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๐•Š๐•™๐•–๐•—๐•œ๐•ž๐•”5

๐•Š๐•™๐•–๐•—๐•œ๐•ž๐•”5 โ€” CS2 Stats

JM76561198066830139[U:1:106564411]Steam profile โ†—โœ“ No bans

1,374Tracked matches40%Win rate2021Tracked since
6,073Hours in CS113Hrs last 2 wks
CSDB Rating3.3 LearningSupport
Premier CS Rating2,317Grey band ยท top ~90.2% of ranked players (population est.)
CSDB Leaderboard#201501 of 251938 tracked
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 2,317 +373 30 Sept โ€“ 14 Oct ยท 15 days played
1,1662,762peak 2,76230 Sept14 Oct
2,831Peak Premier in tracked matches
15Days played since 2026-09-30

Premier CS Rating

  • 445 below peak (2,762)
  • Next: Light Blue band at 5,000 โ€” 2,683 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate33.3%38.2%39.9%6.6% short
Shot accuracy16.2%3.6%7.0%above
Kill/death ratio0.700.830.920.22 short
Match win rate38.0%40.2%42.3%4.2% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue 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•Š๐•™๐•–๐•—๐•œ๐•ž๐•”5PREMIER2,317 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

Aim26
Positioning46
Utility48

0โ€“100 skill scores via Leetify.

Recent form

STEADY44โ€“56Last 10044%Win rateLLWWLWWLWL

Last 10 vs previous 10: +10pp win rate ยท +0.04 avg rating ยท โˆ’2.3pp headshot accuracy ยท +9ms reaction

Win rate +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

  • 2โ€“3 ยท 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 786ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 740ms

Last 20

  • 9โ€“11 ยท 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 735ms

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).

Aim2.6
Utility4.8
Positioning4.6
Opening Duels1.5
Clutch1.0

Effective flashesLimited utility dependence

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

ZywOo

Plays most like ZywOo 60% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Flashes. 0.81 enemies blinded per flash โ€” utility that consistently lands.

Areas to improve

Reaction time. 728ms 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

Aim2.6
Positioning4.6
Utility4.8
Mechanics4.6
Opening Duels4.1
Win Impact1.7

Composite 3.3/10 (Learning), 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 rating-0.03โˆ’0.03
first โ…“ avg 0.01 โ†’ last โ…“ avg -0.03
Reaction time718ms+30ms
first โ…“ avg 688ms โ†’ last โ…“ avg 718ms
Headshot accuracy13.7%+3.2%
first โ…“ avg 10.6% โ†’ last โ…“ avg 13.7%

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

0.17Best match rating ยท 9โ€“2 ยท mirage, 3 Oct โ†’
32%Best headshot accuracy ยท 7โ€“13 ยท dust2, 14 Oct โ†’
492msFastest reaction time ยท 6โ€“13 ยท anubis, 2 Oct โ†’
13โ€“1Biggest win ยท dust2, 11 Oct โ†’

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
5โ€“7In matches decided by โ‰ค2 rounds
7Overtime games

Map breakdown

nukeBest map ยท 67% over 12infernoWeakest map ยท 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2710โ€“1737%-0.02
infernoD155โ€“1033%-0.01
mirageC146โ€“843%0.02
anubisB136โ€“746%0.03
nukeS128โ€“467%-0.01
cacheA95โ€“456%0.01
ancientB84โ€“450%-0.01
trainโ€”10โ€“10%-0.07
overpassโ€”10โ€“10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,996Lifetime kills
0.70K/D
9,458Matches
38.0%Match win rate
33.3%Headshot %
16.2%Shot accuracy ยท Top 10% of Grey band
14,741MVPs
3,018Hours (in match)
9,137Bombs planted
1,040Bombs defused

Most-used weapons

AK-4722,664
M4A4 / M4A1-S13,932
AWP10,396
P2000 / USP-S5,301
MP75,156
Glock-185,143
SSG 084,420
SG 5533,777
Desert Eagle3,604
Galil AR3,186

Lifetime map wins

14,998inferno
7,871dust2
3,598office
2,910nuke
2,210vertigo
2,051train
1,882italy
1,304assault

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

Faceit stats

Combat

65Matches
48%Win rate
0.58Avg K/D
86.0ADR
34%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%0.8916.5
Ancient10%0.448.0
Anubis1100%1.0619.0
Nuke1100%1.2421.0
Inferno10%1.0016.0

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.

14.0%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.4%Spray accuracy
70.6%Counter-strafing
12.3ยฐPreaim
728msReaction time
49.4%T opening success
43.3%CT opening success
0.81Enemies flashed / flash
11.0%Flash assists
13.89HE damage / grenade
3.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3039ยฐ โ€” above the 12ยฐ mark we flag

    Aim Training โ†’
  2. 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 13.9874% โ€” below the 15% mark we flag

    Aim Training โ†’
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one โ€” framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 727.8428ms โ€” above the 700ms mark we flag

    Aim Training โ†’
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.

