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ZIGGY doodoo — CS2 Stats

76561198852778085[U:1:892512357]✓ No bans

859Tracked matches38%Win rate2020Tracked since
CSDB Rating4.1 Developing
FaceitLevel 2 · 585 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGZIGGY doodooFACEITLevel 2 · 585 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning47
Utility36

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateLWTLLLWLLW

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

Player DNA

Aim5.6
Aggression6.4
Utility3.6
Positioning4.7
Opening Duels3.3
Clutch2.2

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 83% playstyle similarity

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

Where you differ: 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. 61% 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 61% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim5.6
Positioning4.7
Utility3.6
Mechanics6.4
Opening Duels3.8
Win Impact1.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time667ms−50ms
first ⅓ avg 716ms → last ⅓ avg 667ms
Headshot accuracy22.0%−5.0%
first ⅓ avg 27.0% → last ⅓ avg 22.0%

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

0.11Best rating — dust2 8–1
13–1Biggest win — mirage
5Longest win streak
7–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 24% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC2710–1737%-0.02
dust2D256–1924%-0.04
infernoA2313–1057%-0.03
anubisC104–640%-0.02
overpassA53–260%-0.05
cache—32–167%0.00
nuke—32–167%-0.00
ancient—20–20%-0.06
train—21–150%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

152Matches
44%Win rate
0.74Avg K/D
62.6ADR
49%Headshot %

Clutches & streaks

31%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5646%0.7213.3
Dust23546%0.7912.2
Inferno2941%0.7011.7
Anubis1040%0.649.9
Overpass5100%0.6912.4
Nuke40%0.7713.8
Ancient40%0.528.8
Train250%1.0818.0

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.

22.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.4%Spray accuracy
78.9%Counter-strafing
10.3°Preaim
676msReaction time
26.1%T opening success
60.6%CT opening success
0.67Enemies flashed / flash
1.9%Flash assists
5.25HE damage / grenade
6.70Flashes / 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 26.0786% — 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.

24% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0319%6 Aug →
dust213–8-0.0429%6 Aug →
anubis15–15-0.0129%3 Aug →
dust211–13-0.0640%30 Jul →
inferno5–13-0.0117%27 Jul →
mirage10–130.0722%17 Jul →
cache13–40.0725%17 Jul →
mirage7–13-0.0322%13 Jul →
dust24–13-0.069%13 Jul →
cache13–7-0.0418%11 Jul →
mirage13–10.020%11 Jul →
anubis6–130.0012%24 Jun →
dust211–13-0.0132%24 Jun →
inferno13–9-0.0021%19 Jun →
anubis13–7-0.040%16 Jun →
inferno7–13-0.0927%16 Jun →
mirage13–60.0417%12 Jun →
mirage13–9-0.0413%12 Jun →
overpass3–13-0.0727%4 Jun →
dust26–13-0.0710%4 Jun →
inferno16–14-0.0421%2 Jun →
mirage7–130.0733%17 May →
mirage4–13-0.039%17 May →
dust213–90.009%17 May →
dust213–4-0.0123%16 May →
mirage8–13-0.0221%16 May →
mirage11–13-0.0813%16 May →
dust27–13-0.1033%9 May →
mirage10–13-0.0743%9 May →
dust26–13-0.0850%8 May →
inferno13–80.0414%8 May →
mirage10–130.0136%8 May →
anubis4–13-0.0729%5 May →
mirage8–130.0116%24 Apr →
inferno13–10-0.0614%14 Apr →
inferno13–7-0.0615%13 Apr →
inferno10–13-0.1011%13 Apr →
inferno7–13-0.0213%7 Apr →
mirage10–130.0221%1 Apr →
mirage13–7-0.1110%1 Apr →
inferno16–13-0.0817%31 Mar →
inferno13–60.0067%28 Mar →
inferno13–70.0046%27 Mar →
anubis13–3-0.0211%19 Mar →
nuke11–13-0.0246%16 Mar →
inferno5–13-0.148%14 Mar →
dust211–13-0.0218%14 Mar →
inferno13–10-0.0330%14 Mar →
mirage13–4-0.0526%10 Mar →
dust29–130.0028%6 Mar →
overpass13–11-0.0531%28 Feb →
anubis7–13-0.0633%25 Feb →
dust28–13-0.0726%25 Feb →
anubis6–13-0.0345%21 Feb →
mirage13–10-0.0424%18 Feb →
dust26–13-0.0338%18 Feb →
dust23–13-0.0632%17 Feb →
mirage13–10-0.0813%17 Feb →
anubis13–80.0926%17 Feb →
inferno16–13-0.0638%12 Feb →
anubis7–13-0.0139%12 Feb →
dust215–15-0.0327%10 Feb →
inferno8–13-0.0530%2 Feb →
anubis16–14-0.0432%30 Jan →
mirage11–13-0.0132%29 Jan →
nuke13–60.0538%29 Jan →
inferno15–15-0.0817%28 Jan →
mirage16–130.0438%27 Jan →
dust22–13-0.1025%27 Jan →
mirage13–2-0.0150%27 Jan →
mirage9–130.0131%25 Jan →
inferno13–160.0039%25 Jan →
overpass13–2-0.0529%25 Jan →
inferno13–50.038%25 Jan →
ancient9–13-0.0623%18 Jan →
mirage13–90.0322%18 Jan →
dust24–13-0.0626%18 Jan →
inferno1–13-0.0738%12 Jan →
mirage4–13-0.075%8 Jan →
nuke13–10-0.0420%6 Jan →
dust28–13-0.0729%6 Jan →
inferno13–9-0.0011%4 Jan →
train6–13-0.0830%4 Jan →
dust28–10.1138%4 Jan →
overpass7–13-0.0212%4 Jan →
dust29–13-0.0919%4 Jan →
inferno3–13-0.0360%19 Dec →
mirage15–15-0.0130%17 Dec →
train13–11-0.0126%16 Dec →
ancient11–13-0.0524%16 Dec →
mirage11–130.0123%12 Dec →
dust24–13-0.0430%12 Dec →
dust213–11-0.0735%10 Dec →
dust29–13-0.0238%9 Dec →
dust28–130.019%7 Dec →
mirage12–16-0.0530%7 Dec →
dust213–70.0426%4 Dec →
mirage6–13-0.0428%25 Nov →
inferno13–110.0522%25 Nov →
overpass16–14-0.0717%24 Nov →

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 →

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