MATJEZZ

MATJEZZ — CS2 Stats

76561198153961939[U:1:193696211]Steam profile ↗✓ No bans

1,573Tracked matches43%Win rate2020Tracked since
3,053Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,563Top 50% of 215,558 CSDB-tracked playersPurple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#93122 of 261685 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (33 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: 19,563 -6,438 16 Jan – 13 Oct · 9 days played
19,56326,639peak 26,63916 Jan13 Oct
26,639Peak Premier in tracked matches
29Days played since 2026-01-16

Premier CS Rating

  • 7,076 below peak (26,639)
  • -1,807 over 30 days · declining
  • Next: Pink band at 20,000 — 437 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate42.6%48.2%50.9%8.4% short
Shot accuracy16.9%13.2%13.7%above
Kill/death ratio1.191.071.09above
Match win rate50.7%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMATJEZZFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,563 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning62
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWTLLWLWWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −2.1pp headshot accuracy · +19ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 544ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

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 (+2.6 against its own average).

Aim7.6
Utility2.7
Positioning6.2
Opening Duels5.5
Clutch0.0

Limited 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.

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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 585ms 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

Aim7.6
Positioning6.2
Utility2.7
Mechanics7.5
Opening Duels5.4
Win Impact2.8

Composite 5.9/10 (Solid), 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 -0.01 → last ⅓ avg -0.00
Reaction time564ms−50ms
first ⅓ avg 614ms → last ⅓ avg 564ms
Headshot accuracy18.1%−3.0%
first ⅓ avg 21.1% → last ⅓ avg 18.1%

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

0.28Best match rating · 9–1 · sanctum, 17 Mar →
50%Best headshot accuracy · 3–9 · inferno, 11 Apr →
438msFastest reaction time · 7–1 · inferno, 5 Aug →
13–1Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 60% over 15cacheWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC187–1139%-0.01
cacheC176–1135%0.01
infernoA159–660%-0.02
overpassA127–558%0.01
anubisA95–456%-0.00
poseidonB63–350%0.05
train—42–250%0.02
office—43–175%0.04
sanctum—33–0100%0.13
debris—21–150%-0.02
vertigo—22–0100%-0.01
eldorado—10–10%-0.05
fachwerk—11–0100%0.06
boulder—11–0100%0.12
dust2—11–0100%-0.00
italy—11–0100%0.08
stronghold—10–10%-0.05
alpine—10–10%0.02
warden—11–0100%0.03

Across the last 100 tracked matches.

Lifetime stats

161,947Lifetime kills
1.19K/D · Top 50% of Level 9 players
7,788Matches
50.7%Match win rate · Top 25% of Level 9 players
42.6%Headshot %
16.9%Shot accuracy · Top 25% of Level 9 players
20,238MVPs
3,053Hours (in match)
10,169Bombs planted
2,295Bombs defused

Most-used weapons

AK-4745,250
AWP33,617
P2503,792
FAMAS2,955
SSG 082,574

Lifetime map wins

11,525cbble
7,030inferno
5,609dust2
1,929train
1,523vertigo
1,182nuke
451office
186lake

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

Faceit stats

Combat

690Matches
61%Win rate
1.13Avg K/D
70.4ADR
43%Headshot %

Clutches & streaks

12%1v1 clutch win
4%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4457%1.0013.9
Inferno1942%0.8313.9
Overpass1369%1.0014.8
Dust21136%0.8214.9
Ancient520%0.7211.0
Vertigo540%1.0116.6
Cache475%1.2914.8
Nuke20%0.7613.0

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.

