jms -iwnl-

jms -iwnl- — CS2 Stats

76561198091708240[U:1:131442512]Steam profile ↗

385Tracked matches64%Win rate2020Tracked since
1,210Hours in CS7Hrs last 2 wks
CSDB Rating6.7 SolidAggressive Rifler
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim74
Positioning55
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY53416Last 10053%Win rateWLWWTWWLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression7.4
Utility6.4
Positioning5.5
Opening Duels3.3

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

b1t

Plays most like b1t 91% playstyle similarity

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

Where you differ: 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

Reaction time. 582ms 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

Aim7.4
Positioning5.5
Utility6.4
Mechanics7.2
Opening Duels3.3
Win Impact9.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time577ms−44ms
first ⅓ avg 621ms → last ⅓ avg 577ms
Headshot accuracy23.1%−1.4%
first ⅓ avg 24.5% → last ⅓ avg 23.1%

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

0.14Best rating — vertigo 13–4
131Biggest win — vertigo
5Longest win streak
29In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
vertigoS1611569%0.01
nukeC156940%0.02
mirageC114736%0.00
infernoA116555%-0.00
officeA117464%0.02
ancientS96367%-0.00
anubisD93633%0.00
dust2B84450%0.02
cacheS54180%-0.00
overpass31233%0.01
train21150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,505Lifetime kills
1.28K/D · Top 25% of tracked players
1,863Matches
48.6%Match win rate · Top 50% of tracked players
49.1%Headshot % · Top 50% of tracked players
15.5%Shot accuracy · Top 25% of tracked players
4,834MVPs
796Hours (in match)
1,169Bombs planted
497Bombs defused

Most-used weapons

Lifetime map wins

4,073dust2
2,661nuke
1,810inferno
1,098cbble
682train
622vertigo
216office
63aztec

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.

22.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
30.3%Spray accuracy
82.6%Counter-strafing
8.8°Preaim
582msReaction time
42.8%T opening success
43.9%CT opening success
0.53Enemies flashed / flash
3.8%Flash assists
11.29HE damage / grenade
10.69Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–50.0129%27 Aug
nuke9–130.1021%27 Aug
dust213–40.0327%27 Aug
vertigo13–50.0337%24 Aug
nuke12–120.0231%24 Aug
ancient13–3-0.0613%20 Aug
vertigo13–80.0229%20 Aug
mirage8–13-0.0422%20 Aug
vertigo11–130.1222%20 Aug
mirage13–4-0.0626%18 Aug
vertigo13–10-0.0527%18 Aug
nuke13–6-0.0417%18 Aug
inferno13–40.0323%18 Aug
mirage13–20.0715%13 Aug
inferno9–130.0422%13 Aug
inferno13–50.0922%13 Aug
mirage0–5-0.0133%9 Aug
mirage12–120.0220%6 Aug
vertigo13–10-0.0116%6 Aug
ancient4–130.0126%6 Aug
mirage8–130.0621%6 Aug
nuke13–90.0420%5 Aug
ancient13–100.0222%5 Aug
anubis9–13-0.0223%5 Aug
anubis9–130.0117%5 Aug
vertigo7–13-0.0427%8 Jul
nuke13–10-0.0314%8 Jul
dust213–80.0235%2 Jul
inferno13–8-0.0119%29 Jun
dust213–50.1320%29 Jun
cache10–130.0120%29 Jun
office13–90.0016%29 Jun
nuke13–80.0530%18 Jun
office8–130.0921%15 Jun
anubis13–40.1335%15 Jun
vertigo11–13-0.0022%15 Jun
inferno8–13-0.0736%15 Jun
nuke10–130.0236%12 Jun
anubis8–13-0.0419%12 Jun
cache13–10-0.0019%12 Jun
inferno8–2-0.0333%12 Jun
ancient10–13-0.0122%12 Jun
train11–13-0.046%6 Jun
cache6–2-0.1238%6 Jun
cache13–90.0929%1 Jun
mirage13–11-0.0517%1 Jun
ancient13–40.0123%1 Jun
ancient12–12-0.0521%27 May
vertigo13–6-0.0325%11 May
ancient13–20.0215%11 May
cache13–100.0118%6 May
vertigo13–10.0218%6 May
dust26–130.0326%25 Apr
nuke6–13-0.0314%25 Apr
office11–13-0.050%16 Apr
dust26–13-0.0315%16 Apr
mirage12–12-0.0533%7 Apr
office13–50.0521%7 Apr
vertigo10–13-0.0024%7 Apr
anubis11–13-0.0314%6 Apr
inferno6–13-0.0324%6 Apr
overpass11–13-0.0029%31 Mar
anubis13–50.0221%31 Mar
office1–13-0.0235%28 Mar
vertigo13–8-0.0018%26 Mar
nuke11–13-0.0112%26 Mar
office13–60.1017%23 Mar
nuke2–13-0.0425%23 Mar
ancient13–9-0.0214%23 Mar
inferno13–11-0.0618%16 Mar
anubis9–13-0.0513%16 Mar
anubis13–60.0217%16 Mar
overpass13–30.0519%16 Mar
inferno13–80.0026%11 Mar
inferno15–15-0.0719%9 Mar
dust213–7-0.0527%8 Mar
nuke11–130.0231%8 Mar
office13–30.0712%8 Mar
vertigo3–60.0114%17 Feb
ancient13–10.0725%16 Feb
vertigo13–8-0.0218%16 Feb
office13–4-0.0427%16 Feb
overpass8–13-0.0330%16 Feb
mirage13–40.0233%14 Feb
anubis12–120.0028%14 Feb
mirage3–13-0.0326%13 Feb
vertigo13–40.1441%13 Feb
nuke7–13-0.0029%13 Feb
dust21–13-0.0320%13 Feb
inferno4–130.0645%7 Feb
vertigo13–100.0518%7 Feb
train13–30.1126%7 Feb
mirage11–130.0835%7 Feb
dust22–130.0727%7 Feb
nuke9–130.0924%7 Feb
office6–12-0.0527%2 Feb
nuke13–90.0136%28 Jan
office13–6-0.0126%28 Jan
office13–80.0524%25 Dec
nuke13–70.0511%25 Dec

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 →