Joe Cums*

Joe Cums* — CS2 Stats

76561198815684864[U:1:855419136]Steam profile ↗✓ No bans

1,377Tracked matches52%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating17,683Purple band · top ~17.7% of ranked players (population est.)
CSDB Leaderboard#10075 of 18227 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGJoe Cums*PREMIER17,683 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning51
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateLWLWWLTWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression8.1
Utility6.7
Positioning5.1
Opening Duels4.3
Clutch0.0

Strong CT-side openerEffective flashes

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, 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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.4
Positioning5.1
Utility6.7
Mechanics7.1
Opening Duels4.3
Win Impact5.6

Composite 6.3/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time616ms−4ms
first ⅓ avg 620ms → last ⅓ avg 616ms
Headshot accuracy27.8%+6.5%
first ⅓ avg 21.3% → last ⅓ avg 27.8%

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

0.17Best rating — ancient 13–0
130Biggest win — inferno
6Longest win streak
92In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 60% over 35infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A35211460%0.03
ancientA2011955%0.03
nukeA1810856%0.02
infernoC94544%0.02
mirageA95456%-0.01
anubis41325%0.01
overpass32167%0.02
cache21150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.63Avg K/D
72.9ADR
58%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.

27.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.7%Spray accuracy
81.8%Counter-strafing
8.7°Preaim
610msReaction time
37.5%T opening success
56.6%CT opening success
0.79Enemies flashed / flash
4.4%Flash assists
8.12HE damage / grenade
18.34Flashes / 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 37.466% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0418%11 Aug
dust213–5-0.0222%11 Aug
nuke5–13-0.0223%11 Aug
inferno13–00.1323%7 Aug
mirage13–20.0216%7 Aug
dust26–130.0225%7 Aug
ancient15–15-0.0321%7 Aug
anubis13–100.0428%7 Aug
cache13–70.0116%7 Aug
dust210–130.0826%7 Aug
dust28–130.0145%7 Aug
ancient13–00.1717%7 Aug
nuke16–140.0428%4 Aug
dust213–40.0641%23 Jul
dust213–110.0127%23 Jul
dust213–40.0833%23 Jul
nuke16–130.0418%17 Jul
cache10–13-0.0933%17 Jul
mirage16–130.0725%12 Jul
anubis7–130.0027%12 Jul
nuke10–13-0.0645%2 Jul
dust213–2-0.0537%2 Jul
ancient6–13-0.0422%2 Jul
inferno10–13-0.0826%2 Jul
nuke9–130.0329%2 Jul
ancient6–13-0.0320%29 Jun
inferno13–80.0233%29 Jun
ancient8–130.0441%29 Jun
ancient13–80.0338%28 Jun
mirage4–130.0135%28 Jun
mirage2–13-0.1117%28 Jun
ancient9–130.0038%3 Jun
dust23–13-0.0425%3 Jun
inferno1–13-0.0853%3 Jun
dust213–8-0.0130%3 Jun
ancient16–130.0225%3 Jun
dust213–00.1543%29 May
mirage3–13-0.0713%29 May
nuke9–130.0238%29 May
inferno7–10.0630%29 May
inferno7–13-0.0427%29 May
dust28–130.0624%11 Apr
overpass6–13-0.0326%11 Apr
ancient13–110.0119%11 Apr
nuke5–13-0.0526%11 Apr
mirage13–70.0218%11 Apr
ancient13–110.0325%1 Apr
mirage5–13-0.0519%1 Apr
ancient13–70.0624%31 Mar
mirage13–10-0.0325%31 Mar
overpass13–60.0223%31 Mar
dust213–11-0.0419%30 Mar
ancient11–130.0927%30 Mar
nuke12–20.0715%30 Mar
dust21–13-0.0412%30 Mar
nuke13–70.0929%30 Mar
dust213–110.0119%29 Mar
nuke13–2-0.0121%29 Mar
dust216–120.0325%29 Mar
dust213–100.1132%28 Mar
ancient13–30.0428%28 Mar
inferno15–150.0023%28 Mar
dust213–100.0828%28 Mar
dust213–80.0622%28 Mar
ancient13–110.0524%28 Mar
nuke10–130.0223%27 Mar
ancient15–15-0.0116%27 Mar
dust24–13-0.034%27 Mar
dust213–80.0818%27 Mar
nuke6–13-0.0120%27 Mar
nuke13–80.0118%27 Mar
dust213–80.0827%27 Mar
inferno13–30.0926%27 Mar
overpass13–30.0818%27 Mar
ancient13–5-0.0126%27 Mar
ancient4–130.0615%27 Mar
dust211–130.0432%27 Mar
ancient13–60.0319%27 Mar
dust213–160.0523%27 Mar
dust213–80.0333%27 Mar
inferno7–130.0815%26 Mar
dust213–10-0.0217%26 Mar
ancient8–13-0.0224%26 Mar
dust28–130.0329%26 Mar
dust213–80.1028%26 Mar
nuke13–110.0920%25 Mar
dust213–60.0819%25 Mar
nuke13–40.1426%25 Mar
ancient13–50.0124%25 Mar
anubis10–13-0.0112%23 Mar
dust213–160.0220%22 Mar
nuke13–70.0118%22 Mar
mirage13–30.0518%22 Mar
dust213–20.1529%22 Mar
nuke13–7-0.0623%21 Mar
anubis9–13-0.0119%21 Mar
dust213–110.0220%21 Mar
nuke8–130.0826%20 Mar
dust25–13-0.0624%20 Mar
dust27–130.0715%20 Mar

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 →