๐•ฐ๐–‘ ๐•ญ๐–†๐–Ž๐–‹๐–”

๐•ฐ๐–‘ ๐•ญ๐–†๐–Ž๐–‹๐–” โ€” CS2 Stats

JP76561199862781971[U:1:1902516243]Steam profile โ†—

760Tracked matches77%Win rate2025Tracked since
572Hours in CS3Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating17,915Purple band ยท top ~16.8% of ranked players (population est.)
CSDB Leaderboard#22517 of 45523 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate40.6%44.2%47.1%6.4% short
Shot accuracy0.1%11.6%12.8%12.8% short
Kill/death ratio1.271.031.08above
Match win rate48.2%45.2%46.6%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG๐•ฐ๐–‘ ๐•ญ๐–†๐–Ž๐–‹๐–”PREMIER17,915 ยท Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim46
Positioning56
Utility53

0โ€“100 skill scores via Leetify.

Recent form

STEADY60โ€“36โ€“4Last 10060%Win rateTWWLWLWWLL

Last 10 vs previous 10: -20pp win rate ยท +0.07 avg rating

Player DNA

Aim4.6
Aggression6.1
Utility5.3
Positioning5.6
Opening Duels2.3
Clutch0.0

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

Twistzz

Plays most like Twistzz 86% 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 โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 30% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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 63% 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

Aim4.6
Positioning5.6
Utility5.3
Mechanics2.9
Opening Duels2.4
Win Impact10.0

Composite 5.0/10 (Developing), 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 rating0.03+0.03
first โ…“ avg -0.00 โ†’ last โ…“ avg 0.03
Reaction time599msโˆ’14ms
first โ…“ avg 613ms โ†’ last โ…“ avg 599ms
Headshot accuracy15.1%+1.4%
first โ…“ avg 13.7% โ†’ last โ…“ avg 15.1%

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

0.29Best rating โ€” cache 10โ€“1
13โ€“0Biggest win โ€” inferno
8Longest win streak
12โ€“9In matches decided by โ‰ค2 rounds
3Overtime games

Map breakdown

cacheBest map ยท 86% over 14infernoWeakest map ยท 52% over 50
MapGradePlayedRecordWin rateAvg rating
infernoB5026โ€“2452%0.03
cacheS1412โ€“286%0.05
mirageA116โ€“555%0.01
ancientS76โ€“186%-0.00
dust2S64โ€“267%0.00
anubisS54โ€“180%0.00
nukeโ€”41โ€“325%0.02
overpassโ€”21โ€“150%-0.07
trainโ€”10โ€“10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (52% over 50). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,713Lifetime kills
1.27K/D ยท Top 25% of Purple band
1,050Matches
48.2%Match win rate ยท Top 50% of Purple band
40.6%Headshot %
0.1%Shot accuracy
3,861MVPs
260Hours (in match)
1,111Bombs planted
308Bombs defused

Most-used weapons

Lifetime map wins

3,503inferno
725nuke
610dust2
281train
46vertigo
21office
3cbble
1ar_shoots

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

Faceit stats

Combat

12Matches
42%Win rate
0.98Avg K/D
79.5ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2425%0.9212.3
Mirage333%1.0416.3
Inferno2100%1.2818.5
Nuke250%0.9818.0
Overpass10%0.397.0

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.

12.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.0%Spray accuracy
63.3%Counter-strafing
11.5ยฐPreaim
613msReaction time
29.8%T opening success
48.9%CT opening success
0.62Enemies flashed / flash
6.0%Flash assists
7.62HE damage / grenade
6.74Flashes / 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 12.694% โ€” below the 15% mark we flag

