Marc J

Marc J — CS2 Stats

76561198118390085[U:1:158124357]Steam profile ↗✓ No bans

1,045Tracked matches50%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating22,513Top 25% of 200,982 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#47377 of 247877 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,513 +1,013 26 Feb – 31 Aug · 24 days played
20,85722,701peak 22,70126 Feb31 Aug
22,701Peak Premier in tracked matches
2,121Highest Faceit ELO seen on CSDB
58Days played since 2026-01-27

Faceit ELO

  • At peak — 2,121
  • Next: 2,500 ELO at 2,500 — 379 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 188 below peak (22,701)
  • +816 over 30 days · improving
  • Next: Red band at 25,000 — 2,487 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGMarc JPREMIER22,513 · Pink bandPEAK ELO2,121csdb.gg/stats

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Performance scores

Aim86
Positioning66
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLLWWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +38ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 31%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 30%
  • Avg reaction 557ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 30%
  • Avg reaction 538ms

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 (+1.2 against its own average).

Aim8.6
Utility6.4
Positioning6.6
Opening Duels5.6
Clutch3.0

Sharp aimer

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 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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

Aim8.6
Positioning6.6
Utility6.4
Mechanics6.5
Opening Duels4.5
Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time540ms−71ms
first ⅓ avg 611ms → last ⅓ avg 540ms
Headshot accuracy28.4%+1.7%
first ⅓ avg 26.8% → last ⅓ avg 28.4%

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.

Personal bests

0.15Best match rating · 13–2 · inferno, 19 Jul →
46%Best headshot accuracy · 13–4 · mirage, 24 Jun →
375msFastest reaction time · 9–13 · inferno, 17 Jul →
13–1Biggest win · dust2, 22 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–13In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 71% over 7cacheWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC198–1142%0.02
cacheD184–1422%0.02
mirageA1811–761%0.02
anubisB157–847%0.01
overpassB105–550%0.00
nukeC73–443%-0.00
ancientS75–271%0.01
dust2A53–260%0.04
train—10–10%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

749Matches
52%Win rate
1.17Avg K/D
73.6ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
12%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3749%0.9214.7
Overpass2564%1.1317.1
Nuke2560%1.0415.0
Ancient2245%0.8513.3
Inferno944%1.1214.9
Mirage714%0.9717.6
Dust2520%0.7713.2
Train560%1.2319.4

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.

29.4%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.7%Spray accuracy
79.3%Counter-strafing
9.4°Preaim
532msReaction time
41.4%T opening success
54.3%CT opening success
0.59Enemies flashed / flash
7.2%Flash assists
8.93HE damage / grenade
11.56Flashes / match

Recommended for you

Spend your practice time on Cache

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 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0229%31 Aug →
cache6–13-0.0221%31 Aug →
anubis9–130.1337%20 Aug →
mirage13–90.0338%10 Aug →
cache13–20.0727%10 Aug →
cache10–13-0.0041%28 Jul →
inferno11–130.0314%25 Jul →
inferno16–130.0224%25 Jul →
nuke13–100.0639%24 Jul →
anubis13–90.0824%24 Jul →
inferno11–130.0927%23 Jul →
anubis5–13-0.0320%21 Jul →
anubis8–13-0.0024%20 Jul →
dust213–70.1026%20 Jul →
nuke10–130.0529%19 Jul →
inferno13–100.0341%19 Jul →
inferno13–20.1528%19 Jul →
inferno6–130.0430%19 Jul →
inferno9–13-0.0142%17 Jul →
cache2–13-0.0540%17 Jul →
mirage4–130.0127%17 Jul →
inferno13–6-0.0230%15 Jul →
cache11–130.0328%13 Jul →
anubis13–5-0.0131%12 Jul →
nuke13–60.0334%12 Jul →
mirage2–13-0.1015%12 Jul →
cache5–130.0335%12 Jul →
inferno16–130.0033%11 Jul →
cache13–110.0326%11 Jul →
mirage13–70.0715%5 Jul →
mirage13–60.0220%4 Jul →
dust210–130.0624%4 Jul →
mirage13–100.0520%3 Jul →
nuke7–13-0.0017%3 Jul →
ancient13–30.0633%3 Jul →
mirage16–120.0031%30 Jun →
inferno13–50.0013%30 Jun →
inferno0–8-0.0725%30 Jun →
dust27–13-0.0639%25 Jun →
mirage13–40.0646%24 Jun →
ancient13–11-0.0122%24 Jun →
cache11–13-0.0220%17 Jun →
mirage11–130.1030%7 Jun →
anubis10–130.0016%31 May →
inferno11–130.0015%30 May →
cache12–120.0324%30 May →
mirage13–4-0.0319%28 May →
cache12–12-0.0529%28 May →
cache12–120.0523%14 May →
cache12–12-0.0229%14 May →
anubis10–130.0122%14 May →
inferno10–13-0.0436%11 May →
cache6–130.0532%9 May →
cache13–70.0324%4 May →
cache11–130.0425%3 May →
cache12–120.0228%3 May →
cache8–130.0629%2 May →
inferno11–130.0242%2 May →
overpass7–13-0.0419%30 Apr →
cache13–2-0.0029%29 Apr →
anubis13–10-0.0217%28 Apr →
inferno10–130.0517%27 Apr →
mirage11–130.1435%27 Apr →
overpass14–160.0229%26 Apr →
train4–13-0.0613%24 Apr →
mirage4–13-0.0416%24 Apr →
mirage13–6-0.0027%22 Apr →
dust213–10.1340%22 Apr →
ancient14–160.0637%21 Apr →
mirage13–70.0218%19 Apr →
ancient6–130.0130%19 Apr →
anubis13–90.0416%18 Apr →
overpass7–13-0.0435%18 Apr →
inferno5–13-0.0127%9 Apr →
anubis11–13-0.0230%22 Mar →
nuke13–8-0.0032%22 Mar →
ancient16–120.0112%15 Mar →
nuke3–13-0.1042%15 Mar →
anubis10–30.0825%15 Mar →
anubis5–13-0.0129%4 Mar →
inferno13–50.0326%26 Feb →
mirage13–60.0130%26 Feb →
overpass11–13-0.0222%22 Feb →
mirage9–13-0.0637%21 Feb →
ancient13–90.0441%21 Feb →
anubis13–8-0.0719%19 Feb →
overpass13–7-0.0527%17 Feb →
ancient13–10-0.0923%13 Feb →
nuke6–13-0.0622%13 Feb →
overpass13–60.0833%12 Feb →
anubis7–13-0.0426%11 Feb →
overpass5–13-0.0314%1 Feb →
anubis13–7-0.0010%1 Feb →
dust213–5-0.0535%1 Feb →
mirage13–100.0221%1 Feb →
mirage8–130.0024%1 Feb →
overpass13–90.0225%31 Jan →
overpass13–90.0921%30 Jan →
inferno5–130.0129%30 Jan →
overpass22–20-0.0025%27 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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