[ACU] Toastee — CS2 Stats

76561198131414128[U:1:171148400]✓ No bans

695Tracked matches52%Win rate2022Tracked since
715Hours in CS
CSDB Rating2.8 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning45
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY424612Last 10042%Win rateLLLLWWWWTT

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim1.9
Aggression7.3
Utility1.9
Positioning4.5
Opening Duels3.1

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

b1t

Plays most like b1t 72% playstyle similarity

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

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. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning4.5
Utility1.9
Mechanics1.2
Opening Duels3.1
Win Impact5.6

Composite 2.8/10 (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 time655ms−47ms
first ⅓ avg 703ms → last ⅓ avg 655ms
Headshot accuracy14.5%+1.8%
first ⅓ avg 12.8% → last ⅓ avg 14.5%

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

0.18Best rating — cache 9–0
130Biggest win — ancient
4Longest win streak
L4Current streak
74In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2113862%-0.02
ancientD1651131%-0.02
infernoC1661038%-0.03
anubisB157847%-0.02
cacheD82625%-0.01
trainS64267%-0.00
dust2D61517%-0.07
vertigo42250%0.02
mirage42250%-0.03
overpass3030%-0.04
alpine1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,630Lifetime kills
0.93K/D
1,912Matches
42.8%Match win rate
35.4%Headshot %
9.3%Shot accuracy
3,537MVPs
715Hours (in match)
907Bombs planted
354Bombs defused

Most-used weapons

Lifetime map wins

4,314dust2
2,508inferno
1,888nuke
861train
338vertigo
84cbble
47office
28italy

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.

14.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
33.5%Spray accuracy
55.4%Counter-strafing
13.6°Preaim
653msReaction time
39.2%T opening success
45.5%CT opening success
0.27Enemies flashed / flash
0.6%Flash assists
8.34HE damage / grenade
1.41Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.5515° — above the 12° mark we flag

    Aim Training
  2. 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 14.4697% — below the 15% mark we flag

    Aim Training
  3. 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 0.2748 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–130.019%26 Aug
inferno3–13-0.053%26 Aug
anubis8–13-0.0511%26 Aug
inferno5–13-0.0118%25 Aug
inferno13–3-0.0212%25 Aug
nuke13–6-0.0110%25 Aug
ancient13–60.0221%25 Aug
train13–80.0316%23 Aug
dust212–12-0.0614%22 Aug
ancient12–12-0.0312%22 Aug
ancient5–13-0.0514%22 Aug
inferno12–12-0.0715%22 Aug
ancient13–11-0.0418%22 Aug
train13–10-0.017%22 Aug
nuke13–7-0.0810%21 Aug
dust213–8-0.0425%21 Aug
anubis2–13-0.0417%21 Aug
train13–60.1111%21 Aug
ancient13–00.0216%18 Aug
ancient5–13-0.096%16 Aug
vertigo9–130.0317%16 Aug
nuke13–5-0.0317%16 Aug
nuke13–30.0112%15 Aug
inferno3–13-0.032%12 Aug
anubis11–13-0.0714%12 Aug
train4–13-0.0826%12 Aug
nuke11–13-0.0323%9 Aug
anubis13–10-0.0114%9 Aug
cache5–13-0.0929%9 Aug
nuke13–100.0213%7 Aug
cache12–12-0.0513%7 Aug
overpass12–12-0.0420%5 Aug
nuke7–130.0015%5 Aug
anubis8–13-0.0410%1 Aug
inferno8–130.0014%1 Aug
ancient9–13-0.0517%31 Jul
ancient6–13-0.025%28 Jul
anubis13–100.0314%27 Jul
anubis13–8-0.106%26 Jul
cache12–12-0.0611%26 Jul
anubis10–13-0.0421%26 Jul
anubis13–70.009%24 Jul
inferno13–110.0715%22 Jul
inferno9–13-0.0313%22 Jul
cache11–13-0.019%22 Jul
dust24–13-0.1013%22 Jul
dust28–13-0.107%21 Jul
mirage6–13-0.078%21 Jul
nuke13–2-0.0012%21 Jul
ancient13–9-0.0211%20 Jul
nuke13–2-0.075%20 Jul
inferno8–13-0.0515%20 Jul
nuke13–100.0117%20 Jul
nuke8–130.0325%15 Jul
train6–4-0.0221%8 Jul
ancient13–8-0.0114%8 Jul
inferno7–13-0.0515%7 Jul
inferno12–12-0.049%7 Jul
inferno13–11-0.0211%6 Jul
cache2–13-0.0410%6 Jul
inferno13–110.0114%30 Jun
alpine2–11-0.0710%30 Jun
cache13–40.0714%29 Jun
ancient12–120.038%28 Jun
nuke4–13-0.1013%24 Jun
nuke6–130.0111%23 Jun
anubis7–13-0.0313%23 Jun
overpass6–13-0.098%22 Jun
inferno7–13-0.0315%22 Jun
cache9–00.189%15 Jun
anubis13–5-0.049%15 Jun
vertigo13–4-0.0012%9 Jun
ancient12–16-0.0313%7 Jun
ancient6–13-0.0614%7 Jun
inferno13–7-0.0713%5 Jun
anubis8–13-0.0012%5 Jun
nuke13–110.0216%5 Jun
vertigo13–60.0213%3 Jun
dust29–13-0.0615%2 Jun
ancient7–13-0.0613%2 Jun
nuke12–12-0.0412%29 May
mirage13–9-0.025%27 May
vertigo12–120.0220%26 May
anubis13–11-0.0112%26 May
mirage3–13-0.0216%26 May
nuke13–10-0.0611%25 May
mirage13–7-0.0118%25 May
nuke13–7-0.058%23 May
anubis13–60.002%22 May
nuke15–15-0.0117%20 May
dust211–13-0.0313%20 May
overpass8–13-0.0013%13 May
nuke6–13-0.0219%12 May
nuke13–70.0321%12 May
anubis7–130.0614%12 May
nuke13–9-0.0217%30 Apr
inferno13–5-0.0213%30 Apr
ancient7–130.0111%29 Apr
cache4–13-0.067%29 Apr
train12–12-0.0514%28 Apr

Match data via Leetify.

Recent teammates

Milestones

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