๐Ÿœฒ $aaki ๐Ÿœฒ

๐Ÿœฒ $aaki ๐Ÿœฒ โ€” CS2 Stats

76561198036227635[U:1:75961907]Steam profile โ†—

1,433Tracked matches39%Win rate2024Tracked since
900Hours in CS
CSDB Rating4.8 DevelopingAggressive Rifler
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Performance scores

Aim73
Positioning54
Utility42

0โ€“100 skill scores via Leetify.

Recent form

STEADY43โ€“53โ€“4Last 10043%Win rateLLWWLTLLWW

Last 10 vs previous 10: +30pp win rate ยท +0.08 avg rating

Player DNA

Primary style: Aggressive Rifler โ€” Takes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression9.0
Utility4.2
Positioning5.4
Opening Duels4.4
Clutch3.6

Strong CT-side opener

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

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

Utility. Utility contribution runs far behind the mechanical game โ€” the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 37% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 670ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

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

Aim7.3
Positioning5.4
Utility4.2
Mechanics5.6
Opening Duels4.4
Win Impact1.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first โ…“ avg 0.04 โ†’ last โ…“ avg 0.04
Reaction time687ms+9ms
first โ…“ avg 678ms โ†’ last โ…“ avg 687ms
Headshot accuracy24.6%+4.5%
first โ…“ avg 20.1% โ†’ last โ…“ avg 24.6%

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

0.30Best rating โ€” nuke 13โ€“0
13โ€“0Biggest win โ€” nuke
4Longest win streak
L2Current streak
4โ€“8In matches decided by โ‰ค2 rounds
1Overtime games

Map breakdown

vertigoBest map ยท 75% over 8infernoWeakest map ยท 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC229โ€“1341%0.03
mirageC145โ€“936%0.01
overpassC135โ€“838%0.02
nukeB126โ€“650%0.07
ancientA116โ€“555%0.05
vertigoS86โ€“275%0.05
dust2D72โ€“529%0.04
infernoD61โ€“517%0.02
anubisโ€”30โ€“30%0.00
trainโ€”21โ€“150%0.05
officeโ€”22โ€“0100%0.08

Across the last 100 tracked matches.

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

Lifetime stats

75,976Lifetime kills
2.12K/D ยท Top 1% of tracked players
2,360Matches
43.2%Match win rate
57.9%Headshot % ยท Top 25% of tracked players
12.1%Shot accuracy ยท Top 50% of tracked players
6,397MVPs
900Hours (in match)
2,004Bombs planted
516Bombs defused

Most-used weapons

AK-4715,949
AWP3,296
Negev3,107
P2503,031
MP72,666
P901,913
MAC-101,662

Lifetime map wins

4,056inferno
3,748dust2
2,876nuke
809vertigo
266train
36office
17italy
10ar_shoots

Lifetime totals via Steam โ€” visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

210Matches
50%Win rate
1.08Avg K/D
78.0ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5951%1.0815.7
Inferno3355%1.1215.8
Nuke3250%1.1615.9
Ancient3060%1.1616.3
Dust22733%0.9014.6
Anubis1662%1.1513.8
Overpass650%1.1019.7
Train250%0.639.0

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

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.

22.7%Headshot accuracy
38.9%Accuracy (enemy spotted)
35.7%Spray accuracy
75.1%Counter-strafing
8.8ยฐPreaim
670msReaction time
36.6%T opening success
58.5%CT opening success
0.48Enemies flashed / flash
4.2%Flash assists
6.40HE damage / grenade
8.66Flashes / 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. 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 0.4826 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  2. 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 36.629% โ€” below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games โ€” your weakest map with enough games to be worth reading into.

