MTM

MTM — CS2 Stats

76561198182747383[U:1:222481655]Steam profile ↗

73Tracked matches48%Win rate2026Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim66
Positioning47
Utility32

0–100 skill scores via Leetify.

Recent form

HOT39268Last 7353%Win rateWLWWTWWWLW

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

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

Aim6.6
Aggression4.3
Utility3.2
Positioning4.7
Opening Duels1.2

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 79% playstyle similarity

Most alike: opening-fight frequency, 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 49% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.6
Positioning4.7
Utility3.2
Mechanics5.3
Opening Duels2.3
Win Impact4.4

Composite 4.9/10 (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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time580ms−35ms
first ⅓ avg 615ms → last ⅓ avg 580ms
Headshot accuracy14.1%−2.1%
first ⅓ avg 16.3% → last ⅓ avg 14.1%

Rolling 5-match average across the last 73 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — office 13–2
130Biggest win — mirage
8Longest win streak
23In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 80% over 10officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB178947%-0.01
dust2B126650%-0.03
vertigoA116555%-0.01
mirageS108280%0.01
cacheS75271%0.00
officeD62433%0.04
nuke41325%0.04
ancient21150%0.07
anubis21150%-0.02
boulder21150%-0.00

Across the last 73 tracked matches.

Skill profile

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

15.7%Headshot accuracy
37.7%Accuracy (enemy spotted)
31.4%Spray accuracy
73.6%Counter-strafing
8.5°Preaim
596msReaction time
20.6%T opening success
48.7%CT opening success
0.52Enemies flashed / flash
6.3%Flash assists
3.97HE damage / grenade
4.37Flashes / 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 20.5735% — below the 40% mark we flag

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.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–20.0718%28 Aug
inferno13–16-0.0421%28 Aug
ancient13–90.0415%27 Aug
cache13–7-0.0617%27 Aug
dust212–12-0.0113%27 Aug
mirage13–9-0.0515%27 Aug
cache13–9-0.0117%25 Aug
mirage13–110.0611%25 Aug
office6–130.026%25 Jul
vertigo13–7-0.0412%25 Jul
mirage5–13-0.0511%25 Jul
inferno8–13-0.0616%24 Jul
mirage13–50.028%24 Jul
cache13–50.0524%24 Jul
inferno12–12-0.0621%24 Jul
vertigo13–40.0917%23 Jul
cache0–4-0.0114%23 Jul
dust27–130.0320%18 Jul
office11–130.0119%18 Jul
dust28–13-0.027%18 Jul
dust213–5-0.0316%18 Jul
dust212–12-0.056%18 Jul
dust29–130.0512%18 Jul
vertigo7–13-0.035%17 Jul
mirage5–13-0.0118%17 Jul
ancient8–130.098%17 Jul
vertigo2–130.0122%17 Jul
office13–50.0467%17 Jul
inferno13–10.014%17 Jul
vertigo8–130.0417%17 Jul
inferno13–8-0.0111%16 Jul
inferno12–120.027%16 Jul
cache9–13-0.024%16 Jul
vertigo13–20.0618%16 Jul
nuke13–20.0322%16 Jul
inferno11–130.0321%15 Jul
inferno13–9-0.0711%15 Jul
inferno13–30.0517%15 Jul
cache13–40.0219%15 Jul
nuke6–130.1115%15 Jul
inferno8–130.0114%14 Jul
nuke12–120.035%14 Jul
anubis9–13-0.0710%14 Jul
inferno13–11-0.0415%14 Jul
vertigo12–12-0.067%14 Jul
anubis13–70.024%14 Jul
inferno13–6-0.078%14 Jul
inferno12–12-0.069%14 Jul
vertigo12–12-0.0419%14 Jul
cache13–30.0310%14 Jul
vertigo13–4-0.0324%14 Jul
nuke7–130.0122%13 Jul
boulder11–130.018%13 Jul
mirage13–60.0223%13 Jul
boulder13–5-0.019%13 Jul
office10–13-0.0028%12 Jul
office13–20.1525%12 Jul
dust24–13-0.1314%12 Jul
dust213–6-0.0616%12 Jul
dust213–9-0.049%12 Jul
mirage13–00.010%12 Jul
inferno2–5-0.0213%12 Jul
office8–130.0411%12 Jul
mirage7–10.0725%12 Jul
vertigo13–5-0.0427%12 Jul
vertigo13–3-0.0317%12 Jul
mirage13–6-0.0011%9 Jul
inferno13–40.0817%9 Jul
mirage13–9-0.0125%9 Jul
dust213–6-0.0428%9 Jul
dust213–5-0.0218%9 Jul
inferno5–13-0.048%9 Jul
dust213–8-0.016%9 Jul

Match data via Leetify.

Recent teammates

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