retupe

retupe — CS2 Stats

76561198971822348[U:1:1011556620]Steam profile ↗✓ No bans

170Tracked matches53%Win rate2020Tracked since
1,302Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 170
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Premier CS Rating: 18,789 +11,127 6 Oct – 5 Jun · 15 days played
7,66219,662peak 19,6626 Oct5 Jun
19,883Peak Premier in tracked matches
52Days played since 2024-10-04

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate65.4%44.8%45.7%above
Shot accuracy13.9%12.4%12.7%above
Kill/death ratio0.931.031.050.12 short
Match win rate54.8%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGretupeFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning66
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWLWLLLWW

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · +2.1pp headshot accuracy · +4ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 594ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 592ms

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 (+2.5 against its own average).

Aim7.7
Utility4.4
Positioning6.6
Opening Duels3.9
Clutch1.6

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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

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

Reaction time. 607ms 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

Aim7.7
Positioning6.6
Utility4.4
Mechanics7.7
Opening Duels3.2
Win Impact6.1

Composite 6.4/10 (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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time603ms−9ms
first ⅓ avg 613ms → last ⅓ avg 603ms
Headshot accuracy25.0%+1.2%
first ⅓ avg 23.8% → last ⅓ avg 25.0%

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.

Personal bests

0.20Best match rating · 13–8 · overpass, 28 Apr →
58%Best headshot accuracy · 11–0 · dust2, 29 Jul →
438msFastest reaction time · 1–9 · ancient, 18 May →
13–1Biggest win · ancient, 30 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 83% over 6mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA1810–856%0.02
anubisB178–947%0.03
mirageC145–936%0.01
cacheB136–746%0.02
dust2A117–464%0.07
ancientC114–736%0.02
nukeA74–357%-0.03
overpassS65–183%0.08
train—32–167%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,558Lifetime kills
0.93K/D
767Matches
54.8%Match win rate · Top 5% of Level 6 players
65.4%Headshot % · Top 5% of Level 6 players
13.9%Shot accuracy · Top 50% of Level 6 players
2,574MVPs
1,302Hours (in match)
870Bombs planted
423Bombs defused

Most-used weapons

AK-4722,049
AWP3,164
MP9256
Knife187

Lifetime map wins

1,503dust2
1,439inferno
305vertigo
301nuke
211train
50office
18cbble

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

Faceit stats

Combat

112Matches
53%Win rate
1.49Avg K/D
91.3ADR
50%Headshot %

Clutches & streaks

28%1v1 clutch win
31%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2250%1.4520.6
Inferno2080%1.5419.0
Mirage1741%1.4218.4
Dust21250%1.6922.8
Cache1258%1.2318.0
Ancient933%1.4617.6
Vertigo450%1.5924.3
Nuke450%1.2918.0

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.

25.3%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.9%Spray accuracy
84.8%Counter-strafing
10.4°Preaim
607msReaction time
37.8%T opening success
48.0%CT opening success
0.43Enemies flashed / flash
9.5%Flash assists
8.06HE damage / grenade
7.77Flashes / 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 0.4311 — 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 37.7547% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0314%9 Oct →
inferno7–13-0.0122%9 Oct →
dust213–20.1015%9 Oct →
dust211–130.0122%18 Sept →
inferno16–140.0423%4 Sept →
cache10–130.0136%21 Aug →
inferno11–130.0037%8 Aug →
ancient9–130.0327%4 Aug →
dust211–00.1958%29 Jul →
dust213–30.1827%24 Jul →
cache5–13-0.0135%24 Jul →
mirage13–100.0121%24 Jul →
anubis11–130.0230%23 Jul →
nuke8–13-0.0128%23 Jul →
inferno10–130.1022%23 Jul →
mirage16–13-0.0225%22 Jul →
inferno13–10-0.0026%21 Jul →
nuke13–7-0.0028%20 Jul →
inferno13–2-0.0225%19 Jul →
inferno13–3-0.0220%13 Jul →
dust213–9-0.0017%13 Jul →
mirage13–90.0023%13 Jul →
ancient13–90.0545%13 Jul →
train13–70.0423%19 Jun →
anubis7–130.0222%5 Jun →
overpass13–90.1716%5 Jun →
mirage7–130.0522%5 Jun →
nuke8–130.0230%5 Jun →
mirage1–13-0.067%5 Jun →
inferno7–13-0.0716%5 Jun →
mirage7–130.0421%31 May →
anubis9–130.0013%31 May →
inferno8–130.0329%31 May →
overpass13–100.0324%29 May →
anubis13–100.0521%29 May →
dust210–130.0825%29 May →
overpass13–70.0117%25 May →
nuke1–9-0.210%25 May →
cache8–130.0127%19 May →
mirage4–130.0730%19 May →
anubis15–150.0419%18 May →
ancient1–9-0.0921%18 May →
mirage7–13-0.0731%15 May →
inferno1–13-0.0822%15 May →
nuke13–8-0.0314%15 May →
cache10–130.0428%15 May →
anubis13–9-0.0229%13 May →
inferno13–110.0618%13 May →
mirage3–13-0.0018%13 May →
cache13–90.0831%13 May →
cache13–60.0930%13 May →
inferno13–40.1724%13 May →
anubis13–100.0925%13 May →
mirage7–130.0220%13 May →
dust211–13-0.0112%12 May →
inferno13–100.0325%12 May →
cache9–13-0.0117%12 May →
anubis9–13-0.0219%12 May →
inferno13–80.0616%11 May →
cache16–19-0.0230%11 May →
cache13–110.0224%10 May →
anubis10–130.0729%10 May →
anubis13–50.0515%8 May →
inferno13–90.0116%8 May →
ancient4–13-0.0518%8 May →
cache13–10-0.0721%8 May →
overpass8–13-0.0319%6 May →
anubis13–60.0513%4 May →
ancient9–130.0529%4 May →
cache13–100.0234%4 May →
mirage6–130.0019%1 May →
anubis9–130.0527%1 May →
overpass13–100.0722%1 May →
mirage13–40.1317%29 Apr →
cache13–100.0526%29 Apr →
overpass13–80.2032%28 Apr →
ancient13–50.0524%28 Apr →
anubis9–13-0.0313%27 Apr →
cache5–130.0324%27 Apr →
anubis13–90.0221%26 Apr →
ancient13–10.1329%30 Mar →
ancient8–130.0233%18 Mar →
ancient4–13-0.0318%26 May →
inferno13–110.0112%30 Jan →
dust29–130.0114%20 Dec →
mirage13–4-0.0230%16 Dec →
dust213–100.0238%12 Dec →
nuke13–60.0228%12 Dec →
dust213–80.0721%5 Dec →
anubis13–10.0619%27 Nov →
ancient13–40.0626%26 Nov →
train11–13-0.0221%16 Nov →
train13–70.0525%14 Nov →
nuke16–140.0432%9 Nov →
inferno8–130.0425%15 Oct →
ancient4–13-0.0217%15 Oct →
mirage12–120.0228%14 Oct →
dust213–80.1724%7 Oct →
anubis6–13-0.0324%6 Oct →
inferno14–160.0817%4 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.