ShoxX — CS2 Stats
76561197978266373[U:1:18000645]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 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 55% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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. 770ms 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 2.5/10 (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 47 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 | 10 | 4–6 | 40% | -0.04 |
| shelter | B | 8 | 4–4 | 50% | -0.07 |
 vertigo | C | 7 | 3–4 | 43% | -0.06 |
 ancient | D | 6 | 1–5 | 17% | -0.07 |
 mirage | D | 6 | 1–5 | 17% | -0.09 |
 train | A | 5 | 3–2 | 60% | -0.07 |
 nuke | — | 3 | 1–2 | 33% | -0.06 |
 anubis | — | 2 | 1–1 | 50% | -0.05 |
Across the last 47 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient 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 12.7797% — 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 770.4522ms — 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 16.5651% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–7 | -0.06 | 14% | 25 Aug → | |
| dust2 | 13–8 | 0.03 | 21% | 25 Aug → | |
| ancient | 11–13 | -0.05 | 5% | 25 Aug → | |
| shelter | 6–13 | -0.07 | 9% | 22 Aug → | |
| shelter | 6–13 | -0.11 | 4% | 21 Aug → | |
| shelter | 3–13 | -0.07 | 7% | 21 Aug → | |
| shelter | 13–4 | -0.04 | 5% | 20 Aug → | |
| shelter | 13–10 | -0.09 | 17% | 19 Aug → | |
| shelter | 7–13 | -0.05 | 25% | 17 Aug → | |
| shelter | 13–2 | -0.07 | 6% | 17 Aug → | |
| shelter | 13–5 | -0.03 | 24% | 17 Aug → | |
| ancient | 6–13 | -0.06 | 10% | 5 Feb → | |
| mirage | 6–13 | -0.07 | 7% | 4 Feb → | |
| dust2 | 11–13 | -0.07 | 5% | 2 Feb → | |
| train | 5–13 | -0.10 | 11% | 30 Jan → | |
| ancient | 13–4 | -0.08 | 6% | 30 Jan → | |
| dust2 | 13–7 | -0.01 | 42% | 30 Jan → | |
| train | 13–10 | -0.04 | 18% | 30 Jan → | |
| mirage | 6–13 | -0.10 | 26% | 30 Jan → | |
| mirage | 12–12 | -0.07 | 10% | 30 Jan → | |
| mirage | 13–10 | -0.08 | 10% | 28 Jan → | |
| train | 13–10 | -0.12 | 6% | 28 Jan → | |
| train | 13–11 | -0.03 | 11% | 26 Jan → | |
| train | 10–13 | -0.06 | 17% | 26 Jan → | |
| mirage | 5–13 | -0.09 | 19% | 20 Jan → | |
| ancient | 8–13 | -0.06 | 11% | 20 Jan → | |
| nuke | 9–13 | -0.07 | 7% | 20 Jan → | |
| vertigo | 5–13 | -0.06 | 22% | 29 Dec → | |
| mirage | 2–13 | -0.12 | 0% | 26 Dec → | |
| dust2 | 13–4 | -0.01 | 11% | 26 Dec → | |
| vertigo | 13–8 | -0.07 | 10% | 25 Dec → | |
| anubis | 13–7 | -0.01 | 16% | 21 Dec → | |
| dust2 | 12–12 | -0.07 | 8% | 15 Dec → | |
| nuke | 10–13 | -0.07 | 12% | 15 Dec → | |
| dust2 | 9–13 | -0.00 | 29% | 15 Dec → | |
| ancient | 6–13 | -0.11 | 4% | 13 Dec → | |
| vertigo | 8–13 | -0.05 | 16% | 13 Dec → | |
| dust2 | 4–13 | -0.03 | 13% | 11 Dec → | |
| vertigo | 13–2 | -0.03 | 25% | 11 Dec → | |
| vertigo | 5–13 | -0.06 | 12% | 4 Dec → | |
| anubis | 11–13 | -0.09 | 5% | 4 Dec → | |
| ancient | 12–12 | -0.06 | 5% | 30 Nov → | |
| vertigo | 13–11 | -0.07 | 15% | 28 Nov → | |
| vertigo | 5–13 | -0.12 | 26% | 4 Feb → | |
| dust2 | 9–13 | -0.11 | 13% | 1 Feb → | |
| dust2 | 9–13 | -0.07 | 17% | 27 Jan → | |
| nuke | 13–6 | -0.03 | 12% | 26 Jan → |
Match data via Leetify.
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