randomJockel — CS2 Stats

76561198058650160[U:1:98384432]

1,601Tracked matches45%Win rate2020Tracked since
6,040Hours in CS1Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating21,755Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#10895 of 36480 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate63.3%47.2%49.9%above
Shot accuracy17.9%12.7%13.4%above
Kill/death ratio0.981.091.120.14 short
Match win rate42.4%46.6%48.4%6.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGrandomJockelPREMIER21,755 · Pink bandcsdb.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
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48466Last 10048%Win rateLWLTLLLWWL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression4.5
Utility5.5
Positioning4.4
Opening Duels1.5
Clutch0.4

Excellent counter-strafing

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 90% 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 585ms 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
Positioning4.4
Utility5.5
Mechanics9.0
Opening Duels1.5
Win Impact3.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time584ms−45ms
first ⅓ avg 629ms → last ⅓ avg 584ms
Headshot accuracy21.8%−2.5%
first ⅓ avg 24.3% → last ⅓ avg 21.8%

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

0.12Best rating — inferno 13–7
131Biggest win — cache
7Longest win streak
56In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 60% over 10ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C32131941%0.01
cacheB23121152%0.00
ancientC156940%-0.01
infernoA127558%0.01
mirageA106460%0.00
anubisC73443%-0.01
train110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

326,452Lifetime kills
0.98K/D
9,275Matches
42.4%Match win rate
63.3%Headshot % · Top 10% of Pink band
17.9%Shot accuracy · Top 25% of Pink band
19,848MVPs
4,804Hours (in match)
7,074Bombs planted
2,289Bombs defused

Most-used weapons

AK-47189,017
AWP26,184
P2503,064
FAMAS2,816
SSG 082,419

Lifetime map wins

11,417inferno
8,946dust2
3,756cbble
1,489nuke
1,399train
712vertigo
360dust
199italy

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

Faceit stats

Combat

414Matches
53%Win rate
1.09Avg K/D
90.0ADR
51%Headshot %

Clutches & streaks

22%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3100%1.4826.0
Dust2367%1.7119.7
Mirage2100%1.2512.5
Anubis2100%1.8219.5
Inferno10%0.6911.0

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.

21.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.1%Spray accuracy
90.5%Counter-strafing
10.4°Preaim
585msReaction time
37.0%T opening success
34.9%CT opening success
0.50Enemies flashed / flash
3.4%Flash assists
8.44HE damage / grenade
8.40Flashes / 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 37.0198% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.1015%18 Aug
cache13–8-0.0635%16 Aug
mirage8–13-0.0533%14 Aug
cache15–15-0.0213%14 Aug
anubis2–13-0.0332%8 Aug
cache8–130.0017%7 Aug
cache13–16-0.0019%7 Aug
anubis13–40.0419%7 Aug
cache13–7-0.0117%5 Aug
ancient8–130.0114%5 Aug
inferno13–10-0.0110%5 Aug
ancient8–13-0.0422%4 Aug
ancient13–60.0320%4 Aug
inferno13–5-0.0133%4 Aug
dust213–40.0124%1 Aug
cache13–5-0.0529%1 Aug
inferno13–60.0227%29 Jul
anubis13–100.0311%28 Jul
dust213–70.0539%28 Jul
ancient4–130.0215%28 Jul
dust211–130.0828%23 Jul
anubis3–13-0.049%23 Jul
ancient6–13-0.0311%23 Jul
inferno4–13-0.0421%23 Jul
ancient6–13-0.0819%22 Jul
cache4–13-0.0023%22 Jul
anubis5–13-0.0532%15 Jul
dust211–130.0021%15 Jul
cache13–40.024%15 Jul
cache13–80.0624%14 Jul
ancient9–13-0.0222%14 Jul
inferno13–30.0523%11 Jul
ancient13–60.0436%11 Jul
cache13–70.0230%11 Jul
mirage8–13-0.0419%7 Jul
dust212–12-0.0117%7 Jul
train13–40.0333%6 Jul
cache13–9-0.0411%6 Jul
dust26–130.0018%6 Jul
mirage13–4-0.038%6 Jul
ancient2–13-0.0733%5 Jul
ancient10–13-0.0017%5 Jul
inferno14–160.0516%5 Jul
dust25–130.0126%5 Jul
dust213–30.0532%22 Jun
dust213–7-0.0221%21 Jun
dust26–130.0026%19 Jun
mirage13–30.0820%18 Jun
dust213–7-0.0515%18 Jun
dust213–70.0435%17 Jun
cache11–130.0542%17 Jun
inferno13–10-0.0010%14 Jun
cache10–13-0.0125%12 Jun
dust213–110.0716%12 Jun
ancient13–70.0129%8 Jun
cache13–70.0229%28 May
dust213–11-0.0130%28 May
dust212–120.0116%27 May
cache11–130.0531%27 May
dust213–20.0117%26 May
cache13–70.0522%25 May
cache13–100.0225%17 May
dust216–140.0218%17 May
ancient8–13-0.0418%17 May
dust25–13-0.0318%16 May
anubis13–60.0316%15 May
inferno13–70.1230%15 May
mirage9–13-0.0521%15 May
dust22–13-0.0121%14 May
cache13–110.0119%14 May
dust212–120.1230%14 May
mirage5–13-0.0318%14 May
inferno13–6-0.0214%14 May
mirage13–80.0133%13 May
cache13–10.0142%13 May
cache7–130.0522%4 May
cache8–13-0.0620%4 May
dust28–130.0026%4 May
cache12–120.0325%28 Apr
cache5–13-0.0522%28 Apr
mirage13–110.0529%27 Apr
dust29–13-0.0235%27 Apr
ancient13–70.0536%27 Apr
ancient13–5-0.0215%24 Apr
anubis8–13-0.0812%21 Apr
dust210–13-0.0322%21 Apr
dust214–160.0225%20 Apr
dust24–13-0.0230%20 Apr
dust24–13-0.0041%14 Apr
inferno9–13-0.0425%14 Apr
dust216–130.0323%13 Apr
dust213–80.0423%13 Apr
dust27–130.0131%12 Apr
inferno10–13-0.0522%12 Apr
inferno12–120.0217%12 Apr
mirage13–90.0429%12 Apr
dust213–60.0322%11 Apr
mirage13–90.0618%11 Apr
ancient16–13-0.029%11 Apr
dust210–13-0.0527%5 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →