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dzinas — CS2 Stats

76561198993018918[U:1:1032753190]✓ No bans

473Tracked matches38%Win rate2021Tracked since
585Hours in CS6Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Performance scores

Aim83
Positioning38
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWLLWWLLLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3
Aggression5.2
Utility7.1
Positioning3.8
Opening Duels0.8

Effective 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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower positioning 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. 0.94 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

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

Aim8.3
Positioning3.8
Utility7.1
Mechanics6.1
Opening Duels0.9
Win Impact1.0

Composite 5.4/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time472ms−146ms
first ⅓ avg 618ms → last ⅓ avg 472ms
Headshot accuracy14.3%−2.5%
first ⅓ avg 16.8% → last ⅓ avg 14.3%

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 12–16
13–1Biggest win — dust2
5Longest win streak
4–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 88% over 8trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2810–1836%0.01
dust2C177–1041%0.00
infernoD124–833%-0.07
trainD82–625%-0.00
officeD82–625%0.02
anubisS87–188%-0.00
vertigoD62–433%0.02
cacheS54–180%-0.00
nuke—42–250%-0.07
ancient—31–233%-0.00
overpass—11–0100%0.03

Across the last 100 tracked matches.

Lifetime stats

19,473Lifetime kills
1.14K/D · Top 50% of tracked players
1,131Matches
36.0%Match win rate
45.3%Headshot % · Top 50% of tracked players
12.6%Shot accuracy · Top 50% of tracked players
2,339MVPs
336Hours (in match)
593Bombs planted
177Bombs defused

Most-used weapons

AK-475,152
Desert Eagle3,215
M4A4 / M4A1-S2,950
AWP1,073
P2000 / USP-S892
Glock-18757
Galil AR657
SCAR-20532
MP9422
SSG 08360

Lifetime map wins

1,328dust2
1,083inferno
594vertigo
429nuke
377office
332train
93lake
60cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

14.2%Headshot accuracy
38.4%Accuracy (enemy spotted)
48.1%Spray accuracy
77.4%Counter-strafing
8.7°Preaim
522msReaction time
29.3%T opening success
37.3%CT opening success
0.94Enemies flashed / flash
6.7%Flash assists
14.25HE damage / grenade
9.90Flashes / 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 14.2458% — below the 15% mark we flag

    Aim Training →
  2. 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 29.3257% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–4-0.179%27 Aug →
inferno0–9-0.140%27 Aug →
dust25–130.078%27 Aug →
cache11–10.0316%27 Aug →
cache13–50.0322%27 Aug →
inferno2–9-0.0529%22 Aug →
mirage12–160.1314%22 Aug →
ancient9–13-0.0311%21 Aug →
mirage8–130.0224%21 Aug →
ancient13–30.0311%21 Aug →
train11–130.0514%12 Aug →
train11–13-0.0313%12 Aug →
mirage2–13-0.0319%12 Aug →
mirage13–50.0316%11 Aug →
inferno9–30.1225%9 Aug →
inferno5–90.0416%9 Aug →
dust213–50.0316%9 Aug →
inferno0–9-0.140%9 Aug →
dust21–13-0.0617%9 Aug →
mirage0–4-0.0433%9 Aug →
mirage16–140.029%8 Aug →
vertigo13–10-0.0014%29 Jul →
inferno13–4-0.0117%21 Jul →
dust213–10.1214%21 Jul →
mirage0–13-0.020%21 Jul →
dust21–13-0.057%21 Jul →
mirage13–60.0611%20 Jul →
mirage10–13-0.0613%20 Jul →
dust213–3-0.0136%16 Jul →
mirage3–13-0.0622%16 Jul →
mirage3–13-0.119%15 Jul →
dust20–2-0.060%15 Jul →
mirage15–15-0.067%15 Jul →
office10–130.0615%12 Jul →
office3–130.0819%12 Jul →
office5–13-0.0010%10 Jul →
dust215–150.0417%10 Jul →
nuke13–7-0.0116%26 Jun →
mirage7–130.025%26 Jun →
mirage5–13-0.037%26 Jun →
nuke13–70.0516%17 Jun →
nuke4–9-0.190%17 Jun →
train13–10.025%17 Jun →
train9–130.016%17 Jun →
train2–13-0.0717%17 Jun →
office12–12-0.0412%12 Jun →
mirage4–13-0.0312%12 Jun →
inferno2–100.070%12 Jun →
inferno8–8-0.1324%12 Jun →
anubis13–11-0.054%9 Jun →
anubis7–130.0324%9 Jun →
mirage13–90.0215%8 Jun →
vertigo13–100.0717%8 Jun →
vertigo9–13-0.0312%8 Jun →
nuke3–9-0.139%31 May →
anubis13–4-0.0714%31 May →
anubis3–10.0438%31 May →
anubis13–2-0.0110%31 May →
dust26–13-0.0525%25 May →
vertigo4–9-0.086%25 May →
inferno0–9-0.240%25 May →
ancient7–13-0.0111%25 May →
mirage5–130.0213%25 May →
mirage13–30.0417%25 May →
mirage13–160.0420%17 May →
inferno9–60.0023%17 May →
office13–70.0113%17 May →
office11–13-0.0114%17 May →
cache13–6-0.0413%7 May →
cache8–13-0.0612%6 May →
dust213–6-0.025%6 May →
dust213–100.029%2 May →
cache13–90.0311%1 May →
dust213–30.1112%28 Apr →
train11–13-0.0313%22 Apr →
train2–13-0.039%22 Apr →
train13–30.0715%22 Apr →
anubis13–6-0.038%15 Apr →
dust213–7-0.018%14 Apr →
mirage13–30.0615%14 Apr →
mirage13–40.0429%8 Apr →
dust21–5-0.0420%8 Apr →
vertigo11–130.1113%8 Apr →
vertigo8–130.0614%8 Apr →
inferno0–9-0.22100%3 Apr →
anubis13–5-0.0117%3 Apr →
anubis13–110.0619%3 Apr →
mirage8–13-0.015%26 Mar →
dust29–13-0.0118%26 Mar →
mirage11–130.0714%25 Mar →
office13–50.097%18 Mar →
office6–130.0120%18 Mar →
mirage13–90.0314%17 Mar →
dust210–130.0529%17 Mar →
overpass13–50.038%12 Mar →
mirage14–16-0.018%12 Mar →
dust29–13-0.0816%12 Mar →
mirage3–13-0.0823%9 Mar →
mirage13–40.0719%8 Mar →
mirage13–60.0217%6 Mar →

Match data via Leetify.

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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