Mat™

Mat™ — CS2 Stats

US76561198350498094[U:1:390232366]Steam profile ↗✓ No bans

2,092Tracked matches70%Win rate2020Tracked since
2,065Hours in CS
CSDB Rating6.1 SolidSupport
Premier CS Rating24,566Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27458 of 260031 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 24,566 → 24,566
+26Tracked matches · now 2,092
+16.8ppWin rate · 53.6% → 70.4%

Rating over time

Premier CS Rating: 24,566 +0 16 Sept – 18 Sept · 2 days played
24,56624,566peak 24,56616 Sept18 Sept
24,566Peak Premier in tracked matches
1,546Highest Faceit ELO seen on CSDB
39Days played since 2025-09-13

Premier CS Rating

  • At peak — 24,566
  • Next: Red band at 25,000 — 434 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate53.2%46.8%48.2%above
Shot accuracy13.4%13.0%13.2%meets
Kill/death ratio1.581.061.07above
Match win rate75.4%46.3%46.9%above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMat™FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,566 · Pink bandPEAK ELO1,546csdb.gg/stats

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Performance scores

Aim75
Positioning43
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY60–31–9Last 10060%Win rateWTWWTWWWTL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −5.1pp headshot accuracy · −142ms 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

  • 3–0–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 525ms

Last 10

  • 6–1–3 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 507ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 578ms

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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim7.5
Utility6.6
Positioning4.3
Opening Duels0.0
Clutch2.6

Effective flashes

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 564ms 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

Aim7.5
Positioning4.3
Utility6.6
Mechanics5.7
Opening Duels0.0
Win Impact10.0

Composite 6.1/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time568ms−20ms
first ⅓ avg 589ms → last ⅓ avg 568ms
Headshot accuracy26.6%+2.0%
first ⅓ avg 24.6% → last ⅓ avg 26.6%

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

0.20Best match rating · 2–0 · mirage, 29 Aug →
56%Best headshot accuracy · 13–0 · mirage, 2 Oct →
398msFastest reaction time · 13–7 · anubis, 20 Sept →
13–0Biggest win · mirage, 2 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 89% over 9anubisWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB4221–2150%0.04
anubisB115–645%0.01
cacheS108–280%0.01
infernoS98–189%0.01
dust2S96–367%-0.00
ancientB84–450%0.02
trainS64–267%0.00
vertigo—32–167%0.02
overpass—11–0100%0.02
nuke—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,634Lifetime kills
1.58K/D · Top 5% of Level 8 players
4,136Matches
75.4%Match win rate · Top 1% of Level 8 players
53.2%Headshot % · Top 25% of Level 8 players
13.4%Shot accuracy · Top 50% of Level 8 players
10,625MVPs
2,065Hours (in match)
4,785Bombs planted
2,736Bombs defused

Most-used weapons

AK-4742,069
AWP11,874
MP94,161
P2504,011
MAC-102,425

Lifetime map wins

16,484inferno
7,455dust2
2,471train
1,338vertigo
1,258nuke
592cbble
16bank
15office

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

Faceit stats

Combat

797Matches
52%Win rate
1.20Avg K/D
67.8ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1662%1.0617.3
Anubis967%0.9113.1
Ancient825%0.9016.5
Dust2825%0.6310.8
Inferno580%1.0017.6
Train3100%2.2315.3
Nuke367%0.6811.3
Vertigo2100%1.0714.5

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.

26.8%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.8%Spray accuracy
75.5%Counter-strafing
8.0°Preaim
564msReaction time
24.2%T opening success
22.4%CT opening success
0.72Enemies flashed / flash
8.7%Flash assists
9.59HE damage / grenade
14.16Flashes / 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. 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 24.2159% — below the 40% mark we flag

