Thiodexal

Thiodexal — CS2 Stats

NZ76561198026362720[U:1:66096992]Steam profile ↗

436Tracked matches38%Win rate2024Tracked since
1,488Hours in CS6Hrs last 2 wks
CSDB Rating3.5 Learning
Ladder ranks via Leetify

Performance scores

Aim39
Positioning41
Utility32

0–100 skill scores via Leetify.

Recent form

COLD51454Last 10051%Win rateWWLWLLLLLL

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

Aim3.9
Aggression3.0
Utility3.2
Positioning4.1
Opening Duels0.0

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 71% 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. 688ms 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

Aim3.9
Positioning4.1
Utility3.2
Mechanics6.5
Opening Duels0.0
Win Impact1.0

Composite 3.5/10 (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

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time684ms−43ms
first ⅓ avg 727ms → last ⅓ avg 684ms
Headshot accuracy13.2%+1.4%
first ⅓ avg 11.8% → last ⅓ avg 13.2%

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 — anubis 13–9
130Biggest win — dust2
6Longest win streak
W2Current streak
63In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 70% over 10ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B189950%-0.01
infernoA116555%-0.01
officeA106460%0.01
mirageS107370%-0.03
nukeA106460%-0.03
cacheC94544%-0.04
anubisB63350%-0.00
ancientD62433%-0.06
vertigoD62433%-0.03
trainS64267%-0.02
overpass4040%-0.01
warden32167%0.01
boulder1010%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,414Lifetime kills
1.13K/D · Top 50% of tracked players
3,012Matches
47.2%Match win rate · Top 50% of tracked players
40.2%Headshot %
17.4%Shot accuracy · Top 25% of tracked players
6,728MVPs
901Hours (in match)
1,477Bombs planted
480Bombs defused

Most-used weapons

Lifetime map wins

4,588dust2
1,432lake
1,363inferno
1,335bank
1,106safehouse
830nuke
675shorttrain
668sugarcane

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.

13.1%Headshot accuracy
29.7%Accuracy (enemy spotted)
35.5%Spray accuracy
79.5%Counter-strafing
11.6°Preaim
688msReaction time
24.8%T opening success
26.9%CT opening success
0.30Enemies flashed / flash
5.5%Flash assists
5.54HE damage / grenade
3.62Flashes / 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 13.1398% — 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 0.2993 — 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 24.8351% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–7-0.0011%28 Aug
cache13–40.0719%28 Aug
anubis4–13-0.0731%28 Aug
inferno13–6-0.010%28 Aug
dust24–13-0.1221%28 Aug
office8–130.0812%21 Aug
mirage5–13-0.0610%21 Aug
inferno10–130.048%21 Aug
dust24–130.0511%21 Aug
dust26–13-0.037%15 Aug
mirage13–9-0.0512%15 Aug
dust27–13-0.1015%14 Aug
ancient13–10-0.104%14 Aug
vertigo4–13-0.047%14 Aug
train8–13-0.0925%14 Aug
nuke7–13-0.0620%7 Aug
office7–130.0114%7 Aug
dust213–10-0.018%7 Aug
ancient4–13-0.0915%7 Aug
vertigo13–6-0.019%31 Jul
nuke13–90.0711%31 Jul
mirage9–13-0.0921%31 Jul
inferno13–5-0.069%31 Jul
cache6–13-0.0911%31 Jul
dust211–13-0.039%31 Jul
nuke5–13-0.0521%24 Jul
office13–110.0414%24 Jul
anubis12–12-0.0517%24 Jul
office13–10-0.0211%17 Jul
nuke9–13-0.0215%17 Jul
cache13–9-0.0221%17 Jul
office10–13-0.029%10 Jul
boulder7–130.067%10 Jul
cache1–13-0.0421%10 Jul
inferno13–70.0810%10 Jul
dust213–11-0.0523%10 Jul
overpass6–13-0.0317%3 Jul
inferno10–13-0.0310%3 Jul
anubis13–90.1518%3 Jul
nuke13–8-0.0512%3 Jul
mirage13–70.018%3 Jul
inferno13–10.0710%26 Jun
nuke13–6-0.0710%26 Jun
mirage16–14-0.0611%26 Jun
dust210–13-0.068%20 Jun
dust213–00.115%20 Jun
warden13–20.0511%20 Jun
train13–00.0214%19 Jun
dust213–10.0114%19 Jun
inferno10–13-0.036%12 Jun
mirage13–2-0.0116%12 Jun
overpass2–13-0.0110%12 Jun
dust213–9-0.0213%12 Jun
cache11–13-0.083%12 Jun
cache11–13-0.077%5 Jun
anubis13–10.0210%5 Jun
inferno9–13-0.038%5 Jun
office13–90.0212%29 May
nuke12–12-0.038%29 May
inferno12–12-0.039%29 May
warden2–13-0.0311%29 May
cache13–5-0.0323%29 May
dust213–50.019%29 May
mirage13–11-0.0012%29 May
inferno13–8-0.0219%22 May
warden13–10-0.008%22 May
mirage7–13-0.0517%22 May
ancient4–13-0.105%22 May
office13–100.027%22 May
dust213–9-0.0011%22 May
mirage13–8-0.0224%15 May
nuke13–3-0.0215%8 May
dust28–130.018%8 May
office13–10-0.0211%8 May
overpass1–40.016%8 May
train13–80.0418%8 May
cache6–13-0.056%8 May
cache13–11-0.0412%8 May
vertigo6–13-0.107%8 May
dust213–30.0217%5 May
dust26–13-0.009%5 May
mirage13–40.0413%5 May
vertigo0–13-0.025%24 Apr
ancient12–120.038%24 Apr
office10–130.017%24 Apr
nuke13–10-0.008%24 Apr
anubis2–13-0.048%24 Apr
dust213–110.017%24 Apr
train13–30.0617%17 Apr
ancient13–5-0.0727%17 Apr
vertigo13–30.0721%10 Apr
train5–13-0.0712%3 Apr
overpass2–130.0112%3 Apr
vertigo9–13-0.0921%3 Apr
anubis13–9-0.0312%3 Apr
dust29–13-0.0614%28 Mar
ancient4–13-0.049%28 Mar
inferno13–10-0.0813%28 Mar
train13–3-0.0510%28 Mar
nuke13–9-0.0410%28 Mar

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 →