kcthegeodashKing — CS2 Stats

76561199395443581[U:1:1435177853]✓ No bans

638Tracked matches50%Win rate2026Tracked since
362Hours in CS
CSDB Rating3.6 Learning
Premier CS Rating10,234Blue band · top ~53.7% of ranked players (population est.)
CSDB Leaderboard#39007 of 54672 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate34.7%41.4%44.2%9.5% short
Shot accuracy0.0%9.0%11.6%11.6% short
Kill/death ratio0.610.971.030.42 short
Match win rate36.2%43.7%45.2%9.0% short

This profile sits below the typical Purple band player on every metric we can compare.

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.GGkcthegeodashKingPREMIER10,234 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning45
Utility31

0–100 skill scores via Leetify.

Recent form

COLD50437Last 10050%Win rateLLLLLLWWWL

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

Player DNA

Aim3.9
Aggression6.4
Utility3.1
Positioning4.5
Opening Duels1.8
Clutch1.0

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

Twistzz

Plays most like Twistzz 76% 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

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9
Positioning4.5
Utility3.1
Mechanics3.8
Opening Duels1.8
Win Impact5.0

Composite 3.6/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time627ms+7ms
first ⅓ avg 620ms → last ⅓ avg 627ms
Headshot accuracy14.1%+4.6%
first ⅓ avg 9.5% → last ⅓ avg 14.1%

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

0.37Best rating — inferno 9–1
130Biggest win — nuke
9Longest win streak
L6Current streak
126In matches decided by ≤2 rounds
4Overtime games

Map breakdown

debrisBest map · 67% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB31151648%0.02
dust2A1811761%0.00
mirageD1441029%-0.01
ancientD92722%0.01
debrisS64267%0.06
nukeA53260%-0.01
overpass43175%0.03
eldorado32167%-0.04
poseidon31233%-0.04
vertigo32167%0.02
cache21150%-0.02
train110100%0.12
anubis110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,573Lifetime kills
0.61K/D
988Matches
36.2%Match win rate
34.7%Headshot %
0.0%Shot accuracy
1,454MVPs
362Hours (in match)
552Bombs planted
128Bombs defused

Most-used weapons

Lifetime map wins

2,082dust2
1,073inferno
657nuke
160vertigo
87train
15office
9italy
1ar_baggage

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

Faceit stats

Combat

4Matches
50%Win rate
0.81Avg K/D
69.1ADR
30%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Cache250%0.9016.0
Dust210%0.336.0
Anubis1100%1.1317.0

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.

11.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.8%Spray accuracy
67.2%Counter-strafing
11.9°Preaim
635msReaction time
33.2%T opening success
41.5%CT opening success
0.60Enemies flashed / flash
11.1%Flash assists
2.45HE damage / grenade
4.09Flashes / 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. 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 11.8359% — below the 15% mark we flag

    Aim Training
  2. 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 33.1996% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–9-0.097%29 Aug
mirage5–13-0.074%29 Aug
inferno6–9-0.1316%28 Aug
inferno0–9-0.1633%28 Aug
ancient3–13-0.083%28 Aug
ancient14–160.0613%28 Aug
dust213–70.1518%27 Aug
dust213–30.0712%27 Aug
inferno9–40.1155%26 Aug
debris7–90.054%24 Aug
debris6–90.0521%23 Aug
debris9–50.0717%23 Aug
debris9–7-0.0711%23 Aug
eldorado6–9-0.1111%23 Aug
inferno3–9-0.198%23 Aug
inferno9–6-0.0219%23 Aug
ancient6–130.026%21 Aug
mirage8–130.025%21 Aug
mirage3–13-0.0710%21 Aug
mirage1–12-0.008%20 Aug
inferno9–60.116%20 Aug
inferno8–8-0.0611%20 Aug
nuke2–9-0.0640%18 Aug
inferno10–13-0.0717%17 Aug
ancient13–80.029%17 Aug
train13–30.1211%15 Aug
nuke13–00.0214%15 Aug
nuke13–70.0118%15 Aug
overpass9–7-0.0111%14 Aug
debris9–70.1212%14 Aug
inferno9–60.085%14 Aug
inferno9–70.118%14 Aug
poseidon9–50.1323%14 Aug
inferno4–9-0.1516%13 Aug
inferno9–1-0.0618%13 Aug
inferno9–5-0.0219%13 Aug
dust213–50.0418%13 Aug
inferno8–80.057%13 Aug
poseidon0–7-0.250%13 Aug
vertigo9–60.0020%12 Aug
overpass9–70.128%12 Aug
debris9–60.138%12 Aug
nuke13–30.029%12 Aug
dust213–5-0.0616%12 Aug
cache13–70.0016%12 Aug
cache5–13-0.0421%11 Aug
overpass8–80.000%11 Aug
inferno7–9-0.142%11 Aug
inferno9–10.2213%11 Aug
inferno9–70.1111%10 Aug
dust213–110.0613%10 Aug
dust213–90.018%9 Aug
inferno2–9-0.158%9 Aug
mirage13–110.0814%8 Aug
ancient9–130.0311%8 Aug
mirage13–70.087%8 Aug
ancient9–13-0.088%7 Aug
mirage4–13-0.0415%7 Aug
dust24–13-0.027%7 Aug
dust213–110.0320%7 Aug
overpass9–50.002%7 Aug
inferno8–80.118%5 Aug
inferno8–8-0.0710%5 Aug
inferno4–90.0616%5 Aug
mirage7–13-0.018%5 Aug
dust27–13-0.0613%5 Aug
inferno9–10.1222%5 Aug
dust213–8-0.058%5 Aug
dust29–13-0.028%4 Aug
inferno6–9-0.084%4 Aug
mirage4–13-0.0515%4 Aug
ancient5–13-0.0412%4 Aug
inferno9–7-0.0617%4 Aug
eldorado9–7-0.0110%4 Aug
poseidon8–80.009%4 Aug
eldorado9–70.018%4 Aug
inferno7–90.029%4 Aug
inferno9–6-0.0317%3 Aug
inferno9–40.2310%3 Aug
vertigo5–13-0.017%3 Aug
vertigo13–30.059%3 Aug
anubis13–90.0410%3 Aug
dust214–16-0.040%3 Aug
mirage12–16-0.048%2 Aug
nuke3–9-0.037%2 Aug
inferno9–10.375%2 Aug
inferno9–50.1811%2 Aug
dust213–7-0.009%1 Aug
mirage11–30.018%1 Aug
dust213–90.0213%31 Jul
mirage13–7-0.0413%31 Jul
ancient6–13-0.0012%31 Jul
dust213–80.0410%31 Jul
mirage15–150.098%31 Jul
ancient13–10.189%31 Jul
dust23–13-0.0116%30 Jul
mirage6–13-0.049%30 Jul
dust211–13-0.0411%30 Jul
inferno4–130.060%29 Jul
dust27–13-0.0713%29 Jul

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 →