๐‘ฑ๐’†๐’”๐’•๐’†๐’“

๐‘ฑ๐’†๐’”๐’•๐’†๐’“ โ€” CS2 Stats

76561199653209733[U:1:1692944005]Steam profile โ†—โœ“ No bans

239Tracked matches60%Win rate2024Tracked since
585Hours in CS2Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating15,837Purple band ยท top ~25.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,837 +2,802 29 Jun โ€“ 16 Oct ยท 39 days played
13,03516,953peak 16,95329 Jun16 Oct
17,291Peak Premier in tracked matches
50Days played since 2026-06-29

Premier CS Rating

  • 1,116 below peak (16,953)
  • +1,777 over 30 days ยท improving
  • +1,438 over 90 days
  • Next: Pink band at 20,000 โ€” 4,163 to go
  • Reached: Purple band ยท Blue band ยท Light Blue band

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 rate49.4%44.4%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.971.031.080.12 short
Match win rate44.5%45.2%46.7%2.2% short

This profile matches the typical Pink band player on 1 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‘ฑ๐’†๐’”๐’•๐’†๐’“PREMIER15,837 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

Aim73
Positioning41
Utility52

0โ€“100 skill scores via Leetify.

Recent form

COLD54โ€“45โ€“1Last 10054%Win rateWLLLWLLWLL

Last 10 vs previous 10: โˆ’50pp win rate ยท +0.01 avg rating ยท โˆ’0.0pp headshot accuracy ยท โˆ’5ms reaction

Win rate down 50pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

Last 10

  • 3โ€“7 ยท 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

Last 20

  • 11โ€“9 ยท 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

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: Support โ€” Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.3
Utility5.2
Positioning4.1
Opening Duels0.8

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

Positioning. Positioning trails aim by 33 points โ€” deaths here waste a strong aim profile.

Reaction time. 584ms 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
Positioning4.1
Utility5.2
Mechanics5.4
Opening Duels2.6
Win Impact8.3

Composite 5.7/10 (Solid), 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-0.01โˆ’0.02
first โ…“ avg 0.01 โ†’ last โ…“ avg -0.01
Reaction time586msโˆ’73ms
first โ…“ avg 659ms โ†’ last โ…“ avg 586ms
Headshot accuracy18.7%โˆ’3.3%
first โ…“ avg 22.0% โ†’ last โ…“ avg 18.7%

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

0.23Best match rating ยท 6โ€“0 ยท ancient, 5 Aug โ†’
64%Best headshot accuracy ยท 6โ€“0 ยท ancient, 5 Aug โ†’
422msFastest reaction time ยท 13โ€“5 ยท ancient, 23 Sept โ†’
13โ€“1Biggest win ยท ancient, 30 Sept โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
8โ€“4In matches decided by โ‰ค2 rounds
9Overtime games

Map breakdown

cacheBest map ยท 83% over 12infernoWeakest map ยท 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2710โ€“1737%0.01
ancientA1811โ€“761%0.01
nukeC167โ€“944%0.01
dust2S1310โ€“377%-0.01
cacheS1210โ€“283%0.02
infernoD72โ€“529%-0.04
anubisB63โ€“350%-0.00
overpassโ€”11โ€“0100%0.01

Across the last 100 tracked matches.

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

Lifetime stats

15,460Lifetime kills
0.97K/D
888Matches
44.5%Match win rate
49.4%Headshot % ยท Top 50% of Purple band
0.0%Shot accuracy
3,014MVPs
337Hours (in match)
360Bombs planted
1,049Bombs defused

Most-used weapons

Lifetime map wins

1,750nuke
997dust2
873inferno
414vertigo
160train
25office
1ar_shoots

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

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.

19.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.4%Spray accuracy
74.5%Counter-strafing
10.0ยฐPreaim
584msReaction time
46.8%T opening success
34.4%CT opening success
0.52Enemies flashed / flash
8.5%Flash assists
6.29HE damage / grenade
7.67Flashes / 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. Advanced Mechanics

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

    CT opening duels 34.3886% 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.

