AWizzop — CS2 Stats

76561198133987536[U:1:173721808]

237Tracked matches56%Win rate2022Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating10,120Blue band · top ~54.3% of ranked players (population est.)
CSDB Leaderboard#25764 of 35698 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAWizzopFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,120 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning54
Utility32

0–100 skill scores via Leetify.

Recent form

HOT51409Last 10051%Win rateWWWWWWLWTL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression8.6
Utility3.2
Positioning5.4
Opening Duels4.1

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 644ms 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

Aim6.2
Positioning5.4
Utility3.2
Mechanics7.6
Opening Duels4.1
Win Impact7.0

Composite 5.4/10 (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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time652ms−18ms
first ⅓ avg 669ms → last ⅓ avg 652ms
Headshot accuracy16.9%+2.1%
first ⅓ avg 14.7% → last ⅓ avg 16.9%

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

0.13Best rating — mirage 13–8
131Biggest win — mirage
6Longest win streak
W6Current streak
117In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 83% over 6ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA25141156%0.01
infernoB157847%0.01
cacheC146843%0.00
ancientC125742%0.01
nukeB115645%0.01
dust2A95456%0.02
anubisB63350%-0.00
overpassS65183%0.04
train21150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
34.6%Accuracy (enemy spotted)
32.9%Spray accuracy
84.4%Counter-strafing
10.1°Preaim
644msReaction time
47.5%T opening success
45.3%CT opening success
0.57Enemies flashed / flash
6.6%Flash assists
10.32HE damage / grenade
2.36Flashes / 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. Grenades & Utility

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

    Flashes per match 2.3594 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–80.087%27 Aug
cache13–50.0315%22 Aug
mirage13–10-0.0416%18 Aug
dust213–60.1025%18 Aug
anubis13–11-0.0015%9 Aug
nuke13–80.0821%9 Aug
inferno10–13-0.0212%9 Aug
cache13–110.1027%5 Aug
mirage15–15-0.0510%3 Aug
cache5–13-0.0316%3 Aug
nuke4–13-0.0323%2 Aug
train9–13-0.0618%2 Aug
nuke13–110.0525%30 Jul
cache6–130.0327%29 Jul
mirage13–110.0217%28 Jul
mirage10–130.0317%26 Jul
nuke15–15-0.0218%23 Jul
cache12–120.0119%23 Jul
cache13–8-0.0717%22 Jul
mirage13–60.1118%22 Jul
cache7–13-0.0520%21 Jul
anubis11–130.088%20 Jul
cache13–30.0924%18 Jul
anubis6–13-0.036%18 Jul
dust26–13-0.0621%16 Jul
inferno13–110.0210%16 Jul
anubis13–4-0.019%16 Jul
mirage9–13-0.073%14 Jul
ancient15–150.0119%13 Jul
cache15–150.0220%11 Jul
mirage11–130.0815%11 Jul
inferno15–150.0124%11 Jul
cache13–80.0213%11 Jul
cache13–9-0.0419%8 Jul
mirage7–13-0.0323%8 Jul
cache11–130.0419%8 Jul
train13–6-0.0214%7 Jul
ancient13–90.0610%4 Jul
ancient13–110.0815%3 Jul
mirage13–30.039%3 Jul
mirage16–14-0.0120%3 Jul
mirage16–140.0218%3 Jul
ancient5–13-0.0215%2 Jul
nuke13–50.0323%2 Jul
anubis3–13-0.0820%1 Jul
dust213–11-0.0512%1 Jul
ancient12–16-0.0416%28 Jun
ancient13–40.016%23 Jun
mirage15–15-0.0011%21 Jun
inferno13–30.0424%21 Jun
dust26–130.0120%21 Jun
inferno13–40.0519%17 Jun
mirage8–130.0612%14 Jun
nuke8–130.0014%14 Jun
overpass13–100.059%14 Jun
nuke14–160.047%13 Jun
cache11–13-0.0410%13 Jun
dust213–80.0212%13 Jun
overpass10–13-0.0412%12 Jun
nuke15–15-0.0211%12 Jun
inferno9–13-0.0211%12 Jun
overpass16–140.0112%11 Jun
mirage11–7-0.027%11 Jun
ancient15–15-0.0014%9 Jun
dust28–13-0.0419%7 Jun
inferno13–9-0.068%6 Jun
ancient16–14-0.008%6 Jun
mirage13–70.075%4 Jun
mirage8–13-0.019%4 Jun
mirage2–13-0.026%4 Jun
ancient12–16-0.0112%4 Jun
inferno13–40.089%3 Jun
ancient13–40.0814%3 Jun
mirage10–130.0913%3 Jun
anubis13–100.0219%28 May
overpass13–70.0712%28 May
mirage9–13-0.1110%28 May
mirage13–80.1310%25 May
inferno6–13-0.0124%24 May
ancient8–130.0610%24 May
inferno7–130.0118%19 May
overpass13–40.1017%19 May
inferno6–13-0.0348%17 May
mirage13–5-0.0519%16 May
mirage13–60.0513%14 May
dust213–80.1219%14 May
dust213–40.0220%10 May
inferno9–13-0.027%10 May
nuke13–8-0.0311%8 May
dust211–130.0212%8 May
cache10–13-0.0712%6 May
ancient2–13-0.0521%5 May
mirage13–7-0.0621%4 May
mirage13–10.035%4 May
nuke11–13-0.0014%2 May
overpass13–90.0613%1 May
mirage13–90.0219%1 May
inferno6–13-0.0117%30 Apr
nuke13–8-0.0211%19 Apr
inferno13–70.0219%8 Apr

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 →