toastedx

toastedx — CS2 Stats

76561198253926578[U:1:293660850]Steam profile ↗✓ No bans

792Tracked matches62%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGtoastedxFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility61

0–100 skill scores via Leetify.

Recent form

COLD48466Last 10048%Win rateLLWLLWWTLL

Last 10 vs previous 10: -40pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression5.7
Utility6.1
Positioning5.3
Opening Duels1.1

Effective flashes

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 615ms 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

Aim7.4
Positioning5.3
Utility6.1
Mechanics8.0
Opening Duels1.1
Win Impact9.0

Composite 6.4/10 (Solid), 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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time614ms+1ms
first ⅓ avg 613ms → last ⅓ avg 614ms
Headshot accuracy24.3%+1.7%
first ⅓ avg 22.6% → last ⅓ avg 24.3%

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

0.14Best rating — cache 13–2
132Biggest win — cache
5Longest win streak
L2Current streak
610In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 59% over 22ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB34161847%-0.00
dust2A2213959%0.00
nukeB105550%-0.01
infernoA95456%-0.03
ancientD72529%-0.04
overpassB63350%0.00
cacheC52340%0.04
anubis41325%-0.03
train31233%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
32.8%Spray accuracy
86.0%Counter-strafing
9.5°Preaim
615msReaction time
35.8%T opening success
32.7%CT opening success
0.75Enemies flashed / flash
4.7%Flash assists
8.98HE damage / grenade
13.47Flashes / 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

    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 35.8001% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0026%17 May
cache11–13-0.0231%17 May
cache13–20.1427%6 May
cache10–130.0329%6 May
mirage10–13-0.0431%29 Apr
cache13–90.0714%29 Apr
nuke13–80.0632%18 Mar
nuke12–120.0626%18 Mar
dust29–13-0.0136%9 Mar
anubis2–13-0.0624%1 Mar
overpass6–13-0.0426%26 Feb
dust213–4-0.0024%26 Feb
dust213–11-0.0315%26 Feb
mirage16–13-0.0125%26 Feb
mirage13–7-0.0119%25 Feb
anubis3–13-0.0311%24 Feb
dust213–70.0323%24 Feb
inferno13–70.0318%24 Feb
dust216–12-0.0028%21 Feb
mirage8–13-0.0218%21 Feb
mirage13–70.0328%19 Feb
mirage13–110.0331%18 Feb
mirage13–100.0324%17 Feb
mirage9–130.0323%14 Feb
ancient13–80.0431%12 Feb
dust213–30.0519%12 Feb
dust213–100.0019%11 Feb
dust26–30.0418%11 Feb
mirage13–20.0224%10 Feb
dust213–160.0226%10 Feb
mirage13–100.0726%9 Feb
anubis13–7-0.0229%8 Feb
inferno13–10-0.0123%8 Feb
nuke3–13-0.0434%7 Feb
inferno2–13-0.0328%7 Feb
inferno13–8-0.0534%7 Feb
mirage13–11-0.0416%7 Feb
mirage13–90.0618%7 Feb
dust213–110.0634%7 Feb
dust211–13-0.0424%5 Feb
mirage13–70.0821%4 Feb
nuke13–70.0214%4 Feb
mirage6–13-0.0322%2 Feb
anubis11–13-0.0027%2 Feb
mirage13–40.0223%29 Jan
mirage14–16-0.0222%29 Jan
mirage15–15-0.0521%29 Jan
dust213–90.0233%28 Jan
mirage13–90.0225%28 Jan
mirage15–15-0.0318%27 Jan
mirage10–130.0736%27 Jan
nuke13–110.0121%27 Jan
dust28–130.0424%27 Jan
dust210–130.0422%26 Jan
mirage9–130.0413%26 Jan
ancient7–13-0.0417%25 Jan
dust213–6-0.0125%25 Jan
mirage7–13-0.0626%25 Jan
overpass13–30.0224%25 Jan
mirage9–13-0.0430%14 Jan
inferno14–16-0.0223%14 Jan
mirage13–30.0117%14 Jan
inferno16–13-0.0613%14 Jan
ancient5–13-0.1614%12 Jan
mirage13–16-0.0026%12 Jan
dust213–80.0029%12 Jan
mirage16–12-0.0016%11 Jan
nuke5–13-0.0732%11 Jan
overpass13–30.0231%4 Jan
ancient13–160.0130%4 Jan
nuke9–13-0.0622%4 Jan
ancient7–13-0.0619%4 Jan
inferno13–6-0.0024%4 Jan
mirage13–90.0022%30 Dec
inferno6–13-0.0517%29 Dec
ancient16–14-0.0133%29 Dec
dust214–16-0.0226%29 Dec
nuke6–13-0.0423%29 Dec
nuke13–7-0.0626%28 Dec
train13–9-0.0116%21 Dec
mirage11–13-0.0417%21 Dec
overpass15–15-0.0127%21 Dec
dust213–8-0.0416%21 Dec
overpass13–60.0426%21 Dec
mirage15–15-0.0127%18 Dec
mirage3–13-0.0610%18 Dec
mirage10–13-0.0610%18 Dec
train5–13-0.0523%18 Dec
ancient8–13-0.048%15 Dec
overpass7–13-0.0233%15 Dec
dust213–10-0.0116%15 Dec
train9–130.0123%15 Dec
dust28–13-0.0329%15 Dec
mirage11–13-0.0420%13 Dec
mirage15–15-0.089%11 Dec
dust211–13-0.0518%11 Dec
nuke13–10-0.0124%8 Dec
mirage13–20.0929%8 Dec
inferno4–13-0.0728%8 Dec
dust211–13-0.0132%8 Dec

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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