rotte

rotte — CS2 Stats

76561198047679427[U:1:87413699]Steam profile ↗✓ No bans

899Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
CSDB Leaderboard#42113 of 258198 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,099 -1,679 28 May – 17 Nov · 6 days played
23,09924,898peak 24,89828 May17 Nov
24,999Peak Premier in tracked matches
66Days played since 2025-05-05

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

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CSDB.GGrotteFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning69
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLLLWLWLWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −76ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 420ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 449ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 487ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.2
Utility2.6
Positioning6.9
Opening Duels6.3
Clutch4.0

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 64% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning6.9
Utility2.6
Mechanics6.3
Opening Duels5.3
Win Impact5.0

Composite 6.2/10 (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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time512ms−62ms
first ⅓ avg 575ms → last ⅓ avg 512ms
Headshot accuracy18.3%−1.0%
first ⅓ avg 19.3% → last ⅓ avg 18.3%

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

0.11Best match rating · 13–3 · dust2, 5 May →
34%Best headshot accuracy · 13–4 · nuke, 31 Aug →
344msFastest reaction time · 10–13 · ancient, 12 Oct →
13–1Biggest win · nuke, 8 Jul →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L3Current streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 70% over 30trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S3021–970%0.03
nukeB199–1047%0.01
ancientA1710–759%0.02
infernoB158–753%0.03
trainD62–433%0.00
cacheA53–260%0.03
mirage—42–250%-0.01
anubis—21–150%0.01
overpass—20–20%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

871Matches
56%Win rate
1.33Avg K/D
96.6ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust213159%1.4320.3
Inferno9761%1.4720.4
Ancient9658%1.3219.2
Nuke7551%1.5219.9
Cache4154%1.2518.5
Mirage1638%1.2018.1
Anubis1346%1.0817.9
Train1145%1.3921.2

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.

18.9%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.4%Spray accuracy
78.2%Counter-strafing
9.7°Preaim
502msReaction time
38.2%T opening success
64.1%CT opening success
0.24Enemies flashed / flash
6.5%Flash assists
9.33HE damage / grenade
2.01Flashes / 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. 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 0.2429 — below the 0.5 mark we flag

    Grenade Lineups →
  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 38.2187% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.019%17 Oct →
anubis4–13-0.0123%17 Oct →
nuke3–13-0.0418%12 Oct →
anubis13–50.0327%12 Oct →
ancient10–13-0.0118%12 Oct →
dust213–110.0515%12 Oct →
inferno8–130.0624%8 Oct →
cache13–2-0.0013%5 Oct →
cache13–30.0520%23 Sept →
nuke9–130.0522%20 Sept →
ancient13–16-0.0225%4 Sept →
ancient13–100.0716%30 Aug →
dust210–13-0.0121%29 Aug →
dust28–13-0.0116%29 Aug →
ancient13–50.0013%27 Aug →
mirage13–110.0116%27 Aug →
dust213–90.0521%24 Aug →
dust214–160.0018%23 Aug →
dust213–70.0621%22 Aug →
ancient13–90.0317%21 Aug →
cache13–110.0716%15 Aug →
ancient13–80.0617%15 Aug →
nuke6–13-0.0411%10 Aug →
cache5–13-0.038%9 Aug →
dust213–160.0522%9 Aug →
ancient9–130.0416%7 Aug →
dust213–110.0625%6 Aug →
dust211–130.0131%6 Aug →
nuke13–40.0322%4 Aug →
dust213–80.0219%30 Jul →
nuke13–30.0316%29 Jul →
inferno13–110.0516%29 Jul →
dust211–130.0614%21 Jul →
ancient5–13-0.0215%21 Jul →
dust213–70.0114%20 Jul →
nuke13–60.0718%19 Jul →
overpass3–13-0.0510%3 Jul →
mirage8–130.0017%2 Jul →
mirage13–8-0.0418%1 Jul →
inferno13–110.0622%1 Jul →
dust213–50.0420%29 Jun →
nuke7–13-0.0716%25 Jun →
nuke10–130.0829%25 Jun →
inferno9–130.0828%18 Jun →
cache11–130.0518%17 Jun →
nuke12–160.0116%21 Feb →
dust213–70.0526%16 Feb →
dust20–5-0.070%17 Nov →
inferno16–130.0620%17 Nov →
nuke1–8-0.0514%31 Oct →
ancient10–13-0.0219%30 Oct →
overpass7–13-0.0421%12 Sept →
inferno13–9-0.0014%12 Sept →
dust213–80.0519%12 Sept →
ancient11–13-0.0121%11 Sept →
dust213–20.0026%11 Sept →
ancient8–10.0329%11 Sept →
ancient13–50.0719%1 Sept →
inferno13–160.0222%31 Aug →
nuke13–40.0734%31 Aug →
dust213–60.0118%31 Aug →
nuke9–130.0326%29 Aug →
inferno13–40.0528%29 Aug →
dust213–20.0721%26 Aug →
inferno10–130.0113%21 Aug →
nuke13–60.0630%11 Aug →
ancient13–20.1017%10 Aug →
nuke9–13-0.044%8 Aug →
dust29–13-0.0225%8 Aug →
ancient5–13-0.0219%6 Aug →
ancient16–120.0218%13 Jul →
inferno14–16-0.0113%10 Jul →
nuke13–10.0332%8 Jul →
dust213–90.0124%8 Jul →
dust213–60.0218%3 Jul →
train5–70.0514%13 Jun →
inferno7–130.0628%11 Jun →
ancient13–60.0420%11 Jun →
dust213–30.0229%11 Jun →
train13–80.0115%10 Jun →
train7–13-0.0215%6 Jun →
inferno13–70.0622%6 Jun →
inferno17–190.0221%5 Jun →
train12–16-0.0420%2 Jun →
nuke11–13-0.0311%29 May →
inferno13–70.0226%29 May →
dust22–6-0.0814%28 May →
nuke13–110.0322%23 May →
dust213–3-0.0121%23 May →
inferno16–13-0.0410%23 May →
dust216–130.0830%22 May →
nuke13–70.0128%21 May →
dust213–40.0115%20 May →
nuke16–140.039%20 May →
dust213–70.1026%20 May →
train13–90.0520%20 May →
ancient13–100.0517%15 May →
dust213–60.0419%15 May →
dust213–30.1113%5 May →
train13–16-0.0322%5 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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