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๐“€˜ โ€” CS2 Stats

SE76561198060570327[U:1:100304599]Steam profile โ†—โœ“ No bans

834Tracked matches66%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating24,245Top 25% of 204,316 CSDB-tracked playersPink band ยท top ~3.8% of ranked players (population est.)
CSDB Leaderboard#29011 of 251427 tracked
FaceitLevel 7 ยท 1,113 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (16 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: 24,245 +753 23 Jun โ€“ 27 Sept ยท 13 days played
20,61224,245peak 24,24523 Jun27 Sept
24,245Peak Premier in tracked matches
1,113Highest Faceit ELO seen on CSDB
34Days played since 2026-06-22

Faceit ELO

  • At peak โ€” 1,113
  • Next: Level 6 at 1,201 โ€” 88 to go
  • Reached: Level 5 ยท Level 4 ยท Level 3 ยท Level 2

Premier CS Rating

  • At peak โ€” 24,245
  • +251 over 30 days ยท steady
  • +464 over 90 days
  • Next: Red band at 25,000 โ€” 755 to go
  • Reached: Pink band ยท 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.

Share this profile

CSDB.GG๐“€˜FACEITLevel 7 ยท 1,113 ELOSTANDINGTop 42.3% of rankedPREMIER24,245 ยท Pink bandPEAK ELO1,113csdb.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

Aim84
Positioning52
Utility46

0โ€“100 skill scores via Leetify.

Recent form

STEADY58โ€“39โ€“3Last 10058%Win rateWWWLWWTTLL

Last 10 vs previous 10: โˆ’10pp win rate ยท +0.00 avg rating ยท โˆ’7.6pp headshot accuracy ยท +21ms reaction

Win rate โˆ’10pp across the last 10 against the 10 before โ€” within the normal variation of a 10-match window (ยฑ20pp), so no real shift yet.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 4โ€“1 ยท 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 570ms

Last 10

  • 5โ€“3โ€“2 ยท 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 553ms

Last 20

  • 11โ€“7โ€“2 ยท 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 543ms

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: Positional Player โ€” Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.4
Utility4.6
Positioning5.2
Opening Duels2.0
Clutch3.8

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 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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 31 points โ€” deaths here waste a strong aim profile.

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

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

Aim8.4
Positioning5.2
Utility4.6
Mechanics6.7
Opening Duels2.6
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (ร—1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first โ…“ avg -0.01 โ†’ last โ…“ avg 0.00
Reaction time560msโˆ’24ms
first โ…“ avg 584ms โ†’ last โ…“ avg 560ms
Headshot accuracy22.9%+2.1%
first โ…“ avg 20.8% โ†’ last โ…“ avg 22.9%

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 9โ€“4 ยท vertigo, 20 Aug โ†’
47%Best headshot accuracy ยท 5โ€“13 ยท inferno, 22 Sept โ†’
359msFastest reaction time ยท 0โ€“13 ยท inferno, 3 Oct โ†’
13โ€“1Biggest win ยท inferno, 28 Jul โ†’

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
15โ€“11In matches decided by โ‰ค2 rounds
9Overtime games

Map breakdown

cacheBest map ยท 73% over 15anubisWeakest map ยท 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2715โ€“1256%0.01
nukeS2014โ€“670%-0.01
cacheS1511โ€“473%-0.01
mirageB136โ€“746%-0.03
anubisC125โ€“742%0.01
ancientB63โ€“350%0.00
vertigoโ€”32โ€“167%0.02
trainโ€”11โ€“0100%-0.01
debrisโ€”10โ€“10%-0.03
boulderโ€”10โ€“10%-0.05
dust2โ€”11โ€“0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

491Matches
53%Win rate
1.11Avg K/D
77.3ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke3956%1.1014.8
Inferno3847%1.1716.6
Mirage3253%1.2715.5
Ancient2654%1.0916.4
Cache1753%0.9613.8
Anubis1118%0.9613.2
Overpass1070%1.1617.8
Train540%1.6220.8

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.

22.4%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.5%Spray accuracy
80.0%Counter-strafing
8.3ยฐPreaim
549msReaction time
37.7%T opening success
43.3%CT opening success
0.37Enemies flashed / flash
5.5%Flash assists
8.43HE damage / grenade
5.91Flashes / 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 0.3676 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 37.6672% โ€” below the 40% mark we flag

Spend your practice time on Anubis

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.

