RotkariT — CS2 Stats

76561198314518219[U:1:354252491]✓ No bans

824Tracked matches58%Win rate2022Tracked since
851Hours in CS
CSDB Rating2.8 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning32
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY444313Last 10044%Win rateLTWWWTLWWL

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

Player DNA

Aim1.9
Aggression3.2
Utility3.8
Positioning3.2
Opening Duels0.2

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 64% playstyle similarity

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

Where you differ: lower positioning profile; 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim1.9
Positioning3.2
Utility3.8
Mechanics1.2
Opening Duels0.3
Win Impact7.6

Composite 2.8/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time572ms+6ms
first ⅓ avg 566ms → last ⅓ avg 572ms
Headshot accuracy12.0%−1.3%
first ⅓ avg 13.2% → last ⅓ avg 12.0%

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

0.03Best rating — mirage 13–7
130Biggest win — dust2
4Longest win streak
95In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 6nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B55253045%-0.04
cacheA95456%-0.05
ancientC83538%-0.06
anubisD62433%-0.05
mirageS64267%-0.01
nukeD61517%-0.05
overpassA53260%-0.04
inferno41325%-0.03
train1010%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,953Lifetime kills
0.81K/D
2,024Matches
38.8%Match win rate
31.8%Headshot %
10.2%Shot accuracy
3,572MVPs
851Hours (in match)
1,967Bombs planted
348Bombs defused

Most-used weapons

Lifetime map wins

14,602dust2
1,052inferno
340nuke
111vertigo
60train
28cbble
5bank
3ar_shoots

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.

12.9%Headshot accuracy
22.5%Accuracy (enemy spotted)
32.6%Spray accuracy
55.3%Counter-strafing
11.8°Preaim
580msReaction time
29.3%T opening success
32.5%CT opening success
0.46Enemies flashed / flash
5.2%Flash assists
4.40HE damage / grenade
10.24Flashes / 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 12.8506% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4563 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.2555% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0413%26 Aug
dust215–150.0015%26 Aug
cache13–4-0.0611%26 Aug
ancient13–8-0.0414%26 Aug
dust213–4-0.0216%26 Aug
cache15–15-0.049%16 Jul
cache4–13-0.065%16 Jul
dust213–90.0011%16 Jul
cache13–8-0.089%6 Jul
anubis7–13-0.0119%6 Jul
mirage13–11-0.0416%1 Jul
dust29–13-0.0424%1 Jul
overpass13–10-0.0715%1 Jul
ancient7–13-0.0911%10 Jun
cache11–13-0.058%10 Jun
dust213–11-0.099%10 Jun
cache7–0-0.0014%10 Jun
cache12–12-0.0733%17 May
dust213–60.0113%17 May
ancient10–13-0.0710%14 May
mirage13–80.0122%14 May
ancient10–13-0.056%14 May
anubis6–13-0.045%13 May
overpass13–9-0.0414%13 May
dust24–13-0.069%13 May
cache13–2-0.039%29 Apr
cache13–7-0.099%29 Apr
mirage13–3-0.0215%23 Apr
dust212–12-0.0610%23 Apr
dust27–13-0.049%22 Apr
anubis3–13-0.070%22 Apr
inferno5–13-0.060%22 Apr
dust216–13-0.0613%22 Apr
dust213–2-0.0319%22 Apr
dust212–12-0.0812%8 Apr
anubis9–13-0.077%8 Apr
mirage12–12-0.0113%8 Apr
dust211–13-0.0312%8 Apr
dust212–12-0.0019%7 Apr
dust29–130.0110%7 Apr
dust212–12-0.087%1 Apr
mirage11–13-0.0523%1 Apr
dust29–13-0.0417%1 Apr
dust26–13-0.1012%1 Apr
dust213–6-0.0519%18 Mar
dust213–11-0.096%18 Mar
dust212–12-0.058%18 Mar
overpass13–9-0.020%18 Mar
dust212–12-0.0718%11 Mar
ancient4–13-0.067%11 Mar
dust213–00.0215%11 Mar
nuke9–13-0.064%11 Mar
dust213–5-0.0512%4 Mar
inferno8–13-0.0515%4 Mar
mirage13–70.0314%4 Mar
dust213–7-0.0815%4 Mar
dust23–13-0.075%4 Mar
nuke13–5-0.0123%25 Feb
dust29–13-0.0517%25 Feb
dust212–12-0.000%24 Feb
dust24–13-0.0529%20 Feb
dust213–9-0.0710%20 Feb
dust213–8-0.0111%18 Feb
dust20–13-0.0825%18 Feb
dust26–13-0.0715%18 Feb
dust213–6-0.0719%18 Feb
dust25–13-0.0817%4 Feb
dust213–8-0.0910%4 Feb
dust213–10-0.079%4 Feb
dust213–60.024%4 Feb
nuke9–13-0.0320%29 Jan
dust213–11-0.0421%29 Jan
inferno10–13-0.028%29 Jan
anubis13–11-0.126%27 Jan
dust213–7-0.0518%27 Jan
dust213–110.0212%27 Jan
nuke5–13-0.0815%19 Jan
overpass9–13-0.117%19 Jan
dust213–10.0020%19 Jan
inferno16–14-0.0013%19 Jan
train8–13-0.0813%19 Jan
dust211–13-0.0513%19 Jan
ancient9–13-0.0616%15 Jan
nuke12–12-0.0417%15 Jan
dust212–12-0.0113%15 Jan
dust26–13-0.0010%15 Jan
anubis13–4-0.008%13 Jan
dust26–13-0.064%13 Jan
dust21–13-0.0911%12 Jan
dust213–70.0318%12 Jan
dust213–10-0.0313%12 Jan
dust213–11-0.0025%12 Jan
dust213–11-0.0310%11 Jan
dust22–13-0.1130%10 Jan
nuke3–13-0.0613%10 Jan
overpass7–130.033%9 Jan
ancient13–3-0.0114%9 Jan
dust25–13-0.0311%9 Jan
dust211–13-0.0114%9 Jan
ancient13–9-0.0817%7 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 →