MaTzSaTT

MaTzSaTT — CS2 Stats

76561197968408602[U:1:8142874]Steam profile ↗✓ No bans

522Tracked matches33%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
WingmanSilver I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,784 +845 6 Dec – 10 Apr · 15 days played
3,6164,999peak 4,9996 Dec10 Apr
4,999Peak Premier in tracked matches
39Days played since 2025-10-02

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

Performance scores

Aim46
Positioning40
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY37–62–1Last 10037%Win rateWLWLLWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −5.3pp headshot accuracy · −12ms reaction

Win rate up 20pp 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 -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 677ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 639ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 645ms

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 (+2.9 against its own average).

Aim4.6
Utility6.3
Positioning4.0
Opening Duels0.0

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

b1t

Plays most like b1t 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 42% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 657ms 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

Aim4.6
Positioning4.0
Utility6.3
Mechanics5.6
Opening Duels1.5
Win Impact0.0

Composite 4.1/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time656ms−16ms
first ⅓ avg 672ms → last ⅓ avg 656ms
Headshot accuracy11.4%+0.5%
first ⅓ avg 10.9% → last ⅓ avg 11.4%

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

0.12Best match rating · 13–6 · inferno, 19 Mar →
30%Best headshot accuracy · 0–13 · dust2, 3 Oct →
453msFastest reaction time · 13–10 · anubis, 17 Oct →
13–3Biggest win · inferno, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 60% over 5ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D3512–2334%-0.01
infernoC229–1341%0.01
mirageD134–931%-0.03
anubisC114–736%-0.04
ancientD72–529%-0.01
overpassC73–443%0.00
nukeA53–260%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
0.88Avg K/D
—ADR
28%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLW

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.

11.0%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.6%Spray accuracy
75.3%Counter-strafing
9.7°Preaim
657msReaction time
41.8%T opening success
21.6%CT opening success
0.79Enemies flashed / flash
3.6%Flash assists
11.91HE damage / grenade
6.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.9685% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 21.566% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0516%31 Oct →
anubis8–130.0012%31 Oct →
inferno13–30.1114%31 Oct →
mirage12–16-0.025%30 Oct →
anubis6–13-0.115%30 Oct →
dust213–50.0012%30 Oct →
dust25–13-0.065%30 Oct →
ancient10–13-0.047%23 Oct →
inferno6–13-0.036%23 Oct →
inferno13–11-0.0210%23 Oct →
mirage14–160.0117%23 Oct →
dust213–16-0.057%19 Oct →
inferno13–70.087%19 Oct →
dust23–13-0.106%17 Oct →
dust24–13-0.1011%17 Oct →
anubis6–13-0.0215%17 Oct →
anubis13–10-0.0518%17 Oct →
dust24–13-0.0814%3 Oct →
dust27–130.0120%3 Oct →
dust20–13-0.1330%3 Oct →
mirage7–13-0.077%25 Sept →
anubis13–40.006%25 Sept →
anubis1–13-0.1110%10 Apr →
dust25–13-0.0215%10 Apr →
dust213–110.0417%10 Apr →
dust26–130.009%20 Mar →
overpass13–8-0.037%19 Mar →
mirage3–13-0.0914%19 Mar →
nuke13–70.046%19 Mar →
dust214–16-0.057%19 Mar →
anubis5–13-0.0326%19 Mar →
anubis13–11-0.024%19 Mar →
inferno13–60.1211%19 Mar →
inferno8–13-0.019%19 Mar →
anubis6–13-0.0519%18 Mar →
mirage7–13-0.0517%18 Mar →
dust215–150.038%18 Mar →
inferno10–13-0.079%17 Mar →
mirage13–5-0.0020%17 Mar →
ancient13–50.0511%17 Mar →
anubis3–13-0.0021%6 Mar →
ancient8–13-0.0210%6 Mar →
inferno13–9-0.023%6 Mar →
dust213–70.0511%6 Mar →
dust211–130.0013%21 Feb →
anubis16–13-0.029%21 Feb →
dust213–40.0910%15 Feb →
nuke3–13-0.036%15 Feb →
nuke10–13-0.0211%14 Feb →
inferno11–130.0213%6 Feb →
dust213–4-0.016%6 Feb →
inferno9–130.0415%30 Jan →
dust213–90.0712%30 Jan →
dust212–16-0.048%10 Jan →
dust213–11-0.034%10 Jan →
inferno13–8-0.0312%9 Jan →
dust26–13-0.038%9 Jan →
overpass6–130.0115%9 Jan →
mirage13–110.0117%3 Jan →
inferno3–130.0012%30 Dec →
inferno8–13-0.0111%30 Dec →
overpass10–13-0.022%30 Dec →
dust213–110.059%27 Dec →
inferno7–13-0.004%26 Dec →
dust213–30.0311%26 Dec →
inferno13–9-0.0211%25 Dec →
mirage13–80.009%25 Dec →
dust213–90.0519%20 Dec →
mirage9–13-0.0710%19 Dec →
dust211–130.019%19 Dec →
inferno13–60.0812%13 Dec →
inferno14–160.0612%12 Dec →
inferno14–160.027%12 Dec →
dust28–13-0.0614%12 Dec →
mirage13–40.046%6 Dec →
dust213–30.0210%6 Dec →
dust213–60.0120%5 Dec →
inferno9–130.0313%5 Dec →
dust24–13-0.0219%5 Dec →
dust27–13-0.0111%5 Dec →
overpass5–13-0.069%29 Nov →
ancient4–13-0.0319%29 Nov →
dust27–13-0.0514%29 Nov →
dust24–13-0.066%28 Nov →
nuke13–70.019%28 Nov →
mirage3–13-0.097%28 Nov →
ancient13–70.019%28 Nov →
ancient10–13-0.018%21 Nov →
inferno3–13-0.0712%7 Nov →
mirage1–13-0.0912%7 Nov →
dust20–80.000%7 Nov →
overpass2–13-0.076%6 Nov →
dust25–13-0.109%6 Nov →
inferno8–13-0.016%6 Nov →
overpass9–30.1210%5 Nov →
inferno9–60.0214%5 Nov →
ancient6–13-0.037%4 Oct →
overpass13–50.0817%4 Oct →
mirage4–130.0113%2 Oct →
dust25–130.0415%2 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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