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

Recent matches

MapScoreRatingHS%Date
train13โ€“9-0.0126%12 Oct โ†’
vertigo13โ€“10-0.0215%4 Oct โ†’
inferno13โ€“100.0515%4 Oct โ†’
cache11โ€“13-0.0415%3 Oct โ†’
nuke13โ€“40.0914%3 Oct โ†’
cache13โ€“110.0514%3 Oct โ†’
anubis12โ€“12-0.0115%3 Oct โ†’
vertigo8โ€“8-0.1014%3 Oct โ†’
debris5โ€“9-0.0313%3 Oct โ†’
inferno0โ€“13-0.0729%3 Oct โ†’
cache13โ€“11-0.0312%3 Oct โ†’
inferno5โ€“13-0.0120%3 Oct โ†’
nuke13โ€“90.0626%3 Oct โ†’
inferno16โ€“13-0.0712%28 Sept โ†’
anubis13โ€“3-0.0444%27 Sept โ†’
cache13โ€“11-0.0033%26 Sept โ†’
inferno9โ€“130.0024%26 Sept โ†’
nuke11โ€“13-0.0333%22 Sept โ†’
inferno5โ€“13-0.0317%22 Sept โ†’
mirage13โ€“60.0228%22 Sept โ†’
inferno5โ€“13-0.0247%22 Sept โ†’
nuke13โ€“40.0422%22 Sept โ†’
cache13โ€“40.0032%21 Sept โ†’
inferno13โ€“50.0644%21 Sept โ†’
nuke9โ€“130.0421%21 Sept โ†’
nuke13โ€“90.0622%21 Sept โ†’
mirage13โ€“50.0235%21 Sept โ†’
cache13โ€“90.0220%21 Sept โ†’
nuke13โ€“4-0.0116%21 Sept โ†’
inferno13โ€“90.0213%17 Sept โ†’
anubis8โ€“130.0113%16 Sept โ†’
ancient10โ€“130.0418%16 Sept โ†’
inferno13โ€“50.0232%16 Sept โ†’
cache13โ€“9-0.0314%16 Sept โ†’
nuke10โ€“130.0215%16 Sept โ†’
mirage13โ€“11-0.0134%14 Sept โ†’
inferno7โ€“13-0.0729%2 Sept โ†’
cache13โ€“30.0618%24 Aug โ†’
anubis13โ€“50.0224%24 Aug โ†’
nuke13โ€“80.0521%24 Aug โ†’
cache4โ€“13-0.1121%24 Aug โ†’
mirage13โ€“11-0.0116%21 Aug โ†’
nuke13โ€“5-0.0315%21 Aug โ†’
inferno10โ€“130.0218%21 Aug โ†’
ancient15โ€“15-0.0523%20 Aug โ†’
mirage13โ€“10-0.036%20 Aug โ†’
vertigo9โ€“40.2015%20 Aug โ†’
mirage7โ€“13-0.0813%13 Aug โ†’
nuke13โ€“7-0.0322%9 Aug โ†’
ancient13โ€“11-0.0429%8 Aug โ†’
boulder11โ€“13-0.0516%8 Aug โ†’
inferno9โ€“70.1432%8 Aug โ†’
anubis8โ€“130.0211%8 Aug โ†’
ancient0โ€“11-0.0429%8 Aug โ†’
ancient16โ€“140.0425%8 Aug โ†’
cache8โ€“130.0224%8 Aug โ†’
inferno13โ€“80.0616%3 Aug โ†’
dust213โ€“110.0228%2 Aug โ†’
inferno12โ€“2-0.0020%2 Aug โ†’
anubis4โ€“13-0.069%2 Aug โ†’
inferno11โ€“130.0225%2 Aug โ†’
cache4โ€“13-0.0226%1 Aug โ†’
inferno13โ€“6-0.0413%1 Aug โ†’
inferno13โ€“70.0520%1 Aug โ†’
mirage9โ€“13-0.0745%31 Jul โ†’
nuke16โ€“12-0.0314%31 Jul โ†’
mirage11โ€“13-0.0614%31 Jul โ†’
nuke13โ€“11-0.0519%31 Jul โ†’
anubis9โ€“130.0829%30 Jul โ†’
nuke11โ€“13-0.0518%28 Jul โ†’
inferno7โ€“13-0.0011%28 Jul โ†’
inferno13โ€“10.0321%28 Jul โ†’
nuke0โ€“9-0.2011%28 Jul โ†’
ancient13โ€“40.0715%22 Jul โ†’
nuke9โ€“7-0.0320%22 Jul โ†’
nuke16โ€“140.0124%20 Jul โ†’
mirage11โ€“13-0.0919%20 Jul โ†’
cache13โ€“9-0.0835%20 Jul โ†’
nuke13โ€“16-0.0022%12 Jul โ†’
mirage11โ€“13-0.0123%12 Jul โ†’
mirage13โ€“110.0118%12 Jul โ†’
anubis13โ€“90.0115%12 Jul โ†’
anubis16โ€“140.0121%12 Jul โ†’
anubis14โ€“160.0427%11 Jul โ†’
mirage10โ€“13-0.0612%30 Jun โ†’
inferno7โ€“9-0.0224%27 Jun โ†’
inferno9โ€“40.1020%27 Jun โ†’
nuke13โ€“8-0.0420%25 Jun โ†’
cache16โ€“130.0315%24 Jun โ†’
inferno6โ€“13-0.0213%24 Jun โ†’
inferno11โ€“13-0.0222%24 Jun โ†’
inferno9โ€“4-0.0120%24 Jun โ†’
anubis7โ€“130.0225%23 Jun โ†’
mirage10โ€“13-0.0220%23 Jun โ†’
anubis13โ€“40.0420%22 Jun โ†’
nuke13โ€“9-0.0424%22 Jun โ†’
inferno13โ€“10.0144%22 Jun โ†’
cache13โ€“11-0.0517%22 Jun โ†’
cache13โ€“70.0824%22 Jun โ†’
inferno13โ€“9-0.0518%22 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†’

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