matte

matte — CS2 Stats

76561198335150762[U:1:374885034]Steam profile ↗✓ No bans

2,633Tracked matches55%Win rate2020Tracked since
CSDB Rating7.1 StrongOpening Duellist
Premier CS Rating22,799Top 25% of 204,316 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#44031 of 251429 tracked
FaceitLevel 8 · 2,022 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,799 → 22,799
0Faceit ELO · 2,022 → 2,022
+56Tracked matches · now 2,633
+3.4ppWin rate · 51.7% → 55.2%

Rating over time

Premier CS Rating: 22,799 +4,161 19 May – 14 Sept · 17 days played
16,43722,799peak 22,79919 May14 Sept
Faceit ELO: 2,022 +0 4 Sept – 14 Sept · 6 observations
2,0222,022peak 2,0224 Sept14 Sept
22,799Peak Premier in tracked matches
2,022Highest Faceit ELO seen on CSDB
69Days played since 2024-05-19

Faceit ELO

  • At peak — 2,022
  • Next: 2,500 ELO at 2,500 — 478 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

Premier CS Rating

  • At peak — 22,799
  • Next: Red band at 25,000 — 2,201 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmatteFACEITLevel 8 · 2,022 ELOSTANDINGTop 31.2% of rankedPREMIER22,799 · Pink bandPEAK ELO2,022csdb.gg/stats

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Performance scores

Aim80
Positioning67
Utility51

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWWLLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −7.4pp headshot accuracy · −105ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 565ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 618ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.5 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.0
Utility5.1
Positioning6.7
Opening Duels7.2
Clutch3.6

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

m0NESY

Plays most like m0NESY 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim8.0
Positioning6.7
Utility5.1
Mechanics7.2
Opening Duels6.7
Win Impact6.7

Composite 7.1/10 (Strong), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time609ms−59ms
first ⅓ avg 667ms → last ⅓ avg 609ms
Headshot accuracy26.1%−1.6%
first ⅓ avg 27.7% → last ⅓ avg 26.1%

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

0.16Best match rating · 13–2 · nuke, 21 May →
67%Best headshot accuracy · 0–13 · ancient, 21 May →
375msFastest reaction time · 11–13 · inferno, 22 Jul →
13–2Biggest win · mirage, 17 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 73% over 11ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%0.01
infernoB2110–1148%-0.00
ancientD143–1121%-0.01
nukeB137–654%0.01
dust2S118–373%-0.01
overpass—41–325%0.03
train—30–30%-0.00
anubis—31–233%0.03
vertigo—30–30%-0.01
cache—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,592Matches
51%Win rate
1.08Avg K/D
75.8ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage33053%1.1215.8
Inferno17062%1.0615.4
Dust213452%1.0715.6
Nuke12452%1.0815.8
Ancient11746%0.9814.7
Vertigo4743%0.8513.9
Anubis4129%0.8614.7
Overpass3938%0.9715.1

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.

25.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.2%Spray accuracy
82.4%Counter-strafing
9.1°Preaim
607msReaction time
48.6%T opening success
64.9%CT opening success
0.56Enemies flashed / flash
11.3%Flash assists
8.92HE damage / grenade
4.22Flashes / match

Recommended for you

Spend your practice time on Ancient

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.0219%12 Oct →
dust213–7-0.0416%12 Oct →
cache3–13-0.0516%9 Oct →
mirage9–13-0.0116%9 Oct →
train7–13-0.0227%7 Oct →
inferno14–160.0220%5 Oct →
anubis14–16-0.0221%5 Oct →
inferno13–110.0429%4 Oct →
ancient11–13-0.0130%4 Oct →
mirage6–13-0.0822%13 Sept →
dust213–6-0.0540%17 May →
mirage10–13-0.0425%17 May →
mirage13–20.0922%17 May →
dust25–130.0433%16 May →
inferno9–13-0.0418%16 May →
mirage13–70.0527%16 May →
inferno4–13-0.0341%15 May →
nuke13–100.0527%15 May →
anubis13–40.0826%14 May →
ancient13–50.0630%14 May →
mirage13–80.0321%14 May →
dust216–13-0.0324%14 May →
mirage15–150.0333%13 May →
mirage13–80.0638%12 May →
mirage13–10-0.0219%12 May →
inferno13–60.0336%12 May →
inferno6–13-0.0134%12 May →
overpass13–60.1223%11 May →
dust213–80.0323%11 May →
overpass6–13-0.0132%10 May →
mirage11–13-0.0227%1 Nov →
dust216–130.0118%23 Oct →
nuke6–13-0.0430%6 Sept →
overpass6–13-0.0313%6 Sept →
overpass8–130.0421%2 Sept →
inferno9–13-0.0219%31 Aug →
mirage13–4-0.0113%28 Aug →
mirage12–160.0417%26 Aug →
inferno7–13-0.0220%12 Aug →
inferno12–16-0.0129%7 Aug →
mirage13–60.0522%5 Aug →
ancient17–19-0.0626%17 Jul →
mirage14–160.0227%14 Jul →
inferno13–30.0522%12 Jul →
nuke13–40.0116%12 Jul →
inferno13–6-0.0635%11 Jul →
inferno13–40.0721%11 Jul →
ancient7–13-0.0810%7 Jul →
mirage7–13-0.1014%5 Jul →
dust216–140.0120%28 Jun →
nuke13–8-0.0618%23 Jun →
nuke6–13-0.0619%10 Jun →
ancient8–13-0.0127%7 Jun →
nuke13–80.0320%4 Jun →
anubis10–130.0224%13 Apr →
dust213–70.0225%10 Apr →
dust212–16-0.0612%6 Apr →
ancient6–13-0.0611%5 Apr →
ancient8–13-0.0539%1 Apr →
ancient9–13-0.0525%25 Mar →
inferno13–7-0.0320%23 Mar →
mirage10–130.0127%23 Mar →
nuke7–9-0.0521%10 Mar →
mirage13–30.0327%20 Feb →
mirage13–8-0.0230%3 Feb →
nuke13–110.0419%28 Jan →
train5–130.0641%2 Jan →
inferno13–100.0527%20 Dec →
ancient7–13-0.0121%19 Dec →
mirage8–130.048%18 Dec →
ancient5–60.0850%17 Dec →
train2–13-0.0550%18 Nov →
inferno4–13-0.0223%4 Nov →
inferno4–13-0.0725%25 Oct →
dust28–13-0.039%12 Oct →
mirage13–160.0230%23 Sept →
mirage9–130.0235%27 Aug →
vertigo8–13-0.0128%22 Aug →
inferno13–110.0736%22 Aug →
vertigo14–16-0.0124%20 Aug →
mirage16–14-0.0421%20 Aug →
inferno3–130.0311%24 Jul →
ancient1–13-0.0823%23 Jul →
ancient13–20.0718%23 Jul →
inferno11–13-0.0616%22 Jul →
mirage13–90.0127%1 Jul →
dust213–110.0024%24 Jun →
inferno13–8-0.0135%1 Jun →
nuke12–120.0115%22 May →
inferno13–7-0.0528%21 May →
nuke13–70.0529%21 May →
ancient0–13-0.0867%21 May →
mirage9–130.0628%21 May →
nuke11–130.0420%21 May →
nuke13–20.1633%21 May →
vertigo9–130.0025%20 May →
mirage13–100.0142%20 May →
nuke15–150.0319%19 May →
ancient13–90.1230%19 May →
mirage14–160.0034%19 May →

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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