Xotic

Xotic — CS2 Stats

EE76561198995895591[U:1:1035629863]Steam profile ↗✓ No bans

226Tracked matches34%Win rate2026Tracked since
172Hours in CS
CSDB Rating4.2 Developing
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim58
Positioning34
Utility38

0–100 skill scores via Leetify.

Recent form

COLD40564Last 10040%Win rateLWLLLLWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression5.1
Utility3.8
Positioning3.4
Opening Duels1.9

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim5.8
Positioning3.4
Utility3.8
Mechanics6.5
Opening Duels2.4
Win Impact0.0

Composite 4.2/10 (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

Match rating-0.04−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time633ms−41ms
first ⅓ avg 674ms → last ⅓ avg 633ms
Headshot accuracy14.4%+2.4%
first ⅓ avg 12.0% → last ⅓ avg 14.4%

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

0.15Best rating — cache 13–1
130Biggest win — mirage
5Longest win streak
57In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 50% over 6nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%-0.05
ancientC1981142%-0.05
cacheB178947%-0.03
anubisC146843%-0.03
nukeD134931%-0.04
mirageB63350%-0.04
dust2C52340%-0.05
overpass4040%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,313Lifetime kills
0.72K/D
627Matches
35.7%Match win rate
34.4%Headshot %
8.1%Shot accuracy
951MVPs
172Hours (in match)
444Bombs planted
68Bombs defused

Most-used weapons

Lifetime map wins

835inferno
620nuke
406dust2
142lake
82bank
58safehouse
37vertigo
20stmarc

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.

14.8%Headshot accuracy
33.3%Accuracy (enemy spotted)
36.0%Spray accuracy
79.4%Counter-strafing
10.2°Preaim
625msReaction time
26.0%T opening success
49.4%CT opening success
0.42Enemies flashed / flash
4.9%Flash assists
9.10HE damage / grenade
5.61Flashes / match

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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8466% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4232 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 26.0284% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.1015%30 Jul
mirage13–10-0.0320%30 Jul
inferno10–13-0.0714%30 Jul
cache3–13-0.1025%30 Jul
inferno8–13-0.0915%30 Jul
ancient10–13-0.0518%30 Jul
anubis13–30.0119%30 Jul
dust27–13-0.0518%17 Jul
dust213–8-0.0317%17 Jul
dust26–13-0.0819%17 Jul
cache10–13-0.0318%16 Jul
nuke10–130.0113%16 Jul
ancient8–13-0.0319%16 Jul
cache11–13-0.117%11 Jul
ancient13–9-0.1112%10 Jul
cache15–15-0.0616%10 Jul
inferno13–8-0.058%10 Jul
nuke7–13-0.0216%10 Jul
ancient13–11-0.0110%10 Jul
inferno6–13-0.066%10 Jul
mirage9–13-0.0530%3 Jul
mirage13–5-0.0810%21 Jun
inferno9–13-0.0429%21 Jun
nuke13–40.0516%21 Jun
ancient10–13-0.0610%11 Jun
anubis13–10-0.087%10 Jun
ancient9–13-0.059%2 Jun
cache13–60.0217%2 Jun
cache6–13-0.0614%26 May
anubis11–13-0.025%23 May
ancient13–20.017%23 May
inferno14–160.019%23 May
anubis10–13-0.0410%23 May
mirage5–13-0.0419%23 May
nuke1–13-0.078%22 May
nuke5–9-0.055%22 May
ancient13–10-0.0513%21 May
anubis13–90.0120%21 May
ancient13–7-0.078%21 May
ancient6–13-0.038%20 May
inferno5–13-0.0921%20 May
ancient13–9-0.0510%20 May
anubis1–13-0.0715%18 May
nuke5–13-0.0812%18 May
anubis16–13-0.0913%18 May
nuke13–7-0.0413%17 May
dust213–10-0.039%17 May
inferno10–5-0.0410%17 May
inferno13–11-0.039%17 May
anubis7–13-0.0315%17 May
nuke16–13-0.0213%17 May
anubis13–110.0210%17 May
ancient13–70.0114%17 May
inferno13–7-0.045%17 May
inferno9–4-0.0311%15 May
dust213–16-0.0610%15 May
inferno10–13-0.0724%13 May
ancient7–130.016%13 May
ancient6–13-0.058%13 May
nuke13–6-0.0712%13 May
inferno5–13-0.118%13 May
inferno11–13-0.057%13 May
nuke15–15-0.0212%13 May
overpass5–13-0.0611%12 May
inferno1–13-0.1013%12 May
overpass6–13-0.0415%12 May
anubis2–13-0.090%12 May
inferno13–8-0.0614%12 May
inferno13–6-0.075%11 May
anubis5–130.047%11 May
ancient11–13-0.024%11 May
overpass10–13-0.0211%11 May
cache13–10.157%11 May
cache10–13-0.028%9 May
ancient4–13-0.100%9 May
inferno5–13-0.0920%9 May
anubis13–30.0412%9 May
inferno8–130.067%6 May
overpass6–130.0321%6 May
inferno13–5-0.025%6 May
ancient15–15-0.059%5 May
cache13–9-0.0518%5 May
cache13–100.0019%5 May
cache13–11-0.1427%5 May
nuke6–13-0.0523%4 May
cache13–6-0.0415%4 May
cache13–6-0.037%4 May
cache11–13-0.0114%4 May
inferno8–13-0.0412%30 Apr
nuke8–13-0.067%30 Apr
ancient13–11-0.0712%30 Apr
mirage13–00.0510%30 Apr
anubis8–13-0.0214%30 Apr
inferno13–8-0.0123%30 Apr
cache12–12-0.049%30 Apr
anubis8–13-0.058%29 Apr
ancient4–13-0.117%29 Apr
nuke9–13-0.078%29 Apr
cache13–90.0514%29 Apr
cache11–13-0.0519%29 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →