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๐•ฝ๐–Š๐–†๐–•๐–Š๐–—

๐•ฝ๐–Š๐–†๐–•๐–Š๐–— โ€” CS2 Stats

DE76561199109197585[U:1:1148931857]Steam profile โ†—โœ“ No bans

426Tracked matches54%Win rate2023Tracked since
863Hours in CS1Hrs last 2 wks
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating13,987Blue band ยท top ~33.8% of ranked players (population est.)
CSDB Leaderboard#150636 of 247913 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (27 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: 13,987 +549 18 Jul โ€“ 5 Sept ยท 8 days played
13,33715,103peak 15,10318 Jul5 Sept
15,103Peak Premier in tracked matches
30Days played since 2026-07-12

Premier CS Rating

  • 1,116 below peak (15,103)
  • -1,116 over 30 days ยท declining
  • Next: Purple band at 15,000 โ€” 1,013 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.9%41.9%44.3%above
Shot accuracy8.2%9.6%11.9%3.6% short
Kill/death ratio1.150.981.03above
Match win rate47.5%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple 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•ฝ๐–Š๐–†๐–•๐–Š๐–—PREMIER13,987 ยท Blue 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

Aim62
Positioning53
Utility46

0โ€“100 skill scores via Leetify.

Recent form

STEADY43โ€“48โ€“9Last 10043%Win rateLLWLWWWWLW

Last 10 vs previous 10: +30pp win rate ยท +0.04 avg rating ยท +8.0pp headshot accuracy ยท โˆ’106ms reaction

Win rate up 30pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp).

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 509ms

Last 10

  • 6โ€“4 ยท 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 534ms

Last 20

  • 9โ€“10โ€“1 ยท 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 587ms

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: Clutch Specialist โ€” Late-round 1vX conversion stands above the rest of this profile (+1.1 against its own average).

Aim6.2
Utility4.6
Positioning5.3
Opening Duels3.9
Clutch6.0

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

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 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 605ms 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

Aim6.2
Positioning5.3
Utility4.6
Mechanics5.0
Opening Duels3.6
Win Impact6.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first โ…“ avg -0.03 โ†’ last โ…“ avg -0.03
Reaction time635msโˆ’9ms
first โ…“ avg 644ms โ†’ last โ…“ avg 635ms
Headshot accuracy19.3%โˆ’6.6%
first โ…“ avg 25.9% โ†’ last โ…“ avg 19.3%

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

0.25Best match rating ยท 9โ€“6 ยท nuke, 8 Aug โ†’
71%Best headshot accuracy ยท 9โ€“6 ยท poseidon, 25 Jul โ†’
422msFastest reaction time ยท 2โ€“9 ยท inferno, 8 Aug โ†’
13โ€“1Biggest win ยท dust2, 5 Aug โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6โ€“13In matches decided by โ‰ค2 rounds
6Overtime games

Map breakdown

dust2Best map ยท 56% over 9infernoWeakest map ยท 31% over 32
MapGradePlayedRecordWin rateAvg rating
infernoD3210โ€“2231%-0.07
mirageA2212โ€“1055%-0.00
nukeD217โ€“1433%-0.02
dust2A95โ€“456%-0.01
anubisโ€”31โ€“233%-0.03
ancientโ€”33โ€“0100%0.05
vertigoโ€”22โ€“0100%0.09
cacheโ€”21โ€“150%0.10
overpassโ€”20โ€“20%0.01
debrisโ€”20โ€“20%-0.00
eldoradoโ€”11โ€“0100%-0.02
poseidonโ€”11โ€“0100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,206Lifetime kills
1.15K/D ยท Top 25% of Blue band
1,722Matches
47.5%Match win rate ยท Top 25% of Blue band
48.9%Headshot % ยท Top 25% of Blue band
8.2%Shot accuracy
5,354MVPs
423Hours (in match)
1,355Bombs planted
388Bombs defused

Most-used weapons

AK-478,154
M4A4 / M4A1-S4,201
AWP3,775
P2000 / USP-S2,002
Desert Eagle1,816
Glock-181,375
Galil AR996
MP9902
FAMAS666
SSG 08487

Lifetime map wins

2,741inferno
2,554nuke
1,359dust2
1,244vertigo
263cbble
222train
105lake
42office

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

Faceit stats

Combat

12Matches
50%Win rate
1.20Avg K/D
75.0ADR
58%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.9516.7
Dust2250%1.7018.0
Ancient250%1.5220.0
Anubis250%1.1113.0

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.

25.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.5%Spray accuracy
72.6%Counter-strafing
10.6ยฐPreaim
605msReaction time
48.0%T opening success
40.6%CT opening success
0.55Enemies flashed / flash
10.5%Flash assists
7.99HE damage / grenade
7.76Flashes / 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.