Spend your practice time on Anubis

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.1526%17 Oct →
mirage12–120.1225%15 Oct →
mirage6–10.0213%15 Oct →
train13–40.0325%14 Oct →
mirage12–12-0.0227%10 Oct →
vertigo13–10.0545%10 Oct →
inferno13–2-0.0118%10 Oct →
train13–70.1122%9 Oct →
mirage12–120.0123%9 Oct →
mirage10–130.1233%7 Oct →
mirage11–13-0.0224%7 Oct →
train13–3-0.0230%7 Oct →
train4–13-0.0215%7 Oct →
cache13–30.0327%2 Oct →
mirage13–00.0956%2 Oct →
mirage13–40.0731%1 Oct →
mirage11–130.0034%29 Sept →
vertigo9–130.0027%23 Sept →
cache13–2-0.0540%21 Sept →
inferno13–90.0323%20 Sept →
dust213–10-0.0025%20 Sept →
anubis13–70.0523%20 Sept →
mirage13–80.0431%20 Sept →
cache13–40.0123%19 Sept →
mirage11–13-0.0316%18 Sept →
ancient13–7-0.0018%18 Sept →
dust28–13-0.0625%16 Sept →
mirage13–100.0835%16 Sept →
anubis13–50.1025%16 Sept →
anubis6–13-0.0026%16 Sept →
anubis9–13-0.0229%15 Sept →
mirage10–13-0.0324%15 Sept →
mirage7–130.0016%14 Sept →
ancient13–60.0418%13 Sept →
dust29–13-0.0336%13 Sept →
overpass13–50.0227%12 Sept →
ancient6–13-0.0423%12 Sept →
train12–12-0.0016%12 Sept →
dust213–10-0.0732%12 Sept →
mirage13–100.0321%12 Sept →
nuke13–6-0.0225%12 Sept →
anubis0–13-0.0621%12 Sept →
cache13–80.0135%12 Sept →
inferno7–130.0238%12 Sept →
dust213–110.0027%12 Sept →
mirage2–13-0.0921%11 Sept →
ancient7–130.0527%11 Sept →
ancient8–13-0.0339%11 Sept →
mirage13–80.1026%11 Sept →
dust213–70.0521%10 Sept →
dust215–15-0.0127%10 Sept →
mirage10–130.0330%9 Sept →
anubis13–11-0.0142%9 Sept →
mirage13–60.1424%9 Sept →
train13–0-0.0720%8 Sept →
anubis13–11-0.0238%8 Sept →
inferno13–11-0.0610%8 Sept →
cache13–4-0.0530%8 Sept →
vertigo13–8-0.0013%7 Sept →
anubis12–12-0.0220%7 Sept →
mirage13–50.0619%7 Sept →
mirage13–80.0120%7 Sept →
mirage13–60.1037%7 Sept →
dust213–50.1135%6 Sept →
mirage15–150.0742%6 Sept →
mirage13–10-0.0126%5 Sept →
mirage3–13-0.0339%5 Sept →
mirage13–100.0725%5 Sept →
mirage12–120.0822%4 Sept →
mirage13–40.0335%3 Sept →
cache10–130.0528%3 Sept →
mirage13–90.0321%30 Aug →
mirage9–0-0.0710%30 Aug →
cache13–70.0116%29 Aug →
cache13–110.0321%29 Aug →
mirage2–00.2033%29 Aug →
mirage9–130.0123%29 Aug →
ancient13–30.1323%28 Aug →
mirage10–130.0625%25 Aug →
inferno13–6-0.0430%23 Aug →
mirage13–50.0728%23 Aug →
mirage11–13-0.0524%23 Aug →
cache13–110.0626%23 Aug →
inferno13–6-0.0125%11 Aug →
dust213–11-0.0319%10 Aug →
anubis5–13-0.0615%28 Jul →
mirage5–13-0.0213%27 Jul →
inferno13–60.1338%17 Jul →
mirage13–90.1031%17 Jul →
anubis10–130.0425%17 Jul →
ancient15–150.0424%17 Jul →
mirage4–13-0.0517%17 Jul →
mirage2–13-0.0147%17 Jul →
mirage9–13-0.0622%17 Jul →
inferno13–9-0.0117%17 Jul →
mirage13–50.1221%17 Jul →
cache11–13-0.0138%17 Jul →
inferno13–10.0525%12 Jul →
anubis13–30.0822%12 Jul →
ancient13–100.0219%12 Jul →

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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