doobz — CS2 Stats

76561198033113306[U:1:72847578]✓ No bans

1,020Tracked matches46%Win rate2020Tracked since
CSDB Rating5.5 Solid
Premier CS Rating13,991Blue band · top ~33.7% of ranked players (population est.)
CSDB Leaderboard#27019 of 42034 tracked
FaceitLevel 5 · 1,152 ELOTop 67.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGdoobzFACEITLevel 5 · 1,152 ELOSTANDINGTop 67.6% of rankedPREMIER13,991 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning55
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWLWLWWWLLT

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.8
Aggression6.0
Utility6.7
Positioning5.5
Opening Duels3.2
Clutch5.2

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 89% playstyle similarity

Most alike: utility contribution, 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

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 667ms 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

Aim5.8
Positioning5.5
Utility6.7
Mechanics8.1
Opening Duels3.2
Win Impact3.8

Composite 5.5/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time676ms+33ms
first ⅓ avg 642ms → last ⅓ avg 676ms
Headshot accuracy19.4%+3.8%
first ⅓ avg 15.6% → last ⅓ avg 19.4%

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

0.17Best rating — nuke 9–0
131Biggest win — ancient
10Longest win streak
912In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 67% over 15infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%0.01
mirageC2191243%-0.00
infernoD1551033%-0.00
ancientS1510567%0.00
nukeC125742%-0.00
anubisC94544%-0.02
overpass42250%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

680Matches
49%Win rate
1.14Avg K/D
73.3ADR
39%Headshot %

Clutches & streaks

46%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3152%1.0715.3
Dust22861%0.9012.5
Inferno1968%0.9914.9
Ancient1753%0.9715.7
Nuke1145%0.8313.8
Anubis60%0.6310.2
Overpass333%1.0013.3
Train1100%1.2018.0

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.

19.7%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.6%Spray accuracy
86.6%Counter-strafing
12.4°Preaim
667msReaction time
35.7%T opening success
49.9%CT opening success
0.83Enemies flashed / flash
7.9%Flash assists
7.07HE damage / grenade
9.81Flashes / 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 12.4268° — above the 12° mark we flag

    Aim Training
Spend your practice time on Inferno

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis16–14-0.0331%17 Feb
overpass11–13-0.0212%17 Feb
inferno16–140.0416%17 Feb
inferno0–8-0.050%17 Feb
nuke13–100.0228%17 Feb
dust213–4-0.0315%16 Feb
ancient13–10-0.0219%16 Feb
nuke8–130.0111%16 Feb
anubis7–130.0320%16 Feb
mirage15–150.0118%16 Feb
dust213–80.0525%16 Feb
inferno9–13-0.0313%16 Feb
dust29–130.0325%16 Feb
nuke2–13-0.0712%16 Feb
mirage13–7-0.0238%16 Feb
ancient13–10.0738%16 Feb
mirage13–4-0.0135%16 Feb
nuke14–16-0.0128%16 Feb
overpass13–9-0.039%16 Feb
mirage11–13-0.0218%16 Feb
mirage10–13-0.0420%16 Feb
dust29–13-0.0219%16 Feb
nuke13–50.0223%16 Feb
mirage6–13-0.0711%16 Feb
dust24–13-0.0125%15 Feb
inferno11–13-0.0410%15 Feb
inferno13–5-0.0519%15 Feb
dust215–150.0520%15 Feb
dust26–13-0.0615%12 Feb
mirage13–10-0.0111%11 Feb
inferno13–16-0.0215%11 Feb
inferno16–140.0122%10 Feb
inferno13–3-0.0121%10 Feb
mirage16–120.0924%10 Feb
dust216–140.0123%10 Feb
mirage13–90.0311%10 Feb
ancient13–10-0.0225%8 Feb
overpass13–110.0013%8 Feb
ancient16–13-0.0119%8 Feb
ancient13–50.0513%8 Feb
dust213–70.0125%8 Feb
ancient9–13-0.038%7 Feb
overpass4–13-0.076%7 Feb
inferno14–16-0.0523%7 Feb
inferno4–13-0.0321%7 Feb
mirage9–130.0010%7 Feb
dust216–140.0618%7 Feb
anubis13–8-0.0118%5 Feb
dust213–90.0433%4 Feb
ancient13–50.0613%4 Feb
mirage5–13-0.0417%4 Feb
nuke13–60.0217%4 Feb
ancient11–130.0129%4 Feb
mirage4–13-0.0419%4 Feb
mirage13–11-0.006%4 Feb
anubis11–13-0.0412%4 Feb
dust213–50.1324%3 Feb
inferno10–130.0828%3 Feb
anubis16–130.1219%27 Jan
inferno9–13-0.0521%27 Jan
ancient13–70.046%27 Jan
nuke8–13-0.0224%26 Jan
nuke9–3-0.0314%26 Jan
ancient13–6-0.0322%26 Jan
dust29–13-0.0811%26 Jan
mirage15–15-0.0214%26 Jan
nuke9–13-0.0129%26 Jan
anubis13–9-0.0619%26 Jan
inferno13–50.0919%26 Jan
dust21–13-0.0324%26 Jan
mirage13–11-0.007%26 Jan
ancient11–13-0.0417%26 Jan
dust210–130.0324%26 Jan
inferno11–13-0.0121%26 Jan
dust213–100.0114%25 Jan
ancient10–13-0.0511%25 Jan
mirage9–13-0.0710%25 Jan
dust26–130.0619%25 Jan
ancient13–90.008%25 Jan
mirage11–13-0.0113%25 Jan
dust215–15-0.0618%25 Jan
nuke6–13-0.058%25 Jan
dust213–90.0415%24 Jan
dust214–160.0319%23 Jan
nuke9–00.1720%23 Jan
inferno7–90.0717%23 Jan
anubis1–13-0.127%23 Jan
mirage13–20.0814%22 Jan
ancient13–8-0.0111%22 Jan
nuke10–13-0.0911%22 Jan
mirage15–15-0.0116%22 Jan
anubis6–13-0.0412%22 Jan
dust213–8-0.039%22 Jan
dust213–11-0.0320%21 Jan
dust213–70.0019%21 Jan
anubis5–13-0.0415%21 Jan
mirage4–13-0.0425%21 Jan
mirage13–100.0920%20 Jan
ancient10–130.0310%19 Jan
dust213–6-0.0222%19 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →