Kansas — CS2 Stats

76561197986897796[U:1:26632068]✓ No bans

970Tracked matches62%Win rate2020Tracked since
CSDB Rating4.8 Developing
Premier CS Rating14,660Blue band · top ~30.2% of ranked players (population est.)
CSDB Leaderboard#34040 of 55260 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGKansasPREMIER14,660 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

COLD49492Last 10049%Win rateLLLLLWLLWW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim4.4
Aggression5.6
Utility4.8
Positioning4.8
Opening Duels1.5

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-fight frequency, opening-duel success.

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 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 685ms 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

Aim4.4
Positioning4.8
Utility4.8
Mechanics6.4
Opening Duels2.2
Win Impact9.0

Composite 4.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time677ms+15ms
first ⅓ avg 662ms → last ⅓ avg 677ms
Headshot accuracy17.5%+2.7%
first ⅓ avg 14.8% → last ⅓ avg 17.5%

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

0.14Best rating — mirage 13–2
130Biggest win — cache
6Longest win streak
L5Current streak
99In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S31201165%-0.00
mirageC28111739%-0.00
cacheS107370%0.00
anubisC104640%-0.02
nukeD93633%-0.01
infernoD72529%-0.04
ancient31233%0.02
overpass21150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
31.9%Spray accuracy
78.9%Counter-strafing
11.2°Preaim
685msReaction time
24.4%T opening success
47.8%CT opening success
0.61Enemies flashed / flash
13.1%Flash assists
10.61HE damage / grenade
4.92Flashes / 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 24.4413% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.126%26 Aug
mirage8–13-0.0724%17 Aug
mirage9–13-0.0420%12 Aug
inferno2–13-0.0220%12 Aug
dust27–130.0025%12 Aug
cache13–100.019%8 Aug
mirage13–160.0017%8 Aug
anubis14–16-0.0123%8 Aug
dust213–11-0.0415%8 Aug
dust213–80.0315%5 Aug
cache13–70.0318%5 Aug
dust213–100.0225%5 Aug
mirage15–15-0.079%2 Aug
dust213–5-0.0320%2 Aug
dust213–10-0.0113%2 Aug
mirage13–5-0.0011%31 Jul
ancient6–130.0211%30 Jul
cache16–14-0.0618%26 Jul
mirage16–14-0.0211%26 Jul
cache6–13-0.0626%23 Jul
cache13–00.043%23 Jul
mirage14–160.0016%23 Jul
cache13–5-0.0219%22 Jul
mirage13–90.0117%22 Jul
inferno4–13-0.0814%19 Jul
dust213–70.0119%19 Jul
inferno13–60.0120%17 Jul
anubis13–4-0.0227%13 Jul
dust213–6-0.0536%13 Jul
dust213–2-0.0123%13 Jul
cache6–13-0.0223%13 Jul
dust211–13-0.0718%9 Jul
mirage8–13-0.0011%9 Jul
dust211–130.0129%1 Jul
dust213–80.0211%1 Jul
nuke16–14-0.0012%30 Jun
mirage13–10-0.0312%30 Jun
anubis13–9-0.069%25 Jun
ancient13–110.0514%25 Jun
dust213–11-0.0024%11 Jun
dust29–13-0.0212%11 Jun
nuke13–90.0014%9 Jun
dust213–50.029%9 Jun
mirage7–13-0.0317%5 Jun
inferno10–13-0.057%3 Jun
nuke3–13-0.0017%3 Jun
mirage3–130.025%30 May
mirage13–6-0.0413%30 May
mirage13–70.018%29 May
dust213–100.005%29 May
mirage11–13-0.0214%29 May
dust28–130.0115%28 May
dust213–50.0415%28 May
mirage4–130.0220%28 May
dust213–110.0629%28 May
mirage13–20.148%26 May
dust213–110.0110%15 May
mirage10–13-0.0120%14 May
mirage13–70.0215%13 May
cache13–20.0627%13 May
nuke15–150.1022%13 May
inferno10–13-0.0416%4 May
mirage7–13-0.0115%4 May
cache13–20.0313%29 Apr
cache9–130.025%29 Apr
mirage13–7-0.0218%18 Apr
dust213–80.0113%18 Apr
nuke16–12-0.0315%14 Apr
anubis9–130.0126%14 Apr
anubis5–13-0.0221%12 Apr
mirage11–130.0110%12 Apr
dust213–80.038%12 Apr
nuke13–16-0.0213%9 Apr
anubis13–90.0411%9 Apr
mirage13–70.0412%4 Apr
dust25–13-0.0110%4 Apr
nuke6–13-0.0618%1 Apr
dust27–130.0024%1 Apr
mirage10–130.0018%1 Apr
dust27–13-0.0110%1 Apr
inferno11–13-0.0039%1 Apr
overpass7–13-0.0615%30 Mar
anubis12–16-0.009%30 Mar
dust213–40.058%30 Mar
dust210–13-0.0414%24 Mar
nuke7–13-0.0516%24 Mar
dust210–30.1215%24 Mar
dust25–13-0.117%23 Mar
mirage16–140.0222%23 Mar
anubis13–7-0.0329%23 Mar
mirage11–130.029%20 Mar
anubis5–13-0.0811%20 Mar
inferno13–6-0.064%20 Mar
mirage4–13-0.009%19 Mar
anubis12–16-0.0416%19 Mar
dust216–130.0019%19 Mar
overpass13–50.057%18 Mar
ancient7–13-0.0113%16 Mar
mirage11–13-0.0516%16 Mar
nuke6–13-0.0615%16 Mar

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 →