Jummyy

Jummyy — CS2 Stats

US76561198125230168[U:1:164964440]Steam profile ↗VAC banned

845Tracked matches28%Win rate2024Tracked since
572Hours in CS
CSDB Rating1.5 Learning
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#30004 of 41593 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.8%41.4%44.2%6.4% short
Shot accuracy3.9%9.0%11.6%7.7% short
Kill/death ratio0.810.971.030.22 short
Match win rate37.4%43.7%45.2%7.9% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGJummyyPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim11
Positioning28
Utility32

0–100 skill scores via Leetify.

Recent form

COLD42553Last 10042%Win rateLLWLLLLLTL

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

Player DNA

Aim1.1
Aggression1.6
Utility3.2
Positioning2.8
Opening Duels0.0
Clutch0.0

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 57% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 32% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 705ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.1
Positioning2.8
Utility3.2
Mechanics1.6
Opening Duels0.2
Win Impact0.0

Composite 1.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.04
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time704ms−22ms
first ⅓ avg 726ms → last ⅓ avg 704ms
Headshot accuracy10.3%−7.9%
first ⅓ avg 18.2% → last ⅓ avg 10.3%

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.

Highlights

0.17Best rating — ancient 13–5
133Biggest win — inferno
4Longest win streak
L2Current streak
710In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 64% over 11nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C45192642%-0.02
mirageB147750%-0.03
anubisA117464%-0.02
infernoD93633%-0.03
nukeD81713%-0.05
ancientC83538%-0.00
overpass21150%0.01
office1010%-0.07
vertigo1010%0.00
train110100%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,819Lifetime kills
0.81K/D
1,676Matches
37.4%Match win rate
37.8%Headshot %
3.9%Shot accuracy
2,609MVPs
572Hours (in match)
1,355Bombs planted
270Bombs defused

Most-used weapons

Lifetime map wins

3,656dust2
1,645nuke
1,565vertigo
528inferno
87office
47train
39cbble
30lake

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

Faceit stats

Combat

1Matches
0%Win rate
0.15Avg K/D
26.7ADR
100%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.2%Headshot accuracy
24.5%Accuracy (enemy spotted)
22.5%Spray accuracy
57.4%Counter-strafing
10.5°Preaim
705msReaction time
14.2%T opening success
31.6%CT opening success
0.55Enemies flashed / flash
2.9%Flash assists
5.84HE damage / grenade
5.10Flashes / 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 11.1677% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.9935ms — above the 700ms mark we flag

    Aim Training
  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 14.1695% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.1012%30 Dec
inferno7–13-0.0432%30 Dec
inferno13–3-0.010%17 Dec
mirage8–13-0.073%16 Dec
nuke2–13-0.126%14 Dec
inferno11–13-0.0417%12 Dec
dust211–13-0.0617%10 Dec
dust23–13-0.0311%8 Dec
mirage15–15-0.0713%8 Dec
dust27–13-0.0412%30 Nov
dust29–13-0.0414%29 Nov
dust27–13-0.055%29 Nov
inferno9–13-0.0711%28 Nov
dust213–11-0.1215%26 Nov
dust22–13-0.088%25 Nov
dust213–11-0.0111%25 Nov
nuke8–13-0.085%25 Nov
inferno8–13-0.1012%24 Nov
mirage13–8-0.0813%24 Nov
inferno13–5-0.018%24 Nov
ancient5–13-0.0812%23 Nov
dust29–13-0.049%23 Nov
dust27–13-0.027%23 Nov
dust29–13-0.0414%23 Nov
mirage13–5-0.0121%23 Nov
dust29–13-0.0915%23 Nov
mirage3–13-0.089%22 Nov
dust213–5-0.024%22 Nov
dust213–50.052%22 Nov
dust29–13-0.058%21 Nov
dust213–9-0.047%21 Nov
dust210–13-0.120%20 Nov
dust211–13-0.087%20 Nov
dust212–120.0715%19 Nov
dust213–5-0.024%18 Nov
dust213–90.049%18 Nov
dust213–60.078%18 Nov
dust213–50.078%17 Nov
dust23–13-0.028%17 Nov
dust213–40.048%16 Nov
dust213–8-0.045%15 Nov
dust27–13-0.020%15 Nov
dust210–13-0.044%13 Nov
dust213–3-0.020%13 Nov
mirage8–13-0.080%11 Nov
dust28–13-0.0523%11 Nov
ancient13–50.1738%1 Nov
mirage13–10-0.0136%29 Oct
dust213–6-0.0223%29 Oct
inferno5–130.0325%29 Oct
office1–13-0.076%29 Oct
dust212–12-0.087%29 Oct
mirage13–110.0012%22 Oct
overpass6–13-0.0426%22 Oct
nuke4–13-0.0321%20 Oct
dust213–40.0727%20 Oct
nuke4–90.0329%20 Oct
overpass13–110.0614%20 Oct
dust213–6-0.0311%19 Oct
mirage13–160.0516%19 Oct
mirage7–13-0.009%27 Jun
anubis13–10-0.0412%27 Jun
anubis7–13-0.0611%26 Jun
anubis11–13-0.077%26 Jun
anubis13–5-0.017%25 Jun
anubis13–10-0.0510%24 Jun
inferno6–13-0.067%23 Jun
ancient11–13-0.005%23 Jun
dust29–13-0.0514%23 Jun
dust213–5-0.0317%23 Jun
dust26–13-0.110%19 Jun
ancient6–13-0.0410%17 Jun
mirage13–80.0116%17 Jun
inferno13–110.0613%17 Jun
dust211–13-0.017%17 Jun
ancient8–13-0.0813%17 Jun
anubis6–11-0.0225%17 Jun
anubis11–13-0.0524%16 Jun
dust213–50.0333%16 Jun
ancient0–13-0.0725%16 Jun
mirage13–9-0.0019%16 Jun
nuke2–13-0.0823%16 Jun
ancient13–90.0324%16 Jun
anubis13–10-0.079%16 Jun
nuke2–13-0.0727%16 Jun
anubis13–70.0217%16 Jun
anubis13–100.0120%16 Jun
dust213–70.0621%16 Jun
nuke13–110.0419%16 Jun
dust210–13-0.0225%16 Jun
ancient13–60.0515%16 Jun
mirage13–5-0.0318%16 Jun
dust23–130.0023%13 Jun
anubis16–140.0723%13 Jun
vertigo11–130.0034%12 Jun
mirage13–16-0.0525%11 Jun
train13–6-0.0018%11 Jun
dust213–80.0221%11 Jun
dust28–13-0.0615%11 Jun
dust211–13-0.084%10 Jun

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 →