๐’ฒ๐’ถ๐“๐“๐’ถ๐’ฝ

๐’ฒ๐’ถ๐“๐“๐’ถ๐’ฝ โ€” CS2 Stats

FI76561199423334274[U:1:1463068546]Steam profile โ†—โœ“ No bans

278Tracked matches48%Win rate2024Tracked since
1,594Hours in CS126Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating4,359Grey band ยท top ~81.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). 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: 4,359 +317 20 Jul โ€“ 15 Oct ยท 28 days played
4,0167,718peak 7,71820 Jul15 Oct
7,718Peak Premier in tracked matches
38Days played since 2026-07-19

Premier CS Rating

  • 3,359 below peak (7,718)
  • +290 over 30 days ยท steady
  • +317 over 90 days
  • Next: Light Blue band at 5,000 โ€” 641 to go
  • Reached: 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 Level 3 among CSDB-tracked players (n=10,250), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate39.4%41.8%42.7%3.3% short
Shot accuracy0.0%12.2%11.3%11.2% short
Kill/death ratio0.870.980.990.12 short
Match win rate43.0%43.3%43.9%0.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG๐’ฒ๐’ถ๐“๐“๐’ถ๐’ฝFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,359 ยท Grey 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
Utility45

0โ€“100 skill scores via Leetify.

Recent form

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

Last 10 vs previous 10: 0pp win rate ยท โˆ’0.04 avg rating ยท +0.2pp headshot accuracy ยท +56ms reaction

Win rate 0pp 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

  • 3โ€“2 ยท 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 598ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

Last 20

  • 10โ€“9โ€“1 ยท 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

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 (+1.4 against its own average).

Aim4.6
Utility4.5
Positioning5.6
Opening Duels4.8
Clutch1.8

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

jL

Plays most like jL 72% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

T openings. 66% T opening-duel success โ€” entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 50% on CT โ€” first contacts on the defending side are being lost.

Reaction time. 599ms 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 59% 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
Utility4.5
Mechanics2.1
Opening Duels6.9
Win Impact4.4

Composite 4.2/10 (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 rating0.00+0.02
first โ…“ avg -0.02 โ†’ last โ…“ avg 0.00
Reaction time587msโˆ’24ms
first โ…“ avg 611ms โ†’ last โ…“ avg 587ms
Headshot accuracy16.5%+3.2%
first โ…“ avg 13.3% โ†’ last โ…“ avg 16.5%

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

0.18Best match rating ยท 16โ€“13 ยท ancient, 13 Oct โ†’
29%Best headshot accuracy ยท 13โ€“3 ยท dust2, 22 Aug โ†’
219msFastest reaction time ยท 7โ€“1 ยท mirage, 25 Jul โ†’
13โ€“1Biggest win ยท mirage, 18 Aug โ†’

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
4โ€“7In matches decided by โ‰ค2 rounds
6Overtime games

Map breakdown

nukeBest map ยท 52% over 27infernoWeakest map ยท 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2714โ€“1352%-0.01
mirageC239โ€“1439%-0.00
dust2D175โ€“1229%-0.01
ancientD123โ€“925%-0.00
infernoD92โ€“722%-0.03
anubisB63โ€“350%-0.04
cacheโ€”43โ€“175%-0.03
fachwerkโ€”10โ€“10%0.01
italyโ€”11โ€“0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,150Lifetime kills
0.87K/D
1,674Matches
43.0%Match win rate
39.4%Headshot %
0.0%Shot accuracy
6,270MVPs
627Hours (in match)
1,709Bombs planted
1,560Bombs defused

Most-used weapons

Lifetime map wins

2,479nuke
1,924inferno
1,774dust2
1,079vertigo
85train
68office
61lake
30italy

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

Faceit stats

Combat

32Matches
59%Win rate
1.25Avg K/D
88.1ADR
43%Headshot %

Clutches & streaks

29%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1377%1.2918.1
Dust2743%1.1817.1
Nuke560%1.2617.4
Anubis333%1.3513.7
Vertigo250%0.8212.5
Cache10%1.6024.0
Ancient1100%1.3328.0

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.

16.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.9%Spray accuracy
59.4%Counter-strafing
11.2ยฐPreaim
599msReaction time
65.7%T opening success
49.8%CT opening success
0.55Enemies flashed / flash
4.3%Flash assists
6.77HE damage / grenade
13.90Flashes / match

Recommended for you

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.