19.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.8%Spray accuracy
83.6%Counter-strafing
8.6°Preaim
585msReaction time
46.9%T opening success
56.2%CT opening success
0.29Enemies flashed / flash
6.9%Flash assists
9.28HE damage / grenade
2.50Flashes / 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 0.2916 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
debris9–50.099%19 Oct →
eldorado8–8-0.0527%19 Oct →
mirage9–130.0517%13 Oct →
mirage1–120.0114%13 Oct →
inferno16–120.0413%13 Oct →
cache8–13-0.0118%13 Oct →
fachwerk13–110.0623%10 Sept →
boulder13–60.1218%10 Sept →
cache1–13-0.0313%10 Sept →
mirage6–13-0.0412%6 Aug →
cache14–16-0.067%6 Aug →
inferno13–110.0123%6 Aug →
mirage9–13-0.027%6 Aug →
cache13–60.0840%6 Aug →
inferno13–10-0.096%6 Aug →
anubis13–100.0630%6 Aug →
inferno11–130.0021%6 Aug →
mirage13–16-0.0223%5 Aug →
inferno7–10.0410%5 Aug →
anubis13–16-0.0716%5 Aug →
mirage9–13-0.0016%5 Aug →
cache13–6-0.0227%5 Aug →
cache13–160.0634%5 Aug →
cache8–13-0.0723%5 Aug →
mirage13–9-0.0222%5 Aug →
mirage13–60.0219%23 Jul →
mirage13–110.0621%23 Jul →
debris4–9-0.1215%23 Jul →
mirage2–130.0127%17 Jul →
inferno3–13-0.0622%17 Jul →
mirage0–2-0.110%17 Jul →
mirage2–4-0.048%17 Jul →
cache13–11-0.0119%17 Jul →
cache4–13-0.0518%21 May →
cache9–130.0831%11 May →
cache13–70.0610%29 Apr →
cache7–130.0131%29 Apr →
cache13–10.1540%29 Apr →
cache9–13-0.009%29 Apr →
cache6–13-0.0223%28 Apr →
cache13–10.0630%28 Apr →
cache7–13-0.0429%28 Apr →
overpass16–140.1020%27 Apr →
train12–120.0823%27 Apr →
train13–20.0824%27 Apr →
dust213–6-0.0029%20 Apr →
italy13–70.0824%17 Apr →
vertigo13–70.0320%13 Apr →
anubis13–50.0114%11 Apr →
poseidon6–9-0.0323%11 Apr →
inferno3–9-0.0450%11 Apr →
anubis11–130.0119%4 Apr →
anubis13–110.0118%4 Apr →
anubis3–13-0.0325%4 Apr →
poseidon9–70.0727%26 Mar →
sanctum9–6-0.0220%26 Mar →
poseidon8–8-0.0526%26 Mar →
overpass1–13-0.0050%26 Mar →
inferno13–8-0.0440%26 Mar →
poseidon9–30.1035%26 Mar →
inferno16–14-0.0026%23 Mar →
mirage16–13-0.0615%22 Mar →
sanctum9–50.1423%22 Mar →
poseidon5–90.0224%22 Mar →
office13–40.1143%22 Mar →
office13–8-0.0321%22 Mar →
sanctum9–10.2818%17 Mar →
poseidon9–60.2039%17 Mar →
overpass8–13-0.0142%17 Mar →
overpass13–70.0223%17 Mar →
overpass0–2-0.100%17 Mar →
stronghold4–13-0.0512%6 Mar →
alpine4–130.0219%6 Mar →
warden13–70.0331%6 Mar →
train8–13-0.0414%26 Feb →
train13–9-0.0526%26 Feb →
vertigo13–11-0.0515%12 Feb →
mirage1–13-0.0314%2 Feb →
overpass13–20.1114%2 Feb →
mirage13–10-0.0524%2 Feb →
mirage13–5-0.0211%2 Feb →
inferno7–13-0.0733%2 Feb →
mirage0–2-0.010%2 Feb →
overpass0–13-0.0227%2 Feb →
anubis13–3-0.0223%2 Feb →
inferno0–2-0.090%25 Jan →
inferno0–13-0.0333%25 Jan →
overpass13–70.0041%25 Jan →
overpass13–80.024%22 Jan →
inferno13–11-0.0228%22 Jan →
inferno13–50.0111%22 Jan →
inferno13–8-0.0128%22 Jan →
mirage13–5-0.0119%22 Jan →
anubis13–8-0.0211%21 Jan →
office13–50.0130%21 Jan →
office12–120.0518%21 Jan →
anubis11–130.0024%21 Jan →
overpass13–60.0726%21 Jan →
overpass8–13-0.0426%16 Jan →
overpass13–4-0.0729%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.