John Kimble — CS2 Stats

76561198175464231[U:1:215198503]

661Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim67
Positioning61
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLWWWLWLWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression7.6
Utility4.1
Positioning6.1
Opening Duels3.3

Excellent counter-strafingEffective flashes

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 89% 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 661ms 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

Aim6.7
Positioning6.1
Utility4.1
Mechanics9.1
Opening Duels3.3
Win Impact7.4

Composite 6.3/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time655ms−12ms
first ⅓ avg 666ms → last ⅓ avg 655ms
Headshot accuracy17.7%−0.7%
first ⅓ avg 18.5% → last ⅓ avg 17.7%

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.

Highlights

0.16Best rating — inferno 13–4
131Biggest win — ancient
3Longest win streak
97In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 60% over 15trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC2291341%0.01
mirageB157847%-0.00
ancientA159660%0.02
dust2A127558%0.02
overpassC83538%0.00
infernoC73443%0.04
anubisA53260%-0.01
trainD51420%-0.01
vertigo42250%0.01
golden3030%-0.03
cache110100%-0.02
warden1010%0.10
alpine110100%-0.01
palacio1010%0.02

Across the last 100 tracked matches.

Skill profile

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

17.7%Headshot accuracy
35.2%Accuracy (enemy spotted)
34.5%Spray accuracy
91.1%Counter-strafing
10.9°Preaim
661msReaction time
40.1%T opening success
46.4%CT opening success
0.80Enemies flashed / flash
2.9%Flash assists
6.51HE damage / grenade
5.23Flashes / match

Recommended for you

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0816%2 Aug
cache13–9-0.0230%24 Jul
mirage13–7-0.0028%23 Jun
inferno13–40.1622%23 Jun
mirage8–130.0418%23 Jun
nuke16–120.0019%22 Jun
mirage14–16-0.0018%22 Jun
overpass13–110.0716%18 Jun
ancient14–160.028%17 Jun
nuke7–13-0.118%16 Jun
inferno8–13-0.0819%15 Jun
dust213–110.0112%15 Jun
nuke13–100.0129%14 Jun
overpass10–13-0.0422%8 Mar
nuke13–6-0.0215%3 Mar
anubis2–13-0.029%3 Mar
ancient16–14-0.0412%21 Feb
overpass13–11-0.0012%8 Feb
nuke13–10-0.0011%8 Feb
warden7–130.1020%24 Jan
alpine13–8-0.0123%24 Jan
overpass15–15-0.0114%12 Jan
ancient13–90.0215%5 Jan
train9–13-0.0123%5 Jan
mirage13–60.0118%5 Jan
ancient13–70.0715%5 Jan
mirage15–15-0.0121%4 Jan
mirage13–60.0426%4 Jan
ancient6–130.0015%4 Jan
overpass11–13-0.0420%4 Jan
nuke13–50.0714%4 Jan
dust213–7-0.0628%4 Jan
inferno13–40.0810%3 Jan
nuke10–130.0419%3 Jan
ancient13–20.0921%3 Jan
dust210–130.0716%3 Jan
mirage13–110.0218%3 Jan
overpass13–160.0610%3 Jan
dust210–130.0123%2 Jan
nuke4–13-0.0316%2 Jan
mirage9–130.0013%2 Jan
dust24–130.0710%2 Jan
dust213–80.0216%17 Dec
dust213–70.0118%16 Dec
inferno3–13-0.0113%16 Dec
mirage7–13-0.059%14 Dec
ancient8–13-0.0618%14 Dec
inferno11–130.1111%14 Dec
inferno13–20.059%13 Dec
nuke8–130.016%13 Dec
dust213–20.0016%13 Dec
inferno6–13-0.039%13 Dec
dust213–80.1018%6 Dec
ancient4–13-0.0711%6 Dec
nuke15–15-0.035%6 Dec
nuke11–130.0312%4 Dec
nuke13–80.1013%4 Dec
ancient13–80.0413%3 Dec
golden10–13-0.0410%9 Oct
golden0–13-0.0733%9 Oct
palacio10–130.0217%4 Oct
golden10–130.0216%4 Oct
train10–130.0618%30 Sept
train0–2-0.030%30 Sept
overpass13–8-0.0013%4 Sept
nuke13–90.0210%4 Sept
nuke8–13-0.0123%3 Sept
dust21–130.0123%3 Sept
mirage13–10-0.0126%29 Aug
mirage13–7-0.0015%22 Aug
overpass10–130.0122%21 Aug
ancient8–130.0512%13 Jul
anubis9–4-0.0316%13 Jul
mirage13–50.0018%31 May
train1–13-0.0819%31 May
nuke13–11-0.036%3 May
ancient13–70.0823%3 May
anubis11–130.0220%27 Apr
train13–8-0.0115%27 Apr
mirage2–13-0.0715%27 Feb
anubis16–130.0015%17 Feb
dust216–130.0532%17 Feb
nuke8–13-0.0219%17 Feb
nuke9–130.0223%16 Feb
ancient13–70.0113%16 Feb
ancient4–13-0.0117%30 Jan
mirage8–13-0.0018%30 Jan
ancient13–110.1022%29 Jan
nuke13–110.0218%29 Jan
nuke5–130.1020%25 Jan
nuke1–13-0.0439%25 Jan
vertigo13–60.0118%25 Jan
vertigo6–130.018%11 Jan
anubis13–11-0.0117%11 Jan
vertigo13–80.0219%4 Jan
ancient13–10.0425%4 Jan
vertigo12–160.0015%4 Jan
nuke12–120.0617%3 Jan
nuke3–13-0.0618%3 Jan
mirage5–130.009%2 Jan

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 →