CMJ

CMJ — CS2 Stats

LK76561198141019955[U:1:180754227]Steam profile ↗✓ No bans

372Tracked matches45%Win rate2022Tracked since
CSDB Rating4.8 DevelopingSupport
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim56
Positioning41
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateWLWWLTWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.0pp headshot accuracy · −24ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 600ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 651ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.6
Utility4.4
Positioning4.1
Opening Duels2.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 674ms 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

Aim5.6
Positioning4.1
Utility4.4
Mechanics7.7
Opening Duels1.1
Win Impact3.3

Composite 4.8/10 (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-0.01−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time664ms−20ms
first ⅓ avg 684ms → last ⅓ avg 664ms
Headshot accuracy15.2%+0.8%
first ⅓ avg 14.4% → last ⅓ avg 15.2%

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.

Personal bests

0.17Best match rating · 13–4 · mirage, 13 Feb
29%Best headshot accuracy · 13–10 · anubis, 23 Feb
391msFastest reaction time · 0–3 · cache, 8 Aug
13–3Biggest win · nuke, 4 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
48In matches decided by ≤2 rounds

Map breakdown

officeBest map · 60% over 5infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%0.02
dust2C114736%-0.02
nukeB105550%0.00
ancientA95456%0.02
overpassB84450%-0.00
infernoD82625%0.01
trainC73443%-0.00
anubisD62433%-0.00
officeA53260%-0.01
italy41325%0.00
cache31233%-0.06
grail330100%-0.02
vertigo32167%0.02
alpine110100%0.00
agency1010%-0.02
basalt1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
31.2%Spray accuracy
84.6%Counter-strafing
8.9°Preaim
674msReaction time
32.1%T opening success
36.7%CT opening success
0.72Enemies flashed / flash
8.6%Flash assists
8.97HE damage / grenade
6.63Flashes / 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 32.1489% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.048%8 Aug
cache0–3-0.060%8 Aug
nuke13–30.0414%4 Aug
cache13–11-0.0219%3 Aug
mirage4–130.029%3 Aug
mirage12–120.0418%2 Aug
nuke13–90.0620%2 Aug
mirage13–7-0.0019%1 Aug
cache7–13-0.1118%29 Jul
nuke11–13-0.0517%7 Jun
italy9–130.0418%6 Jun
alpine13–50.0015%6 Jun
overpass8–130.0913%1 Jun
inferno11–13-0.0112%31 May
overpass13–6-0.0115%12 Sept
ancient11–13-0.0711%7 Sept
mirage13–60.0218%7 Sept
overpass13–90.0117%7 Sept
mirage6–13-0.0224%7 Sept
dust213–110.009%7 Sept
dust25–13-0.0320%31 Aug
grail13–8-0.0612%29 Aug
nuke11–13-0.0414%26 Aug
office4–13-0.0820%23 Aug
italy11–70.0126%22 Aug
dust24–13-0.0615%20 Aug
mirage13–40.0125%20 Aug
italy6–13-0.0212%20 Aug
anubis6–13-0.0523%20 Aug
train3–13-0.029%19 Aug
office13–90.014%19 Aug
dust21–13-0.0916%19 Aug
mirage8–130.0713%17 Aug
ancient7–130.008%17 Aug
train13–30.0017%17 Aug
dust29–130.0322%17 Aug
mirage12–120.0423%17 Aug
nuke13–40.0623%17 Aug
nuke13–10-0.0310%17 Aug
overpass4–13-0.0314%17 Aug
mirage3–130.1020%17 Aug
dust24–13-0.0414%16 Aug
grail13–90.0210%16 Aug
anubis6–130.0416%16 Aug
overpass3–130.0415%16 Aug
nuke11–130.0313%15 Aug
mirage13–40.017%15 Aug
train0–13-0.0711%15 Aug
dust28–130.0311%15 Aug
mirage3–13-0.0517%15 Aug
dust213–110.0228%15 Aug
inferno8–13-0.0819%14 Aug
italy6–13-0.0217%14 Aug
office13–70.0013%13 Aug
agency5–13-0.0216%13 Aug
dust213–80.0116%13 Aug
overpass13–100.0119%13 Aug
mirage13–100.0120%13 Aug
mirage12–120.0115%12 Aug
grail13–11-0.039%12 Aug
inferno6–13-0.0027%27 Jul
anubis11–13-0.0714%16 Mar
train13–8-0.009%16 Mar
overpass0–7-0.100%15 Mar
mirage5–13-0.0513%15 Mar
inferno0–3-0.010%15 Mar
office7–13-0.0315%15 Mar
mirage6–13-0.0118%9 Mar
overpass13–7-0.0210%8 Mar
mirage13–90.0415%8 Mar
ancient13–40.0823%8 Mar
inferno13–60.0224%8 Mar
dust212–12-0.0012%2 Mar
mirage5–13-0.0013%2 Mar
inferno11–130.0314%2 Mar
ancient7–130.0310%2 Mar
train7–130.0112%28 Feb
vertigo13–5-0.0114%26 Feb
vertigo13–90.065%24 Feb
anubis13–40.016%24 Feb
anubis13–100.0929%23 Feb
inferno2–130.0320%23 Feb
anubis7–13-0.0414%22 Feb
ancient11–13-0.0212%21 Feb
dust213–7-0.0417%21 Feb
ancient13–70.0910%18 Feb
train13–60.0721%18 Feb
nuke0–90.0111%16 Feb
vertigo7–130.0015%16 Feb
ancient13–80.0215%16 Feb
office13–80.0311%15 Feb
ancient13–80.0211%15 Feb
train12–120.0016%15 Feb
nuke13–40.0311%15 Feb
inferno13–50.107%13 Feb
mirage13–40.1722%13 Feb
basalt12–120.0413%13 Feb
nuke3–13-0.0720%13 Feb
ancient13–90.007%12 Feb
mirage3–130.0115%12 Feb

Match data via Leetify.

Recent teammates

Milestones

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