    Aim Training 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 29.8257% โ€” below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno8โ€“80.0113%30 Aug โ†’
inferno9โ€“20.184%19 Aug โ†’
inferno9โ€“30.1824%19 Aug โ†’
inferno2โ€“13-0.0530%19 Aug โ†’
anubis13โ€“5-0.0511%19 Aug โ†’
anubis0โ€“2-0.030%19 Aug โ†’
inferno9โ€“30.2415%19 Aug โ†’
inferno9โ€“20.0814%19 Aug โ†’
cache9โ€“13-0.0217%17 Aug โ†’
inferno2โ€“9-0.0719%17 Aug โ†’
inferno8โ€“80.0518%11 Aug โ†’
inferno3โ€“9-0.1019%11 Aug โ†’
cache13โ€“9-0.0310%10 Aug โ†’
dust213โ€“90.0412%10 Aug โ†’
inferno13โ€“70.0312%10 Aug โ†’
ancient13โ€“11-0.0212%10 Aug โ†’
mirage13โ€“11-0.0310%10 Aug โ†’
dust213โ€“110.0116%10 Aug โ†’
inferno5โ€“9-0.1212%10 Aug โ†’
dust213โ€“110.008%9 Aug โ†’
inferno9โ€“4-0.0838%9 Aug โ†’
cache13โ€“8-0.0614%8 Aug โ†’
anubis13โ€“50.0610%8 Aug โ†’
ancient13โ€“11-0.0316%8 Aug โ†’
nuke9โ€“13-0.029%8 Aug โ†’
cache13โ€“60.0312%8 Aug โ†’
inferno9โ€“20.2227%8 Aug โ†’
cache5โ€“13-0.0114%6 Aug โ†’
inferno4โ€“9-0.0223%6 Aug โ†’
cache13โ€“80.1225%6 Aug โ†’
train8โ€“130.039%6 Aug โ†’
cache10โ€“10.2921%6 Aug โ†’
mirage13โ€“60.146%6 Aug โ†’
inferno1โ€“9-0.187%5 Aug โ†’
inferno9โ€“30.2919%5 Aug โ†’
mirage13โ€“8-0.0710%4 Aug โ†’
inferno9โ€“70.1018%4 Aug โ†’
cache13โ€“90.017%4 Aug โ†’
ancient13โ€“60.0211%4 Aug โ†’
inferno9โ€“5-0.0616%4 Aug โ†’
inferno13โ€“8-0.048%3 Aug โ†’
mirage13โ€“9-0.0318%3 Aug โ†’
inferno14โ€“160.0816%3 Aug โ†’
nuke7โ€“90.1317%3 Aug โ†’
anubis13โ€“110.0315%2 Aug โ†’
inferno13โ€“100.014%2 Aug โ†’
cache10โ€“10.0313%2 Aug โ†’
nuke13โ€“60.009%2 Aug โ†’
mirage13โ€“100.0216%2 Aug โ†’
inferno9โ€“50.0613%2 Aug โ†’
cache13โ€“80.149%2 Aug โ†’
inferno8โ€“80.0015%2 Aug โ†’
inferno9โ€“60.249%2 Aug โ†’
mirage9โ€“130.0913%27 Jul โ†’
cache16โ€“130.1010%27 Jul โ†’
inferno7โ€“90.0511%27 Jul โ†’
inferno9โ€“70.1621%26 Jul โ†’
mirage11โ€“13-0.026%21 Jul โ†’
inferno10โ€“130.0417%20 Jul โ†’
inferno9โ€“70.0211%20 Jul โ†’
inferno14โ€“16-0.0013%19 Jul โ†’
dust23โ€“13-0.037%19 Jul โ†’
cache13โ€“40.0617%18 Jul โ†’
inferno9โ€“50.0911%18 Jul โ†’
mirage2โ€“13-0.0011%18 Jul โ†’
ancient11โ€“13-0.013%18 Jul โ†’
inferno7โ€“130.0410%18 Jul โ†’
inferno7โ€“9-0.0912%18 Jul โ†’
inferno1โ€“9-0.1518%17 Jul โ†’
inferno1โ€“9-0.2319%16 Jul โ†’
inferno9โ€“70.0915%16 Jul โ†’
inferno1โ€“9-0.256%15 Jul โ†’
ancient13โ€“70.029%13 Jul โ†’
cache13โ€“70.049%13 Jul โ†’
inferno8โ€“8-0.0212%13 Jul โ†’
inferno9โ€“50.0427%11 Jul โ†’
dust210โ€“130.0412%8 Jul โ†’
inferno4โ€“9-0.0415%8 Jul โ†’
cache13โ€“70.0319%8 Jul โ†’
inferno13โ€“00.1315%7 Jul โ†’
inferno9โ€“70.0914%7 Jul โ†’
overpass13โ€“8-0.0712%5 Jul โ†’
ancient13โ€“40.0115%5 Jul โ†’
inferno6โ€“9-0.0219%5 Jul โ†’
inferno13โ€“70.0513%2 Jul โ†’
inferno9โ€“4-0.099%2 Jul โ†’
inferno4โ€“130.0512%1 Jul โ†’
inferno9โ€“60.1320%1 Jul โ†’
mirage6โ€“130.058%29 Jun โ†’
inferno7โ€“9-0.0210%29 Jun โ†’
inferno9โ€“60.1514%29 Jun โ†’
inferno10โ€“130.0119%29 Jun โ†’
dust213โ€“10-0.066%29 Jun โ†’
anubis13โ€“80.016%29 Jun โ†’
inferno9โ€“70.0820%29 Jun โ†’
ancient13โ€“10-0.0114%28 Jun โ†’
overpass8โ€“13-0.0610%28 Jun โ†’
mirage13โ€“90.0118%28 Jun โ†’
nuke10โ€“13-0.0113%28 Jun โ†’
mirage9โ€“13-0.0315%28 Jun 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†’