29% win rate across 7 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
anubis13โ€“60.0313%16 Oct โ†’
mirage10โ€“130.0429%14 Oct โ†’
ancient6โ€“130.0014%11 Oct โ†’
nuke3โ€“13-0.0222%11 Oct โ†’
inferno13โ€“70.0428%11 Oct โ†’
ancient7โ€“130.0515%9 Oct โ†’
cache8โ€“13-0.0411%9 Oct โ†’
anubis13โ€“70.0515%7 Oct โ†’
ancient6โ€“13-0.0113%6 Oct โ†’
mirage3โ€“13-0.0221%2 Oct โ†’
ancient13โ€“7-0.0221%2 Oct โ†’
nuke13โ€“11-0.0314%2 Oct โ†’
cache16โ€“140.0335%30 Sept โ†’
ancient13โ€“10.0226%30 Sept โ†’
nuke13โ€“30.020%24 Sept โ†’
dust27โ€“13-0.0717%24 Sept โ†’
cache13โ€“100.0619%23 Sept โ†’
ancient13โ€“50.0613%23 Sept โ†’
inferno10โ€“13-0.0315%23 Sept โ†’
dust213โ€“8-0.0422%23 Sept โ†’
ancient13โ€“5-0.0725%23 Sept โ†’
ancient13โ€“80.0721%23 Sept โ†’
dust213โ€“6-0.0129%23 Sept โ†’
ancient10โ€“13-0.0532%21 Sept โ†’
ancient13โ€“10.0322%21 Sept โ†’
cache14โ€“16-0.0413%21 Sept โ†’
dust213โ€“60.0115%21 Sept โ†’
nuke13โ€“6-0.0118%21 Sept โ†’
anubis13โ€“6-0.0021%17 Sept โ†’
mirage3โ€“13-0.0431%17 Sept โ†’
nuke9โ€“13-0.0216%10 Sept โ†’
inferno8โ€“13-0.054%10 Sept โ†’
anubis2โ€“13-0.119%9 Sept โ†’
mirage13โ€“160.0526%9 Sept โ†’
ancient6โ€“13-0.0220%8 Sept โ†’
ancient13โ€“6-0.0117%7 Sept โ†’
dust213โ€“11-0.0217%5 Sept โ†’
ancient13โ€“40.0229%3 Sept โ†’
nuke12โ€“16-0.0116%2 Sept โ†’
mirage13โ€“3-0.077%2 Sept โ†’
cache13โ€“60.078%1 Sept โ†’
ancient5โ€“13-0.1113%28 Aug โ†’
mirage5โ€“13-0.0514%28 Aug โ†’
mirage8โ€“130.0120%27 Aug โ†’
cache13โ€“4-0.0014%26 Aug โ†’
mirage13โ€“11-0.0520%25 Aug โ†’
nuke9โ€“130.0930%24 Aug โ†’
nuke13โ€“100.0918%24 Aug โ†’
mirage11โ€“13-0.0328%18 Aug โ†’
cache13โ€“90.0219%17 Aug โ†’
nuke9โ€“13-0.0313%17 Aug โ†’
dust213โ€“60.0626%17 Aug โ†’
ancient13โ€“60.0626%16 Aug โ†’
anubis5โ€“130.0227%16 Aug โ†’
nuke13โ€“50.0622%16 Aug โ†’
dust28โ€“13-0.0724%14 Aug โ†’
mirage13โ€“40.0528%13 Aug โ†’
inferno2โ€“13-0.0433%13 Aug โ†’
mirage5โ€“130.0332%12 Aug โ†’
ancient7โ€“13-0.0130%12 Aug โ†’
inferno7โ€“13-0.0330%11 Aug โ†’
cache13โ€“80.0429%10 Aug โ†’
dust28โ€“1-0.0929%10 Aug โ†’
nuke3โ€“130.0510%9 Aug โ†’
mirage5โ€“13-0.0320%9 Aug โ†’
cache13โ€“9-0.0026%9 Aug โ†’
nuke6โ€“13-0.058%8 Aug โ†’
mirage13โ€“9-0.0717%5 Aug โ†’
mirage13โ€“90.0916%5 Aug โ†’
anubis4โ€“13-0.0122%5 Aug โ†’
dust213โ€“8-0.0412%5 Aug โ†’
cache13โ€“80.0214%5 Aug โ†’
mirage1โ€“13-0.1019%5 Aug โ†’
mirage13โ€“30.0615%5 Aug โ†’
ancient6โ€“00.2364%5 Aug โ†’
nuke8โ€“13-0.0528%2 Aug โ†’
dust213โ€“80.0727%2 Aug โ†’
ancient16โ€“140.0218%2 Aug โ†’
mirage7โ€“13-0.0421%27 Jul โ†’
mirage11โ€“13-0.0213%17 Jul โ†’
dust213โ€“9-0.0440%11 Jul โ†’
mirage16โ€“140.0517%10 Jul โ†’
mirage13โ€“16-0.0219%9 Jul โ†’
cache13โ€“30.0511%7 Jul โ†’
cache13โ€“80.0038%7 Jul โ†’
inferno9โ€“50.0230%6 Jul โ†’
inferno0โ€“9-0.220%6 Jul โ†’
mirage7โ€“130.0318%5 Jul โ†’
mirage10โ€“30.0839%5 Jul โ†’
dust213โ€“70.0727%4 Jul โ†’
nuke13โ€“110.0719%4 Jul โ†’
mirage3โ€“130.0222%4 Jul โ†’
nuke11โ€“13-0.0233%4 Jul โ†’
overpass13โ€“100.0121%3 Jul โ†’
nuke16โ€“13-0.0411%3 Jul โ†’
dust215โ€“15-0.0122%2 Jul โ†’
mirage10โ€“130.0222%2 Jul โ†’
mirage13โ€“100.0918%30 Jun โ†’
mirage13โ€“110.0516%29 Jun โ†’
mirage4โ€“120.0418%29 Jun โ†’

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.