Inferno callouts & strategy โ†’Inferno grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
inferno5โ€“13-0.0121%4 Aug โ†’
inferno11โ€“130.0313%23 Jul โ†’
nuke13โ€“00.1295%23 Jul โ†’
nuke13โ€“00.3088%23 Jul โ†’
dust28โ€“130.0315%23 Jul โ†’
ancient12โ€“120.0316%23 Jul โ†’
cache5โ€“130.0419%23 Jul โ†’
dust23โ€“130.0230%22 Jul โ†’
ancient13โ€“100.1811%22 Jul โ†’
mirage13โ€“100.1223%22 Jul โ†’
inferno7โ€“130.1128%22 Jul โ†’
nuke8โ€“130.0632%22 Jul โ†’
overpass6โ€“13-0.0717%22 Jul โ†’
cache7โ€“13-0.0719%22 Jul โ†’
vertigo6โ€“13-0.0713%22 Jul โ†’
cache13โ€“70.0013%15 Jul โ†’
mirage4โ€“13-0.0216%15 Jul โ†’
ancient3โ€“130.0023%15 Jul โ†’
dust210โ€“130.0223%11 Jul โ†’
dust211โ€“130.1219%10 Jul โ†’
overpass13โ€“20.1318%10 Jul โ†’
cache13โ€“80.0716%10 Jul โ†’
cache4โ€“130.0922%9 Jul โ†’
overpass13โ€“100.0416%8 Jul โ†’
cache10โ€“13-0.0625%7 Jul โ†’
ancient7โ€“13-0.0442%7 Jul โ†’
dust213โ€“110.0318%7 Jul โ†’
ancient13โ€“10.1616%6 Jul โ†’
cache12โ€“120.0211%6 Jul โ†’
ancient13โ€“10-0.0117%5 Jul โ†’
mirage6โ€“13-0.0427%5 Jul โ†’
cache13โ€“40.1132%2 Jul โ†’
nuke10โ€“130.0316%2 Jul โ†’
nuke10โ€“130.0116%27 Jun โ†’
nuke9โ€“130.0915%26 Jun โ†’
mirage3โ€“130.0317%26 Jun โ†’
overpass11โ€“130.0429%10 Jun โ†’
nuke11โ€“13-0.0316%9 Jun โ†’
mirage6โ€“13-0.0426%5 Jun โ†’
ancient12โ€“120.0315%5 Jun โ†’
overpass13โ€“5-0.0524%4 Jun โ†’
anubis10โ€“130.0215%25 May โ†’
vertigo13โ€“110.028%24 May โ†’
inferno5โ€“13-0.0023%23 May โ†’
nuke13โ€“70.0320%23 May โ†’
cache4โ€“130.0219%23 May โ†’
mirage2โ€“130.0114%22 May โ†’
overpass7โ€“130.0812%17 May โ†’
vertigo13โ€“50.1614%17 May โ†’
mirage13โ€“9-0.0515%17 May โ†’
mirage8โ€“13-0.0516%16 May โ†’
vertigo13โ€“40.1119%16 May โ†’
nuke13โ€“70.0625%16 May โ†’
overpass5โ€“13-0.0410%16 May โ†’
cache7โ€“130.0816%15 May โ†’
nuke13โ€“40.0711%15 May โ†’
overpass13โ€“160.0415%15 May โ†’
overpass11โ€“13-0.0318%15 May โ†’
vertigo13โ€“50.1226%15 May โ†’
mirage11โ€“130.1020%15 May โ†’
cache0โ€“13-0.0619%15 May โ†’
ancient13โ€“60.089%15 May โ†’
mirage13โ€“60.0529%14 May โ†’
anubis1โ€“12-0.0110%14 May โ†’
cache5โ€“13-0.1019%14 May โ†’
inferno13โ€“50.0119%14 May โ†’
overpass13โ€“50.0332%14 May โ†’
inferno0โ€“13-0.0128%14 May โ†’
cache13โ€“30.2023%14 May โ†’
nuke13โ€“80.1621%14 May โ†’
cache13โ€“11-0.0320%14 May โ†’
overpass9โ€“130.0519%14 May โ†’
ancient6โ€“13-0.0122%14 May โ†’
mirage1โ€“13-0.085%13 May โ†’
train13โ€“3-0.0111%13 May โ†’
dust212โ€“120.0026%13 May โ†’
ancient13โ€“50.0110%13 May โ†’
vertigo13โ€“80.0615%13 May โ†’
mirage13โ€“70.0213%13 May โ†’
vertigo13โ€“60.0520%13 May โ†’
vertigo6โ€“13-0.0616%13 May โ†’
cache13โ€“100.0816%13 May โ†’
dust213โ€“40.039%13 May โ†’
overpass11โ€“130.0517%13 May โ†’
cache5โ€“13-0.0512%13 May โ†’
office13โ€“70.1011%13 May โ†’
office13โ€“40.0522%13 May โ†’
cache11โ€“13-0.0217%12 May โ†’
ancient13โ€“60.1416%12 May โ†’
nuke8โ€“13-0.0119%12 May โ†’
mirage13โ€“60.0518%12 May โ†’
train1โ€“50.1153%12 May โ†’
overpass13โ€“30.0325%12 May โ†’
cache10โ€“13-0.0023%12 May โ†’
anubis7โ€“130.0023%11 May โ†’
cache9โ€“13-0.0118%11 May โ†’
cache6โ€“40.1423%11 May โ†’
cache13โ€“70.1421%10 May โ†’
mirage5โ€“130.0734%10 May โ†’
cache13โ€“100.0738%10 May โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’