Matze1104

Matze1104 — CS2 Stats

DE76561198225923704[U:1:265657976]Steam profile ↗✓ No bans

1,884Tracked matches46%Win rate2021Tracked since
2,179Hours in CS3Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating15,438Purple band · top ~26.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 15,438 +326 31 Jul – 27 Oct · 33 days played
14,89418,815peak 18,81531 Jul27 Oct
18,815Peak Premier in tracked matches
32Days played since 2026-07-31

Premier CS Rating

  • 3,377 below peak (18,815)
  • -1,384 over 30 days · declining
  • +326 over 90 days
  • Next: Pink band at 20,000 — 4,562 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.4%44.4%46.9%4.6% short
Shot accuracy2.9%11.9%13.0%10.1% short
Kill/death ratio0.981.031.080.10 short
Match win rate43.0%45.2%46.7%3.7% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMatze1104PREMIER15,438 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning36
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLWLLWTWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.8pp headshot accuracy · +25ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 604ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

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 (+2.7 against its own average).

Aim6.2
Utility5.6
Positioning3.6
Opening Duels0.0
Clutch2.6

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 77% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

CT openings. Opening success drops from 44% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.2
Positioning3.6
Utility5.6
Mechanics5.7
Opening Duels1.8
Win Impact3.8

Composite 4.8/10 (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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time585ms−34ms
first ⅓ avg 618ms → last ⅓ avg 585ms
Headshot accuracy21.1%+3.4%
first ⅓ avg 17.7% → last ⅓ avg 21.1%

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

0.12Best match rating · 13–1 · inferno, 1 Aug →
50%Best headshot accuracy · 3–13 · dust2, 13 Sept →
352msFastest reaction time · 3–13 · dust2, 13 Sept →
13–1Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 63% over 16mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%-0.02
ancientA1610–663%-0.00
infernoC125–742%-0.01
mirageC114–736%-0.02
nukeA95–456%0.01
cacheB84–450%-0.01
anubisC73–443%-0.02
vertigo—21–150%-0.01
shelter—21–150%-0.06
rush_001—11–0100%0.12
train—11–0100%0.04
fachwerk—11–0100%0.01
boulder—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,738Lifetime kills
0.98K/D
3,812Matches
43.0%Match win rate
42.4%Headshot %
2.9%Shot accuracy
6,605MVPs
1,117Hours (in match)
2,469Bombs planted
587Bombs defused

Most-used weapons

Lifetime map wins

5,084dust2
4,329nuke
3,819inferno
2,002vertigo
892train
617assault
311office
263italy

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

Faceit stats

Combat

62Matches
48%Win rate
1.09Avg K/D
74.9ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22045%0.8913.0
Mirage944%0.8814.2
Nuke862%0.9112.8
Inferno757%2.2311.0
Anubis633%1.0414.8
Ancient540%1.159.8
Vertigo367%1.1716.7
Cache250%0.7113.5

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.

19.6%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.2%Spray accuracy
75.5%Counter-strafing
9.0°Preaim
581msReaction time
44.0%T opening success
28.3%CT opening success
0.58Enemies flashed / flash
4.3%Flash assists
10.89HE damage / grenade
12.17Flashes / 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

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

    CT opening duels 28.317% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0220%27 Oct →
inferno5–13-0.0533%22 Oct →
dust213–4-0.0214%22 Oct →
anubis5–13-0.0618%16 Oct →
mirage10–130.0022%13 Oct →
nuke13–30.0926%13 Oct →
anubis15–15-0.0319%13 Oct →
dust213–3-0.0416%13 Oct →
dust27–13-0.0514%13 Oct →
nuke13–10-0.0619%13 Oct →
vertigo13–100.0516%8 Oct →
inferno6–13-0.0027%8 Oct →
inferno13–16-0.0716%4 Oct →
dust213–8-0.0426%4 Oct →
ancient5–13-0.0422%3 Oct →
dust211–13-0.0420%3 Oct →
ancient5–13-0.0716%3 Oct →
dust22–13-0.0516%3 Oct →
dust213–11-0.0229%3 Oct →
inferno13–60.0421%3 Oct →
rush_0016–20.1233%3 Oct →
inferno13–3-0.0711%30 Sept →
ancient15–15-0.0514%30 Sept →
ancient10–13-0.0111%27 Sept →
dust210–13-0.0217%27 Sept →
mirage16–13-0.0718%23 Sept →
dust213–5-0.0239%23 Sept →
ancient5–13-0.0222%19 Sept →
dust24–13-0.099%16 Sept →
dust213–8-0.0023%13 Sept →
dust213–2-0.0422%13 Sept →
dust23–13-0.1250%13 Sept →
mirage11–13-0.0520%13 Sept →
inferno7–9-0.0526%10 Sept →
inferno8–80.0130%10 Sept →
nuke8–80.0311%10 Sept →
nuke3–9-0.0016%10 Sept →
ancient13–100.0319%10 Sept →
dust25–13-0.0715%4 Sept →
ancient13–90.0313%4 Sept →
dust213–10-0.0122%3 Sept →
cache11–13-0.0323%26 Aug →
ancient13–10-0.0414%26 Aug →
cache13–8-0.0126%23 Aug →
cache13–6-0.0217%23 Aug →
ancient16–140.0115%23 Aug →
cache4–130.0022%23 Aug →
inferno4–13-0.0432%23 Aug →
shelter4–13-0.078%22 Aug →
mirage8–130.0115%22 Aug →
anubis13–8-0.0113%22 Aug →
nuke8–13-0.0123%22 Aug →
ancient1–130.0136%22 Aug →
cache13–70.0220%22 Aug →
nuke15–150.0729%19 Aug →
cache13–10-0.0423%18 Aug →
mirage7–13-0.0532%18 Aug →
cache8–13-0.0126%18 Aug →
dust213–60.0112%17 Aug →
nuke13–6-0.0526%17 Aug →
inferno13–9-0.0326%17 Aug →
nuke13–90.0320%13 Aug →
ancient13–70.0418%13 Aug →
ancient13–60.0422%13 Aug →
dust26–130.0123%13 Aug →
dust213–110.0420%10 Aug →
dust210–130.0124%9 Aug →
anubis13–10-0.0116%9 Aug →
dust213–8-0.0516%7 Aug →
inferno9–130.0313%6 Aug →
train13–60.0422%6 Aug →
vertigo6–13-0.078%6 Aug →
shelter13–11-0.0513%5 Aug →
fachwerk10–30.0122%5 Aug →
boulder13–10-0.0615%5 Aug →
mirage13–70.0314%5 Aug →
dust211–130.0120%5 Aug →
dust213–50.0221%5 Aug →
dust213–60.0526%5 Aug →
dust211–130.0413%5 Aug →
dust213–50.0322%5 Aug →
dust25–13-0.0824%5 Aug →
ancient13–30.0523%4 Aug →
inferno13–100.0113%4 Aug →
mirage13–60.0110%4 Aug →
mirage8–13-0.0221%4 Aug →
dust213–10-0.0415%4 Aug →
dust213–60.0729%4 Aug →
anubis13–100.0219%3 Aug →
dust212–160.0416%3 Aug →
mirage13–90.0025%3 Aug →
ancient13–20.0310%3 Aug →
ancient13–40.0012%3 Aug →
mirage6–13-0.0221%1 Aug →
anubis7–13-0.0524%1 Aug →
ancient13–5-0.0619%1 Aug →
anubis9–13-0.0115%1 Aug →
mirage6–13-0.0419%1 Aug →
inferno13–10.1219%1 Aug →
nuke13–60.0012%31 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 →

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