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Scooby Jew — CS2 Stats

76561199198883602[U:1:1238617874]

230Tracked matches53%Win rate2026Tracked since
164Hours in CS
CSDB Rating4.0 Developing
Premier CS Rating10,686Blue band · top ~51.3% of ranked players (population est.)
CSDB Leaderboard#20276 of 28127 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate41.9%41.7%44.1%2.2% short
Shot accuracy0.6%8.8%11.4%10.9% short
Kill/death ratio1.280.971.03above
Match win rate50.3%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScooby JewPREMIER10,686 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWLWWLWWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.8
Aggression4.6
Utility4.5
Positioning4.1
Opening Duels2.1

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

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 54% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim3.8
Positioning4.1
Utility4.5
Mechanics4.1
Opening Duels3.0
Win Impact6.1

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time663ms+81ms
first ⅓ avg 581ms → last ⅓ avg 663ms
Headshot accuracy14.0%−3.0%
first ⅓ avg 17.0% → last ⅓ avg 14.0%

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.

Highlights

0.21Best rating — inferno 9–2
13–1Biggest win — inferno
5Longest win streak
11–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 59% over 39mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA3923–1659%0.01
infernoA3420–1459%0.01
vertigoC73–443%0.01
anubisD62–433%-0.00
mirageD51–420%-0.02
ancient—30–30%-0.03
overpass—21–150%0.06
dust2—20–20%-0.07
eldorado—10–10%-0.22
cache—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,438Lifetime kills
1.28K/D · Top 10% of Blue band
479Matches
50.3%Match win rate · Top 10% of Blue band
41.9%Headshot % · Top 50% of Blue band
0.6%Shot accuracy
1,536MVPs
164Hours (in match)
374Bombs planted
112Bombs defused

Most-used weapons

AWP1,974
M4A4 / M4A1-S1,844
AK-471,061
Desert Eagle687
P2000 / USP-S530
Glock-18411
Nova327
XM1014266
Galil AR229
MAG-7226

Lifetime map wins

1,353inferno
834dust2
816nuke
201vertigo
21italy
13train
3office
2cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy
35.6%Accuracy (enemy spotted)
32.1%Spray accuracy
68.4%Counter-strafing
13.8°Preaim
629msReaction time
23.0%T opening success
53.8%CT opening success
0.55Enemies flashed / flash
8.3%Flash assists
2.72HE damage / grenade
9.98Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — 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 13.7743° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.916% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–90.0419%1 Aug →
inferno9–4-0.047%1 Aug →
nuke7–9-0.137%1 Aug →
overpass9–20.183%1 Aug →
nuke9–70.087%1 Aug →
vertigo2–9-0.1133%30 Jul →
nuke9–70.1011%30 Jul →
inferno9–4-0.0013%30 Jul →
vertigo3–13-0.0612%30 Jul →
vertigo5–13-0.0410%29 Jul →
vertigo7–130.086%29 Jul →
vertigo13–90.0019%29 Jul →
vertigo13–70.037%29 Jul →
nuke13–11-0.0323%28 Jul →
nuke13–30.020%28 Jul →
nuke7–9-0.0414%28 Jul →
inferno1–9-0.1917%28 Jul →
nuke10–130.0117%28 Jul →
nuke13–10-0.027%28 Jul →
nuke10–13-0.0211%28 Jul →
nuke8–8-0.0811%28 Jul →
inferno7–9-0.0330%28 Jul →
inferno9–70.0215%28 Jul →
nuke13–110.0221%27 Jul →
nuke13–10-0.0348%27 Jul →
nuke13–60.017%27 Jul →
nuke13–40.0514%27 Jul →
ancient2–13-0.080%27 Jul →
nuke5–130.049%27 Jul →
anubis8–13-0.0517%27 Jul →
nuke13–110.0221%27 Jul →
nuke7–13-0.035%27 Jul →
nuke13–6-0.0222%27 Jul →
nuke10–130.0621%27 Jul →
inferno7–13-0.027%27 Jul →
nuke13–70.0130%26 Jul →
inferno13–1-0.0811%26 Jul →
inferno13–11-0.0013%26 Jul →
nuke8–13-0.0717%26 Jul →
nuke13–110.1218%26 Jul →
inferno11–130.0214%25 Jul →
inferno13–20.068%25 Jul →
nuke5–13-0.0010%25 Jul →
nuke13–100.0516%25 Jul →
nuke13–90.0011%25 Jul →
inferno10–130.0215%25 Jul →
inferno13–110.0419%25 Jul →
inferno1–10-0.0325%25 Jul →
inferno7–2-0.0120%25 Jul →
nuke13–30.026%25 Jul →
nuke13–70.1719%25 Jul →
inferno4–13-0.098%25 Jul →
inferno12–12-0.0219%25 Jul →
inferno13–2-0.0514%24 Jul →
inferno13–90.030%24 Jul →
nuke13–11-0.019%24 Jul →
nuke9–13-0.033%24 Jul →
nuke13–20.0413%24 Jul →
nuke13–10.0711%24 Jul →
mirage6–13-0.1111%24 Jul →
anubis10–13-0.0413%24 Jul →
nuke13–9-0.0017%24 Jul →
inferno13–100.0111%23 Jul →
nuke4–9-0.1011%23 Jul →
inferno9–130.0111%23 Jul →
inferno7–2-0.0711%23 Jul →
inferno10–130.038%23 Jul →
inferno9–20.2050%23 Jul →
nuke11–130.1024%23 Jul →
inferno12–120.034%22 Jul →
overpass3–13-0.0510%22 Jul →
inferno11–13-0.0915%22 Jul →
dust26–13-0.0718%22 Jul →
anubis12–12-0.0716%22 Jul →
inferno9–30.1917%22 Jul →
inferno9–20.210%22 Jul →
vertigo9–10.177%22 Jul →
nuke8–8-0.0110%22 Jul →
inferno8–8-0.075%22 Jul →
nuke9–7-0.0411%22 Jul →
eldorado4–9-0.225%22 Jul →
nuke2–13-0.060%17 Jul →
ancient9–130.0411%10 May →
cache13–90.1314%10 May →
anubis13–40.0913%23 Apr →
dust211–13-0.0716%12 Apr →
inferno9–40.0625%12 Apr →
inferno13–9-0.0619%12 Apr →
nuke13–40.1319%12 Apr →
ancient7–13-0.0422%23 Mar →
mirage2–13-0.0513%23 Mar →
nuke6–13-0.0415%23 Mar →
inferno13–20.0727%23 Mar →
mirage8–130.0223%22 Mar →
anubis13–80.0720%22 Mar →
mirage7–130.0328%22 Mar →
anubis12–12-0.0129%22 Mar →
mirage13–8-0.0126%22 Mar →
inferno13–20.1125%21 Mar →
inferno16–120.0824%20 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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