Dizzler

Dizzler — CS2 Stats

US76561198048111785[U:1:87846057]Steam profile ↗

1,329Tracked matches46%Win rate2021Tracked since
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGDizzlerFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

COLD47467Last 10047%Win rateLWWWLLLLLL

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

Player DNA

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

Aim7.7
Aggression5.9
Utility4.4
Positioning5.2
Opening Duels2.8
Clutch2.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.7
Positioning5.2
Utility4.4
Mechanics7.3
Opening Duels2.8
Win Impact3.7

Composite 5.8/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time577ms−2ms
first ⅓ avg 580ms → last ⅓ avg 577ms
Headshot accuracy17.6%+0.8%
first ⅓ avg 16.9% → last ⅓ avg 17.6%

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 — overpass 10–1
130Biggest win — dust2
7Longest win streak
710In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 60% over 10anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B24111346%-0.00
anubisD1751229%-0.02
ancientB168850%-0.02
infernoA148657%-0.00
overpassA106460%0.01
mirageD93633%-0.02
cache43175%-0.04
nuke21150%0.01
vertigo220100%0.04
office1010%0.01
warden1010%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

123Matches
48%Win rate
0.87Avg K/D
81.9ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1443%0.9815.9
Vertigo1464%0.9114.8
Ancient1258%0.9317.3
Inferno838%0.9814.4
Dust2862%0.8510.5
Mirage743%0.6815.1
Overpass540%0.9113.4

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.

17.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
41.4%Spray accuracy
82.7%Counter-strafing
8.9°Preaim
581msReaction time
32.4%T opening success
50.1%CT opening success
0.67Enemies flashed / flash
2.8%Flash assists
6.08HE damage / grenade
6.86Flashes / 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 32.3935% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0212%23 Aug
mirage13–50.0216%22 Aug
dust213–8-0.0016%1 Aug
cache13–11-0.0529%1 Aug
dust26–13-0.0416%4 Jul
dust211–130.0320%4 Jul
anubis11–130.0320%3 Jul
inferno7–130.0215%3 Jul
dust27–13-0.0713%21 Jun
anubis4–13-0.0514%21 Jun
ancient4–13-0.0114%20 Jun
mirage11–13-0.083%19 Jun
overpass11–13-0.0326%19 Jun
dust215–15-0.0425%13 Jun
nuke8–80.0623%13 Jun
mirage13–7-0.0313%12 Jun
ancient13–6-0.0016%5 Jun
overpass10–10.1126%5 Jun
dust215–15-0.0225%5 Jun
dust213–9-0.0110%31 May
mirage15–15-0.0314%31 May
mirage11–13-0.0413%31 May
anubis10–13-0.0417%25 May
overpass13–110.0111%25 May
inferno13–9-0.0420%25 May
dust213–10-0.0018%25 May
dust213–100.0523%25 May
anubis4–130.0425%25 May
ancient15–15-0.0116%24 May
anubis13–6-0.0420%24 May
anubis9–13-0.0220%17 May
ancient13–40.0316%17 May
cache11–13-0.0721%17 May
overpass5–13-0.0512%3 May
inferno16–130.0318%3 May
dust213–20.0233%2 May
mirage8–13-0.0011%2 May
inferno10–13-0.0417%2 May
overpass13–60.0114%2 May
dust213–16-0.0314%2 May
cache13–11-0.0518%30 Apr
cache13–30.0216%30 Apr
dust27–13-0.0315%25 Apr
anubis13–50.0320%25 Apr
anubis5–13-0.0017%19 Apr
anubis10–130.0117%29 Mar
dust210–13-0.0219%14 Mar
dust216–12-0.0115%14 Mar
overpass13–80.0312%14 Mar
inferno13–6-0.0424%14 Mar
ancient13–10-0.0513%14 Mar
anubis13–90.0826%14 Mar
ancient13–7-0.0112%8 Mar
vertigo13–7-0.0124%7 Mar
mirage7–13-0.0213%1 Mar
anubis1–13-0.088%1 Mar
inferno4–13-0.0120%1 Mar
dust27–130.0718%1 Mar
ancient7–13-0.0215%1 Mar
inferno3–13-0.0333%28 Feb
overpass13–9-0.0115%28 Feb
inferno13–7-0.0019%28 Feb
dust216–120.0922%28 Feb
anubis6–13-0.0314%28 Feb
ancient13–110.0018%26 Feb
dust21–13-0.0135%26 Feb
dust213–40.0832%26 Feb
inferno5–9-0.1119%16 Feb
nuke9–7-0.0320%16 Feb
anubis7–13-0.0821%8 Feb
dust213–11-0.0614%8 Feb
anubis1–13-0.0911%7 Feb
ancient8–13-0.0722%1 Feb
anubis8–13-0.0712%1 Feb
ancient13–80.1013%1 Feb
dust213–10-0.0319%1 Feb
ancient6–13-0.1012%31 Jan
overpass13–3-0.0016%31 Jan
mirage13–90.039%31 Jan
dust213–00.0314%31 Jan
inferno16–140.0215%31 Jan
dust26–110.0016%29 Jan
anubis13–100.0018%29 Jan
ancient14–16-0.0513%29 Jan
inferno13–70.0335%29 Jan
anubis13–50.0522%29 Jan
inferno9–50.0521%29 Jan
vertigo9–40.0929%29 Jan
office2–130.0125%29 Jan
overpass11–130.0513%25 Jan
ancient13–6-0.019%25 Jan
dust211–130.0117%25 Jan
mirage8–13-0.036%25 Jan
dust215–15-0.038%25 Jan
inferno13–70.0719%25 Jan
inferno11–130.0529%25 Jan
overpass5–13-0.0718%24 Jan
ancient13–7-0.0422%24 Jan
ancient2–13-0.114%24 Jan
warden12–120.0220%24 Jan

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 →