22% win rate across 9 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
mirage13โ€“40.0027%15 Oct โ†’
anubis13โ€“2-0.0417%15 Oct โ†’
nuke13โ€“10-0.0216%15 Oct โ†’
dust22โ€“130.0221%15 Oct โ†’
dust210โ€“13-0.0213%14 Oct โ†’
nuke13โ€“110.0914%14 Oct โ†’
mirage3โ€“13-0.0311%14 Oct โ†’
cache13โ€“50.0114%14 Oct โ†’
dust214โ€“160.0223%14 Oct โ†’
mirage8โ€“13-0.0915%14 Oct โ†’
nuke8โ€“80.0618%14 Oct โ†’
inferno5โ€“9-0.029%14 Oct โ†’
nuke13โ€“60.0226%14 Oct โ†’
mirage11โ€“130.0217%14 Oct โ†’
mirage13โ€“90.0410%14 Oct โ†’
dust213โ€“110.0123%13 Oct โ†’
dust28โ€“13-0.0617%13 Oct โ†’
ancient16โ€“130.1812%13 Oct โ†’
mirage13โ€“60.1122%13 Oct โ†’
nuke9โ€“130.0115%13 Oct โ†’
nuke13โ€“90.1123%13 Oct โ†’
dust22โ€“130.0512%12 Oct โ†’
anubis1โ€“13-0.1218%12 Oct โ†’
dust210โ€“13-0.069%12 Oct โ†’
cache13โ€“9-0.0617%12 Oct โ†’
dust210โ€“13-0.0118%12 Oct โ†’
inferno13โ€“7-0.0311%12 Oct โ†’
dust20โ€“13-0.1017%10 Oct โ†’
nuke11โ€“13-0.0722%10 Oct โ†’
nuke15โ€“15-0.0312%9 Oct โ†’
ancient13โ€“100.1111%25 Sept โ†’
inferno5โ€“13-0.0122%25 Sept โ†’
nuke7โ€“130.0313%11 Sept โ†’
nuke13โ€“6-0.0424%11 Sept โ†’
ancient5โ€“13-0.066%11 Sept โ†’
ancient8โ€“13-0.0610%7 Sept โ†’
ancient8โ€“13-0.0610%4 Sept โ†’
nuke13โ€“100.0719%4 Sept โ†’
mirage5โ€“130.0213%30 Aug โ†’
mirage11โ€“13-0.0423%29 Aug โ†’
mirage9โ€“13-0.0720%29 Aug โ†’
inferno1โ€“13-0.0525%29 Aug โ†’
anubis4โ€“13-0.0815%29 Aug โ†’
nuke4โ€“13-0.0516%29 Aug โ†’
nuke13โ€“6-0.118%28 Aug โ†’
anubis13โ€“40.007%25 Aug โ†’
nuke6โ€“13-0.0517%24 Aug โ†’
dust213โ€“3-0.0013%22 Aug โ†’
dust213โ€“30.0329%22 Aug โ†’
mirage1โ€“8-0.0410%21 Aug โ†’
inferno6โ€“13-0.0521%18 Aug โ†’
nuke4โ€“13-0.0611%18 Aug โ†’
dust213โ€“80.0315%18 Aug โ†’
mirage13โ€“10.0425%18 Aug โ†’
mirage13โ€“8-0.1013%15 Aug โ†’
inferno2โ€“13-0.0116%15 Aug โ†’
fachwerk8โ€“130.019%13 Aug โ†’
nuke13โ€“7-0.0113%13 Aug โ†’
mirage8โ€“130.0013%8 Aug โ†’
mirage13โ€“10-0.038%8 Aug โ†’
mirage5โ€“130.0916%7 Aug โ†’
italy13โ€“3-0.0413%6 Aug โ†’
nuke3โ€“9-0.0817%5 Aug โ†’
mirage12โ€“12-0.0410%4 Aug โ†’
nuke8โ€“3-0.038%4 Aug โ†’
ancient14โ€“160.0215%4 Aug โ†’
nuke13โ€“80.044%3 Aug โ†’
ancient4โ€“13-0.089%1 Aug โ†’
mirage13โ€“10.0622%1 Aug โ†’
dust211โ€“13-0.0315%1 Aug โ†’
nuke10โ€“13-0.0313%1 Aug โ†’
ancient15โ€“15-0.059%31 Jul โ†’
dust25โ€“13-0.0114%31 Jul โ†’
mirage6โ€“13-0.0916%30 Jul โ†’
cache2โ€“13-0.1113%29 Jul โ†’
nuke13โ€“60.1114%27 Jul โ†’
dust22โ€“13-0.0220%27 Jul โ†’
inferno2โ€“13-0.0418%26 Jul โ†’
nuke4โ€“13-0.064%26 Jul โ†’
anubis12โ€“12-0.0217%25 Jul โ†’
inferno13โ€“10-0.0112%25 Jul โ†’
mirage7โ€“1-0.030%25 Jul โ†’
nuke13โ€“5-0.0214%24 Jul โ†’
nuke7โ€“13-0.0724%24 Jul โ†’
dust25โ€“130.0120%24 Jul โ†’
mirage6โ€“130.068%24 Jul โ†’
dust213โ€“40.0315%24 Jul โ†’
nuke13โ€“11-0.0815%24 Jul โ†’
ancient11โ€“13-0.039%22 Jul โ†’
ancient5โ€“130.0311%22 Jul โ†’
mirage10โ€“13-0.0010%22 Jul โ†’
mirage12โ€“120.0220%21 Jul โ†’
nuke13โ€“7-0.005%21 Jul โ†’
cache16โ€“140.051%21 Jul โ†’
inferno8โ€“13-0.079%20 Jul โ†’
ancient8โ€“13-0.047%20 Jul โ†’
nuke3โ€“13-0.0219%20 Jul โ†’
mirage13โ€“8-0.0221%20 Jul โ†’
ancient13โ€“50.0216%20 Jul โ†’
anubis12โ€“50.0017%19 Jul 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.