môt — CS2 Stats

76561198189706645[U:1:229440917]

1,323Tracked matches40%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGmôtFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning46
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateLLLLWLWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.4
Aggression3.2
Utility4.2
Positioning4.6
Opening Duels1.0
Clutch3.2

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.4
Positioning4.6
Utility4.2
Mechanics7.3
Opening Duels1.7
Win Impact1.7

Composite 5.2/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time590ms−21ms
first ⅓ avg 611ms → last ⅓ avg 590ms
Headshot accuracy24.9%+1.5%
first ⅓ avg 23.4% → last ⅓ avg 24.9%

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

0.18Best rating — train 13–10
131Biggest win — inferno
4Longest win streak
L4Current streak
107In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 70% over 20ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC43172640%0.03
infernoS2014670%0.03
ancientD92722%0.01
dust2A95456%0.03
anubisA74357%0.03
nukeD62433%0.03
overpass21150%0.01
train21150%0.05
cache1010%0.01
vertigo110100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches
59%Win rate
1.24Avg K/D
87.1ADR
53%Headshot %

Clutches & streaks

36%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.2418.0
Ancient10%1.1919.0
Inferno1100%2.0024.0
Overpass1100%1.1530.0

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.

24.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
30.7%Spray accuracy
83.0%Counter-strafing
8.6°Preaim
588msReaction time
24.5%T opening success
43.6%CT opening success
0.61Enemies flashed / flash
3.1%Flash assists
13.43HE damage / grenade
3.58Flashes / 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 3.5772 — below the 4 mark we flag

    Grenade Lineups
  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 24.4931% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0312%25 Aug
anubis7–13-0.0018%25 Aug
mirage11–130.0528%24 Aug
mirage5–13-0.0521%24 Aug
mirage13–40.0129%20 Aug
cache11–130.0117%18 Aug
inferno13–100.0216%18 Aug
mirage13–70.0328%17 Aug
inferno5–13-0.0143%17 Aug
inferno13–11-0.0144%12 Aug
mirage13–9-0.0321%12 Aug
ancient13–8-0.0123%11 Aug
nuke14–160.0024%7 Aug
nuke13–50.1332%16 Jul
inferno14–160.0623%24 Jun
anubis13–20.0722%24 Jun
ancient1–13-0.1417%24 Jun
mirage13–160.0429%10 Jun
overpass11–130.0222%4 Jun
ancient7–130.0422%3 Apr
mirage13–70.0235%3 Apr
nuke9–130.0124%2 Apr
dust210–130.0118%2 Apr
mirage7–130.0023%26 Mar
mirage7–13-0.0716%10 Mar
mirage6–130.0124%10 Feb
dust213–100.0534%7 Feb
inferno13–110.0726%7 Feb
dust213–11-0.0121%5 Feb
inferno2–13-0.0137%2 Feb
mirage9–130.0724%24 Jan
mirage13–70.1423%24 Jan
dust25–13-0.0228%24 Jan
mirage13–100.0517%24 Jan
mirage8–13-0.0512%24 Jan
inferno13–7-0.0120%24 Jan
anubis13–80.0620%24 Jan
ancient7–130.0432%19 Jan
dust213–70.0821%21 Dec
ancient10–130.0729%21 Dec
mirage13–80.0121%26 Jul
overpass13–90.0017%26 Jul
mirage8–13-0.0221%24 Jul
mirage13–110.0426%24 Jul
mirage8–130.0124%22 Jun
mirage13–20.1120%22 Jun
dust215–15-0.0224%22 Jun
train13–100.1824%19 May
ancient7–130.0011%19 May
mirage15–150.0121%24 Apr
mirage15–150.0218%7 Apr
nuke13–100.0736%20 Mar
inferno13–100.0520%13 Mar
mirage10–130.0920%13 Mar
anubis10–130.0216%5 Mar
inferno13–10.0322%5 Mar
nuke4–130.0025%1 Mar
anubis13–80.0526%25 Feb
inferno9–130.0314%18 Feb
mirage13–110.0527%17 Feb
mirage13–50.1529%17 Feb
ancient13–70.0320%17 Feb
mirage10–130.0220%17 Feb
inferno13–100.0421%15 Feb
mirage13–70.0518%15 Feb
mirage10–130.0419%15 Feb
mirage13–60.0019%15 Feb
inferno16–140.0812%13 Feb
dust213–90.0332%11 Feb
mirage7–130.0050%10 Feb
inferno15–150.0325%10 Feb
mirage9–130.0516%9 Feb
mirage16–140.0617%8 Feb
inferno16–140.0319%5 Feb
inferno13–2-0.0136%5 Feb
inferno13–70.0415%5 Feb
mirage4–13-0.0712%5 Feb
mirage10–130.0118%4 Feb
inferno10–130.0218%4 Feb
mirage11–130.0623%4 Feb
mirage13–60.0931%3 Feb
mirage13–40.0323%3 Feb
anubis2–13-0.0118%3 Feb
ancient9–13-0.0317%30 Jan
train5–13-0.0827%28 Jan
inferno13–110.0922%28 Jan
inferno16–12-0.0024%26 Jan
mirage13–100.0520%26 Jan
mirage15–150.0922%23 Jan
mirage2–13-0.0335%23 Jan
vertigo13–90.0818%23 Jan
mirage5–13-0.0130%23 Jan
dust211–130.0736%21 Jan
mirage3–130.0419%21 Jan
dust213–50.0630%20 Jan
anubis16–140.0116%19 Jan
inferno13–90.1224%19 Jan
mirage0–70.0133%19 Jan
mirage4–13-0.0318%17 Jan
ancient5–130.0717%17 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 →