♦JLM♦

♦JLM♦ — CS2 Stats

TV76561198249192124[U:1:288926396]Steam profile ↗✓ No bans

611Tracked matches41%Win rate2020Tracked since
2,219Hours in CS1Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 611
−4.1ppWin rate · 44.8% → 40.7%

Rating over time

Premier CS Rating: 18,322 +1,788 15 Jun – 3 Jul · 3 days played
16,53418,322peak 18,32215 Jun3 Jul
18,322Peak Premier in tracked matches
42Days played since 2026-04-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim48
Positioning51
Utility40

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLWTLLWTLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · −44ms reaction

Win rate −10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 533ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 560ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim4.8
Utility4.0
Positioning5.1
Opening Duels1.9
Clutch4.8

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

jL

Plays most like jL 80% 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim4.8
Positioning5.1
Utility4.0
Mechanics1.5
Opening Duels2.5
Win Impact1.9

Composite 3.7/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time607ms−33ms
first ⅓ avg 640ms → last ⅓ avg 607ms
Headshot accuracy15.7%−1.3%
first ⅓ avg 17.0% → last ⅓ avg 15.7%

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

0.13Best match rating · 13–10 · nuke, 18 May →
50%Best headshot accuracy · 1–13 · ancient, 11 May →
414msFastest reaction time · 5–13 · dust2, 11 Oct →
13–1Biggest win · nuke, 3 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 58% over 12dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC187–1139%-0.03
ancientD173–1418%-0.04
nukeB158–753%-0.02
anubisB157–847%-0.02
overpassA127–558%-0.04
cacheB105–550%-0.03
dust2D81–713%-0.04
inferno—31–233%-0.07
shelter—10–10%-0.02
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,049Lifetime kills
1.10K/D · Top 50% of tracked players
7,736Matches
81.3%Match win rate · Top 1% of tracked players
39.9%Headshot %
20.1%Shot accuracy · Top 5% of tracked players
8,809MVPs
1,154Hours (in match)
3,073Bombs planted
756Bombs defused

Most-used weapons

AK-4716,190
AWP10,394
Knife1,778
SSG 081,320
P2501,313

Lifetime map wins

2,761inferno
2,740train
1,271cbble
829dust2
661nuke
257vertigo
184shorttrain
182office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

298Matches
50%Win rate
0.82Avg K/D
55.4ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1338%0.7111.7
Cache933%0.6612.2
Anubis850%0.5910.0
Mirage757%0.7711.7
Nuke633%0.6410.3
Overpass520%0.599.6
Inferno250%0.4010.0
Dust21100%0.5610.0

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.

16.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
44.3%Spray accuracy
56.8%Counter-strafing
10.6°Preaim
609msReaction time
36.5%T opening success
43.8%CT opening success
0.44Enemies flashed / flash
7.1%Flash assists
7.89HE damage / grenade
5.12Flashes / 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

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

    Enemies flashed per flash 0.4405 — below the 0.5 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 36.4578% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0112%31 Oct →
cache13–4-0.0412%31 Oct →
cache15–15-0.0320%12 Oct →
dust25–130.0113%11 Oct →
nuke10–13-0.0316%10 Oct →
anubis13–50.0015%10 Oct →
dust215–15-0.0217%10 Oct →
ancient14–16-0.0216%29 Aug →
nuke13–80.0219%29 Aug →
ancient13–16-0.1029%14 Aug →
nuke8–13-0.0713%6 Aug →
mirage10–13-0.0513%6 Aug →
mirage2–130.0430%1 Aug →
ancient13–10-0.099%1 Aug →
anubis8–13-0.0420%28 Jul →
inferno19–17-0.0414%26 Jul →
anubis13–10-0.0314%26 Jul →
dust27–13-0.0517%23 Jul →
mirage13–11-0.0425%23 Jul →
anubis8–130.0019%20 Jul →
nuke13–9-0.0314%20 Jul →
cache13–20.0713%13 Jul →
shelter12–12-0.0213%13 Jul →
cache8–13-0.0731%6 Jul →
nuke13–6-0.0631%6 Jul →
cache3–13-0.0516%6 Jul →
ancient12–16-0.065%4 Jul →
mirage6–13-0.006%4 Jul →
anubis13–10-0.0516%4 Jul →
overpass5–13-0.040%4 Jul →
inferno8–13-0.064%4 Jul →
nuke3–13-0.106%4 Jul →
nuke13–10.0219%3 Jul →
anubis13–110.1016%3 Jul →
ancient13–50.0019%2 Jul →
dust213–10-0.0519%30 Jun →
anubis6–130.0211%30 Jun →
overpass7–13-0.0727%29 Jun →
cache9–13-0.0719%29 Jun →
ancient7–130.0211%29 Jun →
anubis13–3-0.074%28 Jun →
overpass13–8-0.037%28 Jun →
mirage13–9-0.0325%27 Jun →
ancient14–16-0.038%26 Jun →
anubis5–13-0.0610%26 Jun →
ancient11–130.029%25 Jun →
ancient12–120.027%16 Jun →
anubis13–110.0012%16 Jun →
mirage13–80.0319%15 Jun →
ancient10–13-0.0226%15 Jun →
overpass6–13-0.087%15 Jun →
cache9–13-0.049%15 Jun →
overpass13–10-0.089%15 Jun →
nuke17–19-0.0418%14 Jun →
overpass3–13-0.0018%12 Jun →
mirage13–10-0.046%12 Jun →
nuke13–9-0.0613%12 Jun →
nuke11–13-0.0315%12 Jun →
dust26–13-0.110%12 Jun →
ancient9–13-0.0610%12 Jun →
overpass4–13-0.0710%11 Jun →
anubis9–13-0.0114%11 Jun →
ancient2–13-0.0523%11 Jun →
mirage13–20.0214%11 Jun →
ancient13–6-0.009%11 Jun →
anubis8–13-0.0526%11 Jun →
overpass13–9-0.044%7 Jun →
anubis7–13-0.0214%7 Jun →
mirage2–13-0.1013%2 Jun →
overpass13–60.0420%2 Jun →
mirage13–11-0.0211%2 Jun →
dust29–13-0.0328%2 Jun →
dust212–12-0.0011%21 May →
cache13–11-0.0017%21 May →
mirage8–13-0.0333%19 May →
nuke9–13-0.0225%18 May →
anubis5–13-0.0610%18 May →
mirage9–13-0.0629%18 May →
nuke13–100.1324%18 May →
overpass8–1-0.0336%18 May →
ancient9–13-0.0013%18 May →
ancient1–13-0.1250%11 May →
mirage6–13-0.0511%11 May →
mirage5–130.0416%10 May →
mirage7–13-0.094%30 Apr →
inferno4–13-0.1213%30 Apr →
anubis13–10-0.0613%29 Apr →
cache13–1-0.0111%29 Apr →
cache13–7-0.0213%29 Apr →
ancient8–13-0.0922%28 Apr →
mirage1–13-0.0817%28 Apr →
nuke16–140.0626%27 Apr →
mirage4–10-0.0524%26 Apr →
mirage13–9-0.0616%26 Apr →
vertigo5–13-0.094%26 Apr →
nuke13–10.0513%26 Apr →
dust26–13-0.0713%26 Apr →
nuke4–13-0.086%25 Apr →
overpass13–8-0.055%25 Apr →
overpass13–70.003%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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