33% win rate across 15 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
nuke9โ€“13-0.0318%14 Oct โ†’
dust27โ€“130.0132%14 Oct โ†’
cache13โ€“40.058%14 Oct โ†’
mirage16โ€“14-0.007%14 Oct โ†’
inferno4โ€“13-0.0618%14 Oct โ†’
dust213โ€“9-0.0815%14 Oct โ†’
nuke13โ€“50.0614%14 Oct โ†’
dust28โ€“10-0.049%13 Oct โ†’
nuke13โ€“2-0.034%13 Oct โ†’
train0โ€“11-0.0715%13 Oct โ†’
overpass6โ€“13-0.0625%13 Oct โ†’
dust23โ€“13-0.0718%13 Oct โ†’
inferno13โ€“10-0.099%13 Oct โ†’
ancient13โ€“10-0.0315%13 Oct โ†’
anubis8โ€“13-0.055%13 Oct โ†’
mirage5โ€“130.0128%13 Oct โ†’
dust213โ€“8-0.0718%13 Oct โ†’
inferno13โ€“11-0.069%12 Oct โ†’
nuke6โ€“13-0.0710%12 Oct โ†’
dust26โ€“13-0.0926%12 Oct โ†’
cache9โ€“13-0.0513%11 Oct โ†’
dust21โ€“13-0.0914%11 Oct โ†’
ancient2โ€“13-0.0514%11 Oct โ†’
dust213โ€“10.0113%11 Oct โ†’
inferno13โ€“80.0114%11 Oct โ†’
cache11โ€“13-0.033%10 Oct โ†’
inferno5โ€“80.1319%10 Oct โ†’
anubis8โ€“13-0.027%10 Oct โ†’
nuke13โ€“7-0.0116%10 Oct โ†’
mirage10โ€“13-0.0515%10 Oct โ†’
nuke7โ€“13-0.0112%10 Oct โ†’
anubis6โ€“130.0610%10 Oct โ†’
anubis13โ€“7-0.043%9 Oct โ†’
dust25โ€“13-0.0912%9 Oct โ†’
ancient8โ€“00.0323%9 Oct โ†’
anubis13โ€“6-0.0014%9 Oct โ†’
nuke11โ€“13-0.063%9 Oct โ†’
dust28โ€“13-0.0311%8 Oct โ†’
anubis9โ€“130.0714%8 Oct โ†’
dust23โ€“130.008%8 Oct โ†’
cache6โ€“13-0.0016%8 Oct โ†’
inferno3โ€“13-0.067%8 Oct โ†’
mirage13โ€“80.038%8 Oct โ†’
mirage9โ€“13-0.0416%8 Oct โ†’
dust210โ€“130.039%8 Oct โ†’
mirage13โ€“10.0918%7 Oct โ†’
dust27โ€“13-0.0212%7 Oct โ†’
mirage13โ€“100.1110%7 Oct โ†’
ancient9โ€“130.006%7 Oct โ†’
anubis4โ€“130.0615%7 Oct โ†’
nuke13โ€“9-0.0513%7 Oct โ†’
nuke16โ€“13-0.0121%7 Oct โ†’
mirage4โ€“130.038%6 Oct โ†’
nuke13โ€“70.0519%6 Oct โ†’
anubis13โ€“110.068%6 Oct โ†’
dust213โ€“2-0.0115%6 Oct โ†’
dust27โ€“130.0411%6 Oct โ†’
cache13โ€“11-0.0214%6 Oct โ†’
inferno2โ€“13-0.100%6 Oct โ†’
ancient13โ€“90.0410%5 Oct โ†’
dust213โ€“6-0.079%4 Oct โ†’
inferno14โ€“16-0.0113%4 Oct โ†’
dust216โ€“130.0213%4 Oct โ†’
cache13โ€“50.019%4 Oct โ†’
dust213โ€“40.0912%4 Oct โ†’
anubis16โ€“13-0.0010%4 Oct โ†’
nuke13โ€“110.0510%4 Oct โ†’
cache13โ€“70.0911%4 Oct โ†’
inferno13โ€“80.1013%4 Oct โ†’
mirage13โ€“9-0.0214%3 Oct โ†’
dust213โ€“40.0115%3 Oct โ†’
inferno0โ€“8-0.026%3 Oct โ†’
anubis8โ€“00.0514%3 Oct โ†’
mirage9โ€“20.1711%3 Oct โ†’
inferno13โ€“90.0416%3 Oct โ†’
dust213โ€“16-0.0212%3 Oct โ†’
ancient7โ€“13-0.0510%3 Oct โ†’
inferno8โ€“13-0.0014%3 Oct โ†’
dust210โ€“130.037%2 Oct โ†’
cache13โ€“100.006%2 Oct โ†’
dust27โ€“130.026%2 Oct โ†’
inferno2โ€“13-0.035%2 Oct โ†’
cache14โ€“160.0213%2 Oct โ†’
anubis13โ€“20.0816%2 Oct โ†’
dust28โ€“13-0.0913%2 Oct โ†’
dust24โ€“13-0.0123%2 Oct โ†’
anubis6โ€“13-0.002%2 Oct โ†’
dust24โ€“13-0.0213%2 Oct โ†’
ancient13โ€“9-0.006%2 Oct โ†’
nuke13โ€“70.026%1 Oct โ†’
mirage8โ€“13-0.106%1 Oct โ†’
mirage10โ€“130.039%1 Oct โ†’
ancient2โ€“13-0.038%1 Oct โ†’
anubis2โ€“130.0817%1 Oct โ†’
mirage6โ€“13-0.0612%30 Sept โ†’
mirage11โ€“130.059%30 Sept โ†’
inferno11โ€“13-0.037%30 Sept โ†’
inferno7โ€“130.038%30 Sept โ†’
dust213โ€“9-0.0210%30 Sept โ†’
dust211โ€“6-0.0812%30 Sept โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 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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