mat

mat — CS2 Stats

DE76561198121484503[U:1:161218775]Steam profile ↗✓ No bans

1,132Tracked matches54%Win rate2022Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating17,448Purple band · top ~18.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 17,448 +4,194 29 May – 1 Oct · 31 days played
12,47619,384peak 19,38429 May1 Oct
19,384Peak Premier in tracked matches
41Days played since 2026-05-29

Premier CS Rating

  • 1,936 below peak (19,384)
  • -399 over 30 days · steady
  • +2,093 over 90 days
  • Next: Pink band at 20,000 — 2,552 to go
  • Reached: 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.GGmatFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,448 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateWTLWWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.1pp headshot accuracy · +16ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.7
Utility5.0
Positioning5.6
Opening Duels3.2
Clutch5.4

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim5.7
Positioning5.6
Utility5.0
Mechanics4.8
Opening Duels4.9
Win Impact6.2

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time542ms−39ms
first ⅓ avg 581ms → last ⅓ avg 542ms
Headshot accuracy16.6%+1.7%
first ⅓ avg 14.8% → last ⅓ avg 16.6%

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 · 13–5 · overpass, 4 Jun →
50%Best headshot accuracy · 2–6 · mirage, 26 Sept →
391msFastest reaction time · 13–5 · inferno, 26 Sept →
13–1Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–10In matches decided by ≤2 rounds
20Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.01
mirageA159–660%-0.01
nukeS1510–567%0.00
cacheA159–660%0.01
ancientC156–940%-0.01
dust2D51–420%-0.04
overpassS54–180%0.04
anubis—30–30%-0.04
debris—20–20%-0.03
vertigo—22–0100%0.02
boulder—10–10%-0.05
eldorado—11–0100%0.02
train—11–0100%0.05
poseidon—10–10%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
62%Win rate
1.21Avg K/D
79.4ADR
37%Headshot %

Clutches & streaks

47%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.2817.0
Overpass475%1.4318.8
Nuke367%1.1615.7
Ancient10%0.5815.0
Anubis10%0.7814.0

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.

15.7%Headshot accuracy
31.1%Accuracy (enemy spotted)
38.5%Spray accuracy
71.5%Counter-strafing
11.0°Preaim
538msReaction time
50.8%T opening success
48.1%CT opening success
0.55Enemies flashed / flash
5.1%Flash assists
8.76HE damage / grenade
7.29Flashes / match

Recommended for you

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.

20% win rate across 5 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
mirage13–80.0021%1 Oct →
debris8–80.0218%1 Oct →
inferno7–90.037%1 Oct →
inferno13–1-0.0315%30 Sept →
mirage13–100.0312%30 Sept →
dust212–16-0.0718%29 Sept →
nuke6–13-0.049%28 Sept →
anubis14–16-0.0019%28 Sept →
cache13–6-0.0327%28 Sept →
cache13–4-0.0015%28 Sept →
inferno13–5-0.063%26 Sept →
mirage2–6-0.1250%26 Sept →
inferno9–13-0.0613%25 Sept →
anubis11–13-0.0512%25 Sept →
cache8–10.0125%25 Sept →
mirage13–110.0420%23 Sept →
cache9–13-0.0214%23 Sept →
cache16–13-0.0015%16 Sept →
nuke13–8-0.049%14 Sept →
cache15–150.0221%14 Sept →
cache14–16-0.0210%14 Sept →
inferno16–140.0510%14 Sept →
overpass9–2-0.0029%14 Sept →
ancient13–9-0.027%7 Sept →
cache14–16-0.0420%6 Sept →
inferno12–160.0324%31 Aug →
cache15–150.0018%31 Aug →
cache13–60.0716%30 Aug →
mirage4–13-0.0617%30 Aug →
vertigo13–7-0.0213%30 Aug →
dust29–13-0.048%28 Aug →
ancient9–13-0.0317%28 Aug →
cache13–90.1215%26 Aug →
vertigo13–30.0615%26 Aug →
boulder8–13-0.054%26 Aug →
inferno13–9-0.034%26 Aug →
mirage0–6-0.0525%26 Aug →
cache13–60.046%24 Aug →
inferno10–13-0.0417%16 Aug →
debris8–8-0.078%10 Aug →
inferno9–6-0.0514%10 Aug →
inferno13–100.0313%27 Jul →
nuke11–130.0011%27 Jul →
mirage13–20.0613%27 Jul →
nuke16–13-0.0111%23 Jul →
mirage13–7-0.0411%23 Jul →
ancient13–100.045%21 Jul →
cache13–100.009%20 Jul →
nuke13–50.0914%20 Jul →
inferno13–50.0318%20 Jul →
nuke15–150.048%20 Jul →
dust23–13-0.085%20 Jul →
nuke9–13-0.0215%19 Jul →
ancient13–16-0.0612%19 Jul →
cache13–11-0.027%19 Jul →
eldorado9–40.0215%19 Jul →
ancient10–130.029%13 Jul →
mirage13–70.0121%13 Jul →
ancient13–5-0.0118%11 Jul →
nuke13–100.0311%11 Jul →
nuke16–140.0113%5 Jul →
ancient14–16-0.009%19 Jun →
cache5–130.0213%17 Jun →
train13–80.050%17 Jun →
dust213–6-0.0110%17 Jun →
inferno13–50.122%17 Jun →
inferno4–9-0.1310%17 Jun →
nuke15–150.039%16 Jun →
overpass7–13-0.0316%15 Jun →
inferno16–140.0120%15 Jun →
ancient13–110.027%14 Jun →
ancient8–13-0.0715%11 Jun →
overpass13–50.0316%11 Jun →
mirage13–6-0.0311%11 Jun →
mirage16–120.0416%10 Jun →
nuke13–100.0429%10 Jun →
ancient13–100.0116%10 Jun →
inferno13–90.0411%10 Jun →
ancient13–16-0.013%9 Jun →
mirage8–13-0.043%9 Jun →
inferno13–70.0210%9 Jun →
overpass13–100.0619%8 Jun →
inferno11–130.0723%8 Jun →
ancient13–7-0.0222%7 Jun →
dust25–130.0015%7 Jun →
ancient14–16-0.0013%6 Jun →
nuke13–9-0.0317%6 Jun →
inferno5–13-0.0613%6 Jun →
anubis7–13-0.0718%6 Jun →
mirage5–13-0.0412%6 Jun →
inferno9–20.1431%6 Jun →
nuke13–7-0.049%5 Jun →
nuke13–11-0.0215%5 Jun →
overpass13–50.1518%4 Jun →
ancient5–130.0310%4 Jun →
nuke13–90.0211%1 Jun →
mirage14–160.0011%29 May →
ancient9–13-0.0214%29 May →
mirage13–110.0320%29 May →
poseidon2–9-0.1615%29 May →

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 →

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