31% win rate across 32 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
dust211โ€“13-0.0325%5 Sept โ†’
mirage3โ€“130.0533%5 Sept โ†’
vertigo9โ€“50.1020%5 Sept โ†’
anubis10โ€“13-0.0621%4 Sept โ†’
mirage13โ€“4-0.0450%4 Sept โ†’
mirage25โ€“220.0014%4 Sept โ†’
ancient13โ€“30.0415%4 Sept โ†’
mirage13โ€“80.0529%4 Sept โ†’
mirage10โ€“13-0.0218%4 Sept โ†’
cache13โ€“70.0228%31 Aug โ†’
mirage13โ€“4-0.0037%31 Aug โ†’
anubis13โ€“8-0.0522%31 Aug โ†’
nuke5โ€“9-0.0313%31 Aug โ†’
nuke5โ€“9-0.0211%31 Aug โ†’
nuke1โ€“9-0.298%30 Aug โ†’
mirage11โ€“130.0016%30 Aug โ†’
dust211โ€“13-0.0335%30 Aug โ†’
inferno6โ€“90.058%29 Aug โ†’
inferno9โ€“70.1713%29 Aug โ†’
inferno8โ€“8-0.0711%29 Aug โ†’
overpass5โ€“90.0430%29 Aug โ†’
inferno4โ€“9-0.1121%29 Aug โ†’
mirage7โ€“1-0.0414%29 Aug โ†’
nuke6โ€“9-0.0132%29 Aug โ†’
inferno6โ€“9-0.0620%29 Aug โ†’
inferno7โ€“9-0.134%29 Aug โ†’
nuke4โ€“9-0.0124%29 Aug โ†’
inferno1โ€“9-0.1014%28 Aug โ†’
inferno3โ€“9-0.1814%27 Aug โ†’
inferno8โ€“8-0.018%27 Aug โ†’
inferno9โ€“6-0.0616%26 Aug โ†’
nuke7โ€“90.017%26 Aug โ†’
overpass7โ€“9-0.029%26 Aug โ†’
inferno9โ€“6-0.1144%26 Aug โ†’
nuke7โ€“9-0.1017%25 Aug โ†’
inferno4โ€“9-0.176%25 Aug โ†’
mirage14โ€“160.0129%23 Aug โ†’
dust213โ€“20.0836%23 Aug โ†’
nuke9โ€“5-0.0217%19 Aug โ†’
nuke9โ€“40.0410%17 Aug โ†’
inferno2โ€“9-0.1924%17 Aug โ†’
inferno0โ€“9-0.3020%17 Aug โ†’
nuke6โ€“9-0.0313%15 Aug โ†’
nuke9โ€“40.048%13 Aug โ†’
inferno9โ€“30.036%13 Aug โ†’
inferno9โ€“30.1319%13 Aug โ†’
inferno6โ€“9-0.0020%13 Aug โ†’
inferno2โ€“9-0.280%12 Aug โ†’
inferno8โ€“80.1020%12 Aug โ†’
inferno9โ€“6-0.014%12 Aug โ†’
inferno9โ€“40.1413%11 Aug โ†’
inferno7โ€“90.039%11 Aug โ†’
inferno9โ€“30.1610%11 Aug โ†’
inferno9โ€“7-0.0418%8 Aug โ†’
inferno2โ€“9-0.200%8 Aug โ†’
nuke9โ€“60.2512%8 Aug โ†’
inferno1โ€“9-0.200%8 Aug โ†’
inferno3โ€“9-0.0412%8 Aug โ†’
nuke6โ€“9-0.0616%7 Aug โ†’
vertigo9โ€“40.086%7 Aug โ†’
inferno9โ€“7-0.0619%6 Aug โ†’
debris8โ€“8-0.0010%6 Aug โ†’
ancient13โ€“110.0618%5 Aug โ†’
dust213โ€“10.1025%5 Aug โ†’
mirage13โ€“9-0.0018%5 Aug โ†’
mirage14โ€“160.0728%26 Jul โ†’
dust27โ€“13-0.0339%26 Jul โ†’
eldorado9โ€“7-0.0239%26 Jul โ†’
mirage15โ€“150.0419%26 Jul โ†’
dust213โ€“5-0.0533%26 Jul โ†’
nuke13โ€“100.0324%25 Jul โ†’
mirage15โ€“15-0.0431%25 Jul โ†’
mirage1โ€“13-0.1346%25 Jul โ†’
nuke4โ€“9-0.1528%25 Jul โ†’
poseidon9โ€“60.1271%25 Jul โ†’
debris7โ€“9-0.0022%25 Jul โ†’
inferno8โ€“8-0.1237%25 Jul โ†’
nuke13โ€“9-0.0116%21 Jul โ†’
inferno8โ€“8-0.1319%21 Jul โ†’
nuke2โ€“9-0.2310%21 Jul โ†’
anubis7โ€“130.0122%19 Jul โ†’
mirage5โ€“13-0.0715%19 Jul โ†’
dust24โ€“13-0.0819%18 Jul โ†’
mirage13โ€“80.1133%18 Jul โ†’
inferno0โ€“9-0.350%17 Jul โ†’
nuke11โ€“130.1135%16 Jul โ†’
mirage13โ€“4-0.0419%16 Jul โ†’
mirage13โ€“9-0.0240%15 Jul โ†’
dust213โ€“8-0.0131%15 Jul โ†’
mirage11โ€“13-0.0137%15 Jul โ†’
nuke9โ€“13-0.0325%13 Jul โ†’
nuke7โ€“13-0.0119%13 Jul โ†’
mirage13โ€“100.0723%13 Jul โ†’
cache10โ€“130.1823%12 Jul โ†’
ancient13โ€“60.0415%12 Jul โ†’
dust213โ€“9-0.0619%12 Jul โ†’
nuke13โ€“110.0623%12 Jul โ†’
mirage13โ€“9-0.0129%12 Jul โ†’
mirage16โ€“13-0.0120%12 Jul โ†’
inferno8โ€“8-0.0514%12 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†’

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