KaroT

KaroT — CS2 Stats

76561199515215609[U:1:1554949881]Steam profile ↗✓ No bans

248Tracked matches31%Win rate2023Tracked since
431Hours in CS4Hrs last 2 wks
CSDB Rating4.5 DevelopingClutch Specialist
CSDB Leaderboard#75850 of 226870 tracked
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 30 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,999 +9,362 14 Feb5 Aug · 14 days played
10,63719,999peak 19,99914 Feb5 Aug
19,999Peak Premier in tracked matches
32Days played since 2026-01-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim59
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateLLLTLLLLWL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · −21ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 041 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 651ms

Last 10

  • 181 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 685ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 696ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim5.9
Utility5.5
Positioning3.9
Opening Duels0.1
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 666ms 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

Aim5.9
Positioning3.9
Utility5.5
Mechanics6.9
Opening Duels0.5
Win Impact0.0

Composite 4.5/10 (Developing), 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 rating-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time670ms+30ms
first ⅓ avg 640ms → last ⅓ avg 670ms
Headshot accuracy18.6%+3.5%
first ⅓ avg 15.1% → last ⅓ avg 18.6%

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.

Personal bests

0.19Best match rating · 13–6 · ancient, 26 Feb
48%Best headshot accuracy · 9–13 · train, 12 Aug
469msFastest reaction time · 3–13 · nuke, 12 Jul
13–1Biggest win · nuke, 26 Feb

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
123In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 57% over 14nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC1981142%-0.01
mirageB189950%-0.00
anubisA148657%-0.00
dust2B115645%0.01
ancientB115645%0.01
nukeD93633%-0.02
cacheA95456%-0.02
overpass41325%0.00
train2020%-0.03
vertigo220100%0.03
office1010%-0.10

Across the last 100 tracked matches.

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

Lifetime stats

9,141Lifetime kills
1.08K/D · Top 50% of tracked players
553Matches
50.5%Match win rate · Top 25% of tracked players
43.9%Headshot % · Top 50% of tracked players
1.1%Shot accuracy
1,352MVPs
219Hours (in match)
338Bombs planted
128Bombs defused

Most-used weapons

Lifetime map wins

809inferno
629dust2
598nuke
181train
136vertigo
96office
13italy
2ar_baggage

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

Faceit stats

Combat

18Matches
61%Win rate
1.10Avg K/D
84.7ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.9114.3
Inferno3100%1.2413.0
Dust2250%1.4612.0
Overpass2100%1.1114.0
Nuke2100%1.2320.0
Ancient1100%1.3818.0
Cache10%1.1218.0
Vertigo10%0.538.0

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.

18.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.3%Spray accuracy
80.9%Counter-strafing
11.0°Preaim
666msReaction time
24.3%T opening success
34.4%CT opening success
0.57Enemies flashed / flash
4.2%Flash assists
8.18HE damage / grenade
8.76Flashes / 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 24.2723% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0314%14 Sept
nuke6–13-0.0219%11 Sept
dust23–13-0.0315%11 Sept
anubis15–150.0036%31 Aug
cache14–16-0.0014%31 Aug
ancient5–13-0.0615%31 Aug
inferno5–13-0.0112%31 Aug
train9–13-0.0048%12 Aug
ancient13–10-0.0414%5 Aug
nuke4–13-0.1121%5 Aug
cache13–8-0.0420%5 Aug
mirage13–6-0.0212%5 Aug
nuke6–13-0.0826%5 Aug
dust23–130.0012%5 Aug
office9–13-0.1029%4 Aug
dust213–30.076%22 Jul
cache13–4-0.1010%22 Jul
mirage7–13-0.0324%22 Jul
mirage0–13-0.1022%22 Jul
ancient13–110.0421%22 Jul
anubis4–13-0.0611%22 Jul
anubis9–13-0.0230%22 Jul
ancient5–13-0.0310%21 Jul
ancient6–13-0.028%21 Jul
inferno10–13-0.069%21 Jul
dust22–13-0.0421%21 Jul
anubis9–13-0.0415%21 Jul
cache13–11-0.0216%21 Jul
mirage13–10-0.0120%21 Jul
cache13–110.0516%16 Jul
anubis13–60.0528%16 Jul
anubis16–14-0.0622%16 Jul
inferno11–13-0.0318%16 Jul
inferno13–60.0717%16 Jul
inferno13–110.0919%15 Jul
anubis8–13-0.0327%15 Jul
inferno15–15-0.0512%15 Jul
mirage16–120.1113%12 Jul
nuke3–13-0.1413%12 Jul
inferno13–7-0.019%12 Jul
cache13–7-0.0122%12 Jul
inferno12–160.0428%10 Jul
cache14–16-0.0415%9 Jul
inferno13–11-0.0328%9 Jul
inferno8–130.0212%9 Jul
anubis13–6-0.0226%9 Jul
mirage13–9-0.049%27 Jun
nuke9–13-0.0121%26 Jun
anubis13–90.0018%26 Jun
anubis5–130.0232%26 Jun
inferno13–50.0318%24 Jun
dust216–140.0624%24 Jun
cache6–130.0113%21 Jun
inferno7–13-0.0217%21 Jun
inferno10–13-0.0520%21 Jun
inferno1–13-0.0413%21 Jun
nuke16–12-0.0211%14 May
cache3–13-0.0619%3 May
inferno13–10-0.0512%28 Apr
vertigo13–11-0.0211%28 Apr
dust213–50.0432%27 Apr
mirage16–140.0116%26 Apr
mirage9–130.0817%26 Apr
ancient2–130.0018%26 Apr
vertigo13–80.0810%25 Mar
overpass12–12-0.0716%13 Mar
overpass4–130.0117%13 Mar
dust26–13-0.0112%3 Mar
overpass9–130.0422%27 Feb
ancient13–110.027%27 Feb
inferno7–130.0118%27 Feb
dust22–130.0320%27 Feb
mirage1–13-0.093%27 Feb
mirage1–5-0.056%27 Feb
anubis16–140.1413%26 Feb
mirage5–130.0212%26 Feb
ancient13–60.1914%26 Feb
nuke13–10.1616%26 Feb
nuke10–13-0.0118%26 Feb
mirage15–15-0.0315%26 Feb
ancient6–130.058%26 Feb
mirage13–20.1219%23 Feb
mirage13–30.0716%23 Feb
dust213–20.0429%23 Feb
train5–13-0.059%23 Feb
inferno13–90.0512%22 Feb
inferno2–13-0.1212%22 Feb
anubis13–100.0312%22 Feb
ancient9–13-0.0617%22 Feb
inferno8–4-0.114%22 Feb
overpass13–60.0418%22 Feb
nuke13–70.0227%22 Feb
dust213–10-0.0215%14 Feb
anubis13–50.0218%14 Feb
mirage13–4-0.0424%14 Feb
ancient16–140.0616%14 Feb
anubis13–10-0.0715%2 Feb
mirage3–13-0.1021%30 Jan
mirage13–70.0217%30 Jan
dust28–13-0.0415%30 Jan

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 →