d0ze — CS2 Stats

76561197965606664[U:1:5340936]✓ No bans

1,014Tracked matches43%Win rate2021Tracked since
CSDB Rating2.0 Learning
Premier CS Rating4,036Grey band · top ~82.9% of ranked players (population est.)
CSDB Leaderboard#18418 of 23814 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGd0zeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,036 · Grey bandcsdb.gg/stats

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Performance scores

Aim21
Positioning33
Utility44

0–100 skill scores via Leetify.

Recent form

COLD39574Last 10039%Win rateLWLLLWWLLT

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

Player DNA

Aim2.1
Aggression0.4
Utility4.4
Positioning3.3
Opening Duels0.0
Clutch4.2

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

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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

Areas to improve

T-side openings. Opening success drops from 30% on CT to 10% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim2.1
Positioning3.3
Utility4.4
Mechanics0.2
Opening Duels0.0
Win Impact2.6

Composite 2.0/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time638ms−66ms
first ⅓ avg 703ms → last ⅓ avg 638ms
Headshot accuracy11.3%+0.7%
first ⅓ avg 10.6% → last ⅓ avg 11.3%

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

0.10Best rating — cache 13–2
131Biggest win — anubis
5Longest win streak
98In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
cacheC1771041%-0.04
ancientD1531220%-0.06
anubisC145936%-0.06
dust2C135838%-0.01
mirageD123925%-0.06
infernoA117464%-0.04
nukeC104640%-0.05
overpass42250%-0.01
train21150%-0.02
vertigo220100%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches
40%Win rate
0.55Avg K/D
58.7ADR
33%Headshot %

Clutches & streaks

41%1v1 clutch win
6%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1718%0.487.6
Ancient1127%0.436.0
Anubis1080%0.7312.2
Nuke944%0.698.8
Inferno757%0.6110.0
Dust2650%0.7311.5
Vertigo20%0.529.0
Overpass250%1.2515.0

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.

10.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.0%Spray accuracy
50.7%Counter-strafing
12.1°Preaim
622msReaction time
10.1%T opening success
30.4%CT opening success
0.48Enemies flashed / flash
2.4%Flash assists
9.41HE damage / grenade
5.10Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1369° — above the 12° mark we flag

    Aim Training
  2. 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 10.8767% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4765 — below the 0.5 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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.024%28 Aug
inferno13–2-0.0324%28 Aug
nuke9–13-0.089%28 Aug
ancient6–13-0.0516%28 Aug
cache11–13-0.044%28 Aug
mirage13–7-0.0715%28 Aug
dust213–11-0.027%28 Aug
anubis10–13-0.0217%28 Aug
ancient6–11-0.0619%24 Aug
ancient12–12-0.045%22 Aug
anubis13–4-0.090%22 Aug
mirage3–13-0.0310%22 Aug
cache11–13-0.052%22 Aug
nuke13–5-0.070%22 Aug
overpass10–13-0.015%22 Aug
ancient10–13-0.056%22 Aug
anubis13–1-0.0340%22 Aug
inferno13–8-0.0717%22 Aug
cache5–13-0.0416%22 Aug
mirage12–12-0.0813%22 Aug
nuke8–13-0.0318%21 Aug
anubis3–13-0.113%21 Aug
inferno13–50.0910%21 Aug
overpass13–7-0.043%15 Aug
ancient2–13-0.0813%15 Aug
train13–110.0210%15 Aug
inferno6–13-0.087%15 Aug
dust25–130.0526%12 Aug
anubis13–50.0314%9 Aug
cache13–60.0811%9 Aug
nuke8–13-0.079%9 Aug
cache13–8-0.104%8 Aug
ancient8–13-0.0718%8 Aug
nuke13–6-0.008%8 Aug
dust29–130.0412%8 Aug
mirage4–13-0.0711%8 Aug
cache9–13-0.082%8 Aug
ancient3–13-0.085%8 Aug
inferno13–10-0.049%8 Aug
anubis13–4-0.0317%8 Aug
mirage12–12-0.0517%8 Aug
ancient12–12-0.047%8 Aug
inferno10–13-0.048%7 Aug
ancient9–13-0.073%7 Aug
nuke8–13-0.0110%7 Aug
anubis5–13-0.116%7 Aug
inferno4–13-0.063%6 Aug
cache13–20.1010%6 Aug
cache5–13-0.1013%1 Aug
dust29–13-0.1013%1 Aug
inferno1–13-0.080%1 Aug
anubis11–13-0.099%1 Aug
ancient13–6-0.067%1 Aug
anubis3–13-0.050%31 Jul
ancient14–16-0.043%31 Jul
inferno13–9-0.028%31 Jul
dust29–13-0.046%30 Jul
cache7–13-0.070%30 Jul
nuke13–11-0.027%30 Jul
cache16–14-0.0511%29 Jul
dust213–60.0711%29 Jul
ancient4–13-0.0313%29 Jul
anubis3–13-0.0819%29 Jul
cache5–13-0.0610%29 Jul
nuke7–13-0.0312%26 Jul
mirage8–13-0.1117%26 Jul
dust213–90.0215%26 Jul
cache10–13-0.055%26 Jul
cache13–11-0.013%24 Jul
anubis9–13-0.1021%24 Jul
dust25–13-0.069%24 Jul
inferno13–5-0.0518%24 Jul
train11–13-0.0713%24 Jul
cache7–13-0.0824%24 Jul
cache6–13-0.1216%23 Jul
mirage3–13-0.1020%23 Jul
dust210–13-0.0721%23 Jul
overpass5–13-0.088%23 Jul
anubis13–10-0.066%23 Jul
nuke9–6-0.105%23 Jul
vertigo9–7-0.103%23 Jul
inferno9–4-0.0610%23 Jul
overpass9–70.098%23 Jul
dust26–13-0.0225%22 Jul
vertigo13–4-0.043%22 Jul
mirage6–13-0.064%22 Jul
dust213–3-0.014%21 Jul
ancient13–10-0.0714%21 Jul
mirage3–13-0.054%21 Jul
ancient13–11-0.087%17 Jul
nuke11–13-0.054%17 Jul
mirage13–9-0.0210%17 Jul
anubis7–13-0.098%17 Jul
cache13–6-0.026%17 Jul
cache13–5-0.0418%16 Jul
ancient7–13-0.092%16 Jul
mirage11–13-0.0410%16 Jul
dust213–70.009%16 Jul
dust214–160.018%12 Jul
mirage13–11-0.0522%12 Jul

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 →