JMouse — CS2 Stats

76561199014021531[U:1:1053755803]

636Tracked matches38%Win rate2022Tracked since
735Hours in CS1Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating14,884Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#22210 of 35588 tracked
WingmanMaster Guardian I
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 rate45.2%41.7%44.1%above
Shot accuracy8.7%8.8%11.4%2.8% short
Kill/death ratio0.870.971.030.16 short
Match win rate44.9%43.8%45.2%meets

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.

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CSDB.GGJMousePREMIER14,884 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning49
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY414910Last 10041%Win rateTWWLLWLWWW

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

Player DNA

Aim4.6
Aggression3.8
Utility4.2
Positioning4.9
Opening Duels1.3
Clutch2.0

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 81% playstyle similarity

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

Where you differ: lower utility contribution; 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 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 699ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.6
Positioning4.9
Utility4.2
Mechanics5.1
Opening Duels1.9
Win Impact1.2

Composite 3.9/10 (Learning), 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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time670ms−19ms
first ⅓ avg 689ms → last ⅓ avg 670ms
Headshot accuracy20.5%+0.4%
first ⅓ avg 20.1% → last ⅓ avg 20.5%

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.

Highlights

0.23Best rating — inferno 9–2
132Biggest win — dust2
3Longest win streak
75In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 57% over 14cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C54233143%-0.01
infernoA148657%0.01
mirageD93633%-0.01
cacheD82625%-0.02
vertigoC52340%-0.05
nukeC52340%-0.00
ancient21150%-0.02
overpass2020%-0.05
anubis1010%0.02

Across the last 100 tracked matches.

Lifetime stats

15,746Lifetime kills
0.87K/D
1,108Matches
44.9%Match win rate · Top 50% of Blue band
45.2%Headshot % · Top 50% of Blue band
8.7%Shot accuracy
2,312MVPs
360Hours (in match)
612Bombs planted
180Bombs defused

Most-used weapons

Lifetime map wins

2,862dust2
1,203inferno
939nuke
417vertigo
194train
41lake
39office
28safehouse

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

Faceit stats

Combat

34Matches
50%Win rate
0.78Avg K/D
66.1ADR
46%Headshot %

Clutches & streaks

30%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2944%0.7612.4
Mirage683%1.0411.2
Anubis425%0.659.8
Ancient450%0.8013.5
Nuke30%0.9921.3
Inferno367%0.8310.3
Cache2100%0.5514.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

21.4%Headshot accuracy
30.1%Accuracy (enemy spotted)
30.5%Spray accuracy
73.1%Counter-strafing
10.0°Preaim
699msReaction time
24.7%T opening success
45.3%CT opening success
0.59Enemies flashed / flash
2.8%Flash assists
7.52HE damage / grenade
7.95Flashes / 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

    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 24.7375% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0113%20 Aug
dust213–9-0.0426%1 Jul
dust213–50.0231%1 Jul
vertigo7–9-0.105%1 Jul
inferno4–9-0.0814%29 Jun
vertigo9–30.0829%29 Jun
vertigo5–9-0.1516%17 Jun
inferno9–00.1128%17 Jun
inferno9–7-0.0424%13 Jun
inferno9–20.2316%13 Jun
inferno5–9-0.1524%13 Jun
vertigo9–4-0.0425%13 Jun
ancient10–13-0.0413%30 May
dust29–13-0.0624%13 May
dust213–40.0120%13 May
dust29–2-0.0211%13 May
inferno13–30.0218%10 May
dust212–12-0.0916%8 May
dust26–130.0225%6 May
nuke9–10.1129%3 May
inferno9–30.0227%3 May
inferno9–60.0411%3 May
inferno7–9-0.1211%3 May
inferno8–80.092%3 May
nuke6–130.0130%2 May
cache6–13-0.0129%2 May
cache7–13-0.0415%2 May
cache12–12-0.0325%1 May
nuke9–13-0.0218%30 Apr
mirage0–6-0.0927%29 Apr
dust213–11-0.0335%29 Apr
cache10–13-0.0422%29 Apr
cache13–9-0.0119%29 Apr
cache5–13-0.0821%29 Apr
cache13–40.0320%29 Apr
cache8–130.0216%29 Apr
dust24–13-0.0823%26 Apr
dust213–6-0.0317%26 Apr
dust24–13-0.0530%25 Apr
dust213–7-0.0326%25 Apr
dust25–13-0.0314%25 Apr
dust212–12-0.0124%25 Apr
dust211–13-0.0312%25 Apr
dust24–13-0.0024%25 Apr
dust213–110.0123%23 Apr
dust213–90.0426%23 Apr
dust24–20.1431%23 Apr
dust212–120.0117%23 Apr
dust212–12-0.0334%23 Apr
inferno4–9-0.145%23 Apr
inferno9–5-0.0123%23 Apr
inferno9–40.1616%23 Apr
vertigo8–8-0.0513%23 Apr
anubis5–130.0217%23 Apr
dust213–90.0118%23 Apr
mirage13–7-0.0313%23 Apr
dust20–2-0.020%23 Apr
dust28–13-0.0327%23 Apr
mirage6–13-0.0521%23 Apr
dust210–130.0021%23 Apr
mirage10–130.0324%22 Apr
dust212–120.0417%22 Apr
mirage13–3-0.027%22 Apr
dust22–13-0.0428%22 Apr
dust213–8-0.0413%22 Apr
dust27–13-0.0515%22 Apr
dust213–7-0.0117%22 Apr
dust213–30.0322%22 Apr
inferno5–9-0.0711%22 Apr
dust28–130.0327%22 Apr
dust24–130.0330%22 Apr
dust213–10-0.0614%22 Apr
dust213–90.0214%21 Apr
dust28–130.0215%21 Apr
dust213–10-0.0619%21 Apr
dust213–2-0.040%20 Apr
dust20–30.0457%20 Apr
dust25–130.0015%18 Apr
dust210–13-0.0011%18 Apr
dust25–13-0.0721%18 Apr
dust213–10-0.0728%18 Apr
dust212–12-0.0510%18 Apr
dust29–6-0.0022%18 Apr
dust26–130.1219%18 Apr
dust26–13-0.0912%18 Apr
dust29–130.0619%18 Apr
overpass10–13-0.0320%18 Apr
dust213–60.0323%17 Apr
dust213–110.0921%17 Apr
dust29–13-0.0327%17 Apr
mirage9–13-0.0118%17 Apr
ancient13–7-0.0124%17 Apr
dust216–14-0.0026%14 Apr
nuke6–13-0.0426%14 Apr
mirage13–11-0.0015%10 Apr
nuke13–8-0.0622%10 Apr
overpass8–13-0.088%10 Apr
mirage6–130.0421%10 Apr
dust27–130.0125%10 Apr
mirage14–160.0121%9 Apr

Match data via Leetify.

Recent teammates

Milestones

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