Crockpot Enjoyer

Crockpot Enjoyer — CS2 Stats

US76561198880930087[U:1:920664359]Steam profile ↗

252Tracked matches50%Win rate2022Tracked since
141Hours in CS
CSDB Rating4.7 Developing
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim55
Positioning52
Utility24

0–100 skill scores via Leetify.

Recent form

COLD55396Last 10055%Win rateWLTLLWLLLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.5
Aggression7.7
Utility2.4
Positioning5.2
Opening Duels3.1

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

b1t

Plays most like b1t 81% playstyle similarity

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

Where you differ: lower utility contribution; 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

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

Reaction time. 631ms 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

Aim5.5
Positioning5.2
Utility2.4
Mechanics5.4
Opening Duels3.1
Win Impact5.0

Composite 4.7/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time630ms+28ms
first ⅓ avg 601ms → last ⅓ avg 630ms
Headshot accuracy17.6%−4.1%
first ⅓ avg 21.7% → last ⅓ avg 17.6%

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.

Highlights

0.17Best rating — inferno 9–3
131Biggest win — nuke
5Longest win streak
56In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 71% over 7trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB29151452%-0.00
dust2A148657%-0.00
nukeB137654%0.00
mirageS128467%0.00
ancientA95456%0.01
overpassS75271%0.03
trainD62433%-0.02
cacheA53260%0.00
anubis31233%-0.02
poseidon1010%-0.17
dogtown110100%0.16

Across the last 100 tracked matches.

Lifetime stats

7,444Lifetime kills
0.85K/D
472Matches
41.3%Match win rate
51.5%Headshot % · Top 25% of tracked players
4.3%Shot accuracy
854MVPs
141Hours (in match)
362Bombs planted
89Bombs defused

Most-used weapons

Lifetime map wins

708inferno
590dust2
334nuke
258train
76vertigo
49lake
26italy
20cbble

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.

15.6%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.5%Spray accuracy
74.1%Counter-strafing
12.6°Preaim
631msReaction time
47.6%T opening success
36.9%CT opening success
0.43Enemies flashed / flash
2.4%Flash assists
7.89HE damage / grenade
2.77Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6433° — above the 12° 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups
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
nuke9–50.1421%28 Jul
inferno4–9-0.0823%28 Jul
inferno8–8-0.0519%19 Jul
inferno7–9-0.0229%19 Jul
ancient6–13-0.0516%15 Jul
anubis13–2-0.007%15 Jul
nuke3–130.0214%15 Jul
nuke8–13-0.0519%13 Jul
anubis10–13-0.0316%7 Jul
cache7–13-0.0127%7 Jul
cache13–100.0016%6 Jul
anubis7–13-0.0219%23 Jun
nuke13–9-0.0131%23 Jun
cache6–130.0220%23 Jun
poseidon7–9-0.1735%22 Jun
overpass13–7-0.0311%21 Jun
mirage11–13-0.0522%21 Jun
nuke13–50.0117%15 Jun
cache13–90.013%26 May
ancient12–12-0.0213%26 May
cache13–3-0.0017%26 May
inferno13–50.0011%25 May
ancient13–20.0319%24 Feb
inferno9–13-0.0615%23 Dec
overpass7–10.119%23 Dec
inferno13–11-0.068%23 Dec
mirage13–90.0418%2 Nov
mirage12–120.0110%29 Sept
nuke13–10.047%29 Sept
inferno9–70.0420%28 Sept
nuke9–70.0138%12 Sept
inferno6–130.0211%12 Sept
inferno13–60.0123%8 Sept
inferno3–13-0.0320%8 Sept
train6–130.0214%8 Sept
inferno6–13-0.0817%3 Sept
nuke6–13-0.0413%3 Sept
mirage13–90.0717%1 Sept
overpass13–60.1122%1 Sept
inferno11–13-0.0616%29 Aug
inferno13–8-0.0121%21 Aug
inferno0–13-0.0825%19 Aug
inferno13–7-0.0114%17 Aug
inferno13–100.0416%17 Aug
inferno13–20.009%17 Aug
dust210–13-0.0734%15 Aug
nuke9–130.0210%14 Aug
inferno6–13-0.038%13 Aug
nuke15–15-0.0111%13 Aug
train13–100.0125%12 Aug
inferno11–13-0.0017%12 Aug
ancient12–12-0.0110%12 Aug
inferno13–70.0419%11 Aug
overpass9–130.0221%11 Aug
inferno7–13-0.053%10 Aug
nuke13–11-0.0311%10 Aug
mirage13–40.0312%10 Aug
inferno13–10-0.0411%6 Aug
ancient13–8-0.009%6 Aug
overpass4–13-0.0911%5 Aug
train0–13-0.0721%5 Aug
nuke13–9-0.0313%5 Aug
nuke10–13-0.0117%5 Aug
dust213–9-0.0614%5 Aug
mirage11–80.0713%4 Aug
dust213–90.0417%4 Aug
dust27–130.029%4 Aug
overpass13–80.0316%3 Aug
inferno6–9-0.0226%3 Aug
dogtown9–40.1611%3 Aug
inferno9–30.0229%3 Aug
inferno13–3-0.0123%2 Aug
train2–13-0.0633%2 Aug
mirage13–11-0.0314%2 Aug
dust213–3-0.039%2 Aug
inferno9–30.1742%2 Aug
inferno7–90.1433%2 Aug
mirage13–20.0016%2 Aug
train7–13-0.0315%2 Aug
dust213–30.0519%2 Aug
dust213–20.0717%2 Aug
overpass13–30.0312%1 Aug
ancient13–70.0316%1 Aug
inferno13–50.0731%31 Jul
dust28–13-0.0313%31 Jul
mirage13–90.019%30 Jul
dust213–6-0.0325%30 Jul
dust212–12-0.0020%30 Jul
inferno13–60.0421%29 Jul
dust213–10-0.0329%29 Jul
ancient13–20.1017%29 Jul
mirage10–13-0.0220%27 Jul
mirage13–1-0.0230%27 Jul
dust213–1-0.0219%27 Jul
train13–90.0340%27 Jul
ancient13–100.0420%27 Jul
dust29–13-0.0020%27 Jul
ancient6–130.0022%25 Jul
dust29–130.0238%25 Jul
mirage4–13-0.0512%25 Jul

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 →