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{๐ŸฐK0kaNInChEn๐Ÿฐ}

{๐ŸฐK0kaNInChEn๐Ÿฐ} โ€” CS2 Stats

DE76561198010068897[U:1:49803169]Steam profile โ†—โœ“ No bans

706Tracked matches38%Win rate2021Tracked since
CSDB Rating3.3 LearningAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim47
Positioning35
Utility35

0โ€“100 skill scores via Leetify.

Recent form

STEADY40โ€“54โ€“6Last 10040%Win rateWWLWWLWLWL

Last 10 vs previous 10: +40pp win rate ยท +0.02 avg rating ยท +1.6pp headshot accuracy ยท +29ms reaction

Win rate up 40pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp).

Last 5 ยท 10 ยท 20 matches

Last 5

  • 4โ€“1 ยท 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

Last 10

  • 6โ€“4 ยท 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 574ms

Last 20

  • 8โ€“11โ€“1 ยท 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 560ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder โ€” No style dimension stands clear of the others in this profile.

Aim4.7
Utility3.5
Positioning3.5
Opening Duels2.0

Limited utility dependence

Style profile from tracked-match aggregates โ€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use โ€” so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

Reaction time. 561ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped โ€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.7
Positioning3.5
Utility3.5
Mechanics2.3
Opening Duels2.1
Win Impact1.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02โˆ’0.01
first โ…“ avg -0.01 โ†’ last โ…“ avg -0.02
Reaction time559msโˆ’33ms
first โ…“ avg 593ms โ†’ last โ…“ avg 559ms
Headshot accuracy11.3%โˆ’0.5%
first โ…“ avg 11.8% โ†’ last โ…“ avg 11.3%

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.

Personal bests

0.20Best match rating ยท 13โ€“1 ยท anubis, 4 Sept โ†’
26%Best headshot accuracy ยท 13โ€“4 ยท office, 1 Nov โ†’
383msFastest reaction time ยท 10โ€“13 ยท office, 4 Oct โ†’
13โ€“0Biggest win ยท cache, 13 Sept โ†’

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
2โ€“8In matches decided by โ‰ค2 rounds

Map breakdown

vertigoBest map ยท 45% over 11italyWeakest map ยท 33% over 18
MapGradePlayedRecordWin rateAvg rating
officeC3816โ€“2242%-0.01
italyD186โ€“1233%-0.02
cacheC125โ€“742%-0.01
vertigoB115โ€“645%-0.01
infernoโ€”41โ€“325%-0.04
nukeโ€”41โ€“325%-0.01
anubisโ€”42โ€“250%0.01
dust2โ€”31โ€“233%-0.04
fachwerkโ€”32โ€“167%0.01
shelterโ€”11โ€“0100%-0.01
mirageโ€”10โ€“10%-0.02
overpassโ€”10โ€“10%-0.02

Across the last 100 tracked matches.

Skill profile

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

10.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.7%Spray accuracy
60.3%Counter-strafing
11.2ยฐPreaim
561msReaction time
44.6%T opening success
32.1%CT opening success
0.36Enemies flashed / flash
0.6%Flash assists
8.63HE damage / grenade
2.67Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” 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 โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7139% โ€” below the 15% mark we flag

    Aim Training โ†’
  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 0.3563 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.1134% โ€” below the 40% mark we flag

Spend your practice time on Cache

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

42% win rate across 12 tracked games โ€” your weakest map with enough games to be worth reading into.

Cache callouts & strategy โ†’

Recent matches

MapScoreRatingHS%Date
office13โ€“40.0626%1 Nov โ†’
office13โ€“100.0113%1 Nov โ†’
inferno3โ€“13-0.066%31 Oct โ†’
office13โ€“110.058%31 Oct โ†’
office13โ€“6-0.0114%25 Oct โ†’
italy5โ€“130.0111%25 Oct โ†’
office13โ€“60.0312%25 Oct โ†’
italy11โ€“13-0.065%25 Oct โ†’
cache13โ€“70.0113%25 Oct โ†’
office7โ€“13-0.0412%24 Oct โ†’
shelter6โ€“1-0.0120%24 Oct โ†’
italy11โ€“130.016%24 Oct โ†’
office6โ€“13-0.029%24 Oct โ†’
italy4โ€“13-0.113%20 Oct โ†’
office10โ€“13-0.019%20 Oct โ†’
dust23โ€“13-0.0810%18 Oct โ†’
italy12โ€“12-0.027%18 Oct โ†’
office13โ€“20.056%18 Oct โ†’
italy9โ€“13-0.0517%17 Oct โ†’
office2โ€“130.0215%17 Oct โ†’
nuke10โ€“13-0.009%17 Oct โ†’
anubis1โ€“13-0.046%17 Oct โ†’
office13โ€“5-0.023%17 Oct โ†’
office0โ€“13-0.087%11 Oct โ†’
office7โ€“90.0019%11 Oct โ†’
italy9โ€“13-0.009%11 Oct โ†’
office10โ€“4-0.0615%11 Oct โ†’
office5โ€“13-0.0510%10 Oct โ†’
office13โ€“8-0.0323%7 Oct โ†’
vertigo9โ€“13-0.078%7 Oct โ†’
vertigo8โ€“13-0.009%6 Oct โ†’
office7โ€“130.0023%6 Oct โ†’
cache5โ€“13-0.029%6 Oct โ†’
office10โ€“13-0.0014%4 Oct โ†’
inferno11โ€“13-0.0312%4 Oct โ†’
nuke6โ€“130.0219%4 Oct โ†’
italy6โ€“13-0.0420%4 Oct โ†’
office5โ€“13-0.0114%4 Oct โ†’
anubis9โ€“13-0.117%4 Oct โ†’
inferno13โ€“10-0.018%4 Oct โ†’
cache7โ€“13-0.044%4 Oct โ†’
office11โ€“130.0215%4 Oct โ†’
fachwerk13โ€“90.0912%2 Oct โ†’
office4โ€“13-0.059%2 Oct โ†’
cache8โ€“130.005%2 Oct โ†’
italy13โ€“7-0.017%2 Oct โ†’
office13โ€“8-0.018%2 Oct โ†’
office3โ€“13-0.0113%2 Oct โ†’
fachwerk13โ€“2-0.0114%1 Oct โ†’
office12โ€“12-0.0111%1 Oct โ†’
cache13โ€“8-0.0216%27 Sept โ†’
office13โ€“100.066%26 Sept โ†’
cache7โ€“130.0613%26 Sept โ†’
vertigo13โ€“11-0.048%26 Sept โ†’
office6โ€“130.0111%25 Sept โ†’
italy13โ€“50.029%25 Sept โ†’
vertigo11โ€“130.054%25 Sept โ†’
mirage1โ€“13-0.027%25 Sept โ†’
italy7โ€“12-0.028%20 Sept โ†’
office9โ€“130.019%20 Sept โ†’
dust28โ€“13-0.0522%19 Sept โ†’
office13โ€“50.0612%18 Sept โ†’
italy9โ€“13-0.0510%18 Sept โ†’
vertigo13โ€“20.0315%18 Sept โ†’
cache13โ€“100.0114%18 Sept โ†’
nuke13โ€“9-0.059%17 Sept โ†’
vertigo5โ€“13-0.049%15 Sept โ†’
italy13โ€“100.0215%15 Sept โ†’
office13โ€“90.0613%15 Sept โ†’
vertigo13โ€“8-0.018%13 Sept โ†’
italy11โ€“13-0.0212%13 Sept โ†’
office12โ€“12-0.037%13 Sept โ†’
cache13โ€“00.0114%13 Sept โ†’
inferno8โ€“13-0.0610%13 Sept โ†’
italy11โ€“130.0110%12 Sept โ†’
office2โ€“13-0.0912%12 Sept โ†’
cache10โ€“13-0.0412%12 Sept โ†’
overpass8โ€“13-0.0212%12 Sept โ†’
office12โ€“12-0.068%11 Sept โ†’
fachwerk6โ€“13-0.0513%11 Sept โ†’
vertigo8โ€“130.0211%11 Sept โ†’
cache10โ€“13-0.0113%11 Sept โ†’
office13โ€“3-0.0513%6 Sept โ†’
italy13โ€“70.018%6 Sept โ†’
vertigo13โ€“80.059%6 Sept โ†’
vertigo13โ€“3-0.049%5 Sept โ†’
dust213โ€“30.029%5 Sept โ†’
cache13โ€“9-0.0821%5 Sept โ†’
anubis13โ€“4-0.039%5 Sept โ†’
cache5โ€“13-0.0518%5 Sept โ†’
italy6โ€“2-0.0213%5 Sept โ†’
office13โ€“00.0821%4 Sept โ†’
office9โ€“13-0.0110%4 Sept โ†’
nuke3โ€“13-0.0110%4 Sept โ†’
anubis13โ€“10.2014%4 Sept โ†’
office8โ€“13-0.0415%4 Sept โ†’
italy12โ€“120.018%4 Sept โ†’
office5โ€“13-0.114%4 Sept โ†’
office13โ€“40.0212%1 Sept โ†’
vertigo12โ€“12-0.0115%1 Sept โ†’

Match data via Leetify.

Recent teammates

Milestones

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

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