Sept → | |
| mirage | 13–9 | -0.04 | 32% | 19 Aug → | |
| overpass | 13–7 | -0.04 | 17% | 19 Aug → | |
| ancient | 13–7 | -0.01 | 27% | 18 Aug → | |
| ancient | 1–13 | -0.11 | 10% | 18 Aug → | |
| mirage | 10–13 | -0.03 | 20% | 14 Aug → | |
| dust2 | 2–13 | -0.08 | 12% | 14 Aug → | |
| mirage | 9–13 | 0.05 | 19% | 12 Aug → | |
| dust2 | 13–11 | -0.00 | 22% | 11 Aug → | |
| train | 5–13 | -0.06 | 29% | 10 Aug → | |
| overpass | 9–13 | -0.02 | 22% | 9 Aug → | |
| ancient | 13–4 | -0.05 | 24% | 9 Aug → | |
| mirage | 9–13 | -0.08 | 26% | 26 Jul → | |
| overpass | 6–13 | -0.07 | 25% | 24 Jul → | |
| train | 13–10 | 0.03 | 34% | 12 Jun → | |
| dust2 | 12–12 | -0.00 | 30% | 6 Jun → | |
| train | 1–13 | -0.05 | 32% | 5 Jun → | |
| mirage | 8–13 | 0.01 | 25% | 4 Jun → | |
| nuke | 13–3 | -0.07 | 26% | 4 Jun → | |
| anubis | 11–13 | -0.03 | 27% | 31 May → | |
| inferno | 3–13 | 0.01 | 14% | 30 May → | |
| anubis | 13–6 | 0.08 | 23% | 28 May → | |
| ancient | 9–13 | -0.06 | 10% | 25 May → | |
| inferno | 9–13 | -0.06 | 20% | 22 May → | |
| dust2 | 13–10 | -0.05 | 31% | 18 May → | |
| nuke | 10–13 | -0.06 | 13% | 18 May → | |
| mirage | 13–9 | -0.07 | 25% | 18 May → | |
| mirage | 9–2 | -0.00 | 18% | 18 May → | |
| nuke | 13–5 | -0.07 | 14% | 18 May → | |
| dust2 | 12–6 | -0.03 | 12% | 18 May → | |
| dust2 | 6–13 | -0.01 | 33% | 18 May → | |
| mirage | 13–9 | 0.07 | 28% | 18 May → | |
| ancient | 13–9 | 0.05 | 12% | 18 May → | |
| dust2 | 13–6 | -0.03 | 31% | 18 May → | |
| dust2 | 10–13 | -0.12 | 23% | 17 May → | |
| dust2 | 13–7 | 0.03 | 27% | 17 May → | |
| ancient | 13–9 | 0.01 | 11% | 17 May → | |
| mirage | 13–6 | -0.01 | 28% | 16 May → | |
| anubis | 13–5 | -0.03 | 19% | 16 May → | |
| mirage | 12–12 | -0.01 | 12% | 16 May → | |
| anubis | 7–13 | -0.09 | 19% | 16 May → | |
| inferno | 12–12 | 0.02 | 16% | 16 May → | |
| nuke | 13–16 | -0.03 | 25% | 15 May → | |
| train | 13–9 | -0.03 | 25% | 15 May → | |
| nuke | 13–2 | 0.02 | 22% | 13 May → | |
| mirage | 13–7 | 0.01 | 24% | 13 May → | |
| dust2 | 13–5 | -0.03 | 16% | 9 May → | |
| inferno | 5–13 | -0.03 | 10% | 8 May → | |
| dust2 | 10–13 | -0.01 | 18% | 8 May → | |
| grail | 11–13 | -0.04 | 15% | 8 May → | |
| train | 11–0 | 0.11 | 50% | 6 May → | |
| nuke | 13–9 | 0.02 | 23% | 6 May → | |
| mirage | 13–5 | -0.02 | 19% | 6 May → | |
| dust2 | 13–9 | 0.03 | 20% | 5 May → | |
| dust2 | 13–8 | 0.01 | 23% | 4 May → | |
| dust2 | 5–13 | 0.05 | 34% | 4 May → | |
| train | 13–6 | -0.00 | 13% | 3 May → | |
| inferno | 13–4 | 0.01 | 26% | 3 May → | |
| train | 13–11 | -0.01 | 11% | 3 May → | |
| inferno | 15–15 | 0.04 | 28% | 2 May → | |
| vertigo | 13–9 | 0.02 | 21% | 30 Apr → | |
| anubis | 13–10 | -0.03 | 16% | 29 Apr → | |
| train | 13–6 | 0.06 | 31% | 28 Apr → | |
| nuke | 5–13 | 0.03 | 18% | 26 Apr → | |
| dust2 | 5–13 | 0.02 | 29% | 25 Apr → | |
| ancient | 9–13 | -0.04 | 16% | 24 Apr → | |
| anubis | 2–11 | -0.01 | 8% | 10 Apr → | |
| inferno | 12–12 | 0.06 | 34% | 5 Mar → | |
| overpass | 13–3 | 0.00 | 33% | 14 Feb → | |
| inferno | 10–13 | 0.01 | 16% | 7 Feb → | |
| dust2 | 13–2 | -0.02 | 7% | 7 Feb → | |
| train | 7–13 | 0.16 | 23% | 28 Jan → | |
| vertigo | 9–2 | -0.04 | 17% | 28 Jan → | |
| train | 11–13 | 0.07 | 38% | 26 Jan → | |
| ancient | 6–13 | 0.01 | 26% | 26 Jan → | |
| train | 12–12 | 0.04 | 24% | 19 Jan → | |
| train | 5–13 | 0.08 | 13% | 13 Jan → | |
| ancient | 8–13 | 0.08 | 26% | 13 Jan → | |
| mirage | 13–8 | -0.04 | 20% | 10 Jan → | |
| mirage | 1–13 | -0.04 | 14% | 20 Dec → | |
| mirage | 11–13 | 0.00 | 20% | 18 Dec → | |
| train | 13–5 | 0.04 | 27% | 18 Dec → |
Match data via Leetify.