jojo — CS2 Stats

76561198152663419[U:1:192397691]

500Tracked matches67%Win rate2020Tracked since
CSDB Rating4.5 Developing
Premier CS Rating11,500Blue band · top ~46.9% of ranked players (population est.)
CSDB Leaderboard#33186 of 47748 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGjojoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,500 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWWWLWLLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim3.4
Aggression8.5
Utility4.8
Positioning5.6
Opening Duels4.8
Clutch3.0

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher 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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.4
Positioning5.6
Utility4.8
Mechanics2.7
Opening Duels4.8
Win Impact10.0

Composite 4.5/10 (Developing), 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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time644ms−30ms
first ⅓ avg 674ms → last ⅓ avg 644ms
Headshot accuracy13.5%−1.8%
first ⅓ avg 15.2% → last ⅓ avg 13.5%

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

0.44Best rating — overpass 9–0
131Biggest win — nuke
7Longest win streak
W4Current streak
59In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 64% over 11dust2Weakest map · 46% over 37
MapGradePlayedRecordWin rateAvg rating
dust2B37172046%-0.01
nukeB168850%-0.01
mirageB126650%-0.01
ancientA117464%0.02
anubisA85363%-0.01
infernoB84450%0.01
cache41325%-0.01
overpass41325%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

119Matches
51%Win rate
0.97Avg K/D
72.4ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust24055%0.9713.7
Mirage3746%1.0815.1
Nuke1747%0.9614.6
Inferno838%0.6610.9
Ancient633%0.8210.7
Anubis683%0.9112.2
Cache475%0.9614.8
Overpass1100%0.8214.0

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.

13.8%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.8%Spray accuracy
62.1%Counter-strafing
10.1°Preaim
647msReaction time
30.8%T opening success
67.8%CT opening success
0.56Enemies flashed / flash
10.2%Flash assists
10.57HE damage / grenade
2.41Flashes / 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 13.8421% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4059 — below the 4 mark we flag

    Grenade Lineups
  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 30.7534% — below the 40% mark we flag

Spend your practice time on Dust 2

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

46% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–50.027%24 Aug
ancient13–9-0.0210%24 Aug
ancient16–13-0.0122%17 Aug
dust213–110.0221%2 Aug
ancient11–130.0216%2 Aug
ancient13–80.0810%2 Aug
anubis6–13-0.067%2 Aug
dust212–160.0216%31 Jul
dust210–130.0114%31 Jul
dust25–12-0.0415%31 Jul
dust213–10-0.0814%30 Jul
inferno13–70.0318%30 Jul
nuke13–10.020%28 Jul
ancient8–13-0.019%28 Jul
dust213–8-0.0112%27 Jul
nuke13–8-0.0216%27 Jul
ancient13–100.0515%27 Jul
nuke13–110.0323%27 Jul
nuke10–13-0.0617%27 Jul
dust26–130.0210%27 Jul
cache13–80.036%26 Jul
dust213–90.067%26 Jul
anubis13–5-0.0419%25 Jul
mirage13–4-0.0717%25 Jul
nuke13–6-0.0214%25 Jul
mirage9–130.0113%25 Jul
cache10–13-0.049%24 Jul
ancient13–70.0111%22 Jul
dust216–140.0010%20 Jul
dust213–10-0.0124%17 Jul
nuke11–13-0.0215%17 Jul
dust215–15-0.0411%13 Jul
ancient9–130.0315%12 Jul
cache15–15-0.048%12 Jul
inferno13–6-0.0618%12 Jul
dust25–130.0423%11 Jul
cache12–16-0.0112%11 Jul
dust213–80.0613%11 Jul
nuke6–13-0.0612%10 Jul
mirage5–13-0.0911%10 Jul
mirage13–50.0121%9 Jul
dust214–160.0723%9 Jul
dust210–130.0111%4 Jul
dust211–13-0.0310%4 Jul
mirage13–80.068%30 Jun
ancient13–10-0.019%30 Jun
dust26–13-0.0811%29 Jun
anubis15–150.0217%28 Jun
dust29–13-0.0114%28 Jun
dust213–80.0318%27 Jun
inferno13–7-0.072%27 Jun
dust25–13-0.0616%26 Jun
dust29–13-0.0613%26 Jun
nuke14–160.0214%25 Jun
inferno3–13-0.0414%23 Jun
nuke9–13-0.045%23 Jun
mirage5–130.0310%23 Jun
anubis16–140.038%22 Jun
dust216–120.018%22 Jun
overpass11–130.0311%22 Jun
inferno7–13-0.0510%22 Jun
mirage16–190.0119%20 Jun
nuke10–13-0.0312%15 Jun
dust213–90.0619%15 Jun
overpass13–16-0.0213%14 Jun
nuke13–5-0.049%14 Jun
dust210–13-0.0512%14 Jun
dust211–13-0.0311%13 Jun
dust213–7-0.0319%13 Jun
dust213–110.0317%13 Jun
nuke3–13-0.1220%13 Jun
anubis13–50.0621%12 Jun
dust29–13-0.017%12 Jun
nuke13–70.0016%12 Jun
anubis13–8-0.0319%8 Jun
overpass13–160.0016%7 Jun
dust27–13-0.076%7 Jun
mirage9–13-0.0218%6 Jun
anubis13–40.0319%6 Jun
inferno5–13-0.028%6 Jun
mirage13–80.0221%6 Jun
dust211–13-0.0410%6 Jun
nuke10–13-0.0310%6 Jun
inferno11–130.0014%6 Jun
dust25–13-0.0314%6 Jun
dust213–90.0813%6 Jun
mirage13–7-0.007%6 Jun
inferno9–00.2821%5 Jun
nuke9–50.2712%5 Jun
overpass9–00.4423%5 Jun
nuke13–100.0222%5 Jun
dust213–8-0.0117%4 Jun
dust215–15-0.0720%4 Jun
anubis1–13-0.0817%2 Jun
ancient13–40.1017%1 Jun
mirage16–12-0.028%1 Jun
mirage7–13-0.0313%1 Jun
ancient15–15-0.0112%27 May
dust213–40.0119%27 May
dust216–130.0116%25 May

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 →