M4tsi

M4tsi — CS2 Stats

FI76561198049377705[U:1:89111977]Steam profile ↗✓ No bans

1,050Tracked matches31%Win rate2020Tracked since
4,261Hours in CS14Hrs last 2 wks
CSDB Rating2.5 LearningPositional Player
Premier CS Rating11,413Blue band · top ~47.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (5 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 4 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,413 -304 1 Sept18 Sept · 6 days played
11,41312,335peak 12,3351 Sept18 Sept
12,335Peak Premier in tracked matches
47Days played since 2026-03-04

Premier CS Rating

  • 922 below peak (12,335)
  • Next: Purple band at 15,000 3,587 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=20,829), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.6%41.9%44.3%11.7% short
Shot accuracy16.5%9.6%11.8%above
Kill/death ratio1.000.981.030.03 short
Match win rate48.4%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGM4tsiPREMIER11,413 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim36
Positioning40
Utility36

0–100 skill scores via Leetify.

Recent form

COLD32617Last 10032%Win rateWLLWLLLLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · −20ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 658ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

Last 20

  • 5132 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • 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: Positional PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim3.6
Utility3.6
Positioning4.0
Opening Duels0.6

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

NiKo

Plays most like NiKo 74% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.0
Utility3.6
Mechanics0.4
Opening Duels1.6
Win Impact0.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time581ms−57ms
first ⅓ avg 639ms → last ⅓ avg 581ms
Headshot accuracy17.2%+1.3%
first ⅓ avg 15.9% → last ⅓ avg 17.2%

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

0.18Best match rating · 9–0 · inferno, 6 Sept
36%Best headshot accuracy · 9–0 · inferno, 6 Sept
336msFastest reaction time · 2–13 · office, 19 Sept
13–2Biggest win · office, 7 May

Across the last 100 tracked matches.

Highlights

3Longest win streak
110In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 67% over 6dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
officeD46123426%-0.01
infernoD1551033%0.01
nukeC94544%-0.01
ancientB84450%-0.01
cacheS64267%-0.03
dust2D51420%-0.01
mirageC52340%-0.04
anubis3030%-0.04
vertigo1010%-0.03
italy1010%-0.03
overpass1010%-0.05

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.

Lifetime stats

131,316Lifetime kills
1.00K/D · Top 50% of Blue band
6,160Matches
48.4%Match win rate · Top 25% of Blue band
32.6%Headshot %
16.5%Shot accuracy · Top 25% of Blue band
14,257MVPs
2,729Hours (in match)
5,384Bombs planted
862Bombs defused

Most-used weapons

Lifetime map wins

8,585inferno
5,860nuke
4,873office
4,502dust2
2,846train
2,729vertigo
1,487italy
1,017cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.5%Spray accuracy
51.7%Counter-strafing
10.4°Preaim
577msReaction time
36.6%T opening success
36.0%CT opening success
0.31Enemies flashed / flash
5.3%Flash assists
13.41HE damage / grenade
1.21Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3104 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.633% — below the 40% mark we flag

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 & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–40.0310%22 Sept
office8–13-0.0214%22 Sept
office4–130.0113%21 Sept
office13–10-0.0910%21 Sept
vertigo1–13-0.0321%19 Sept
office3–13-0.0220%19 Sept
office2–13-0.0324%19 Sept
nuke4–13-0.058%18 Sept
inferno5–130.0215%18 Sept
office13–10-0.0325%18 Sept
inferno9–6-0.0416%15 Sept
inferno8–80.0522%14 Sept
inferno13–40.0126%13 Sept
dust29–13-0.0214%13 Sept
nuke14–16-0.0416%13 Sept
office3–13-0.018%12 Sept
office7–13-0.0615%12 Sept
office12–120.0612%12 Sept
mirage9–13-0.0615%11 Sept
office8–13-0.0513%10 Sept
office6–13-0.0021%10 Sept
office9–13-0.0421%9 Sept
office4–13-0.0313%8 Sept
office6–13-0.0215%8 Sept
office3–13-0.0911%8 Sept
office13–11-0.0214%6 Sept
inferno9–00.1836%6 Sept
office11–130.0918%5 Sept
nuke13–70.1222%3 Sept
ancient13–90.0818%3 Sept
office13–5-0.0324%3 Sept
anubis7–13-0.0315%2 Sept
cache13–9-0.0024%1 Sept
inferno9–30.0321%28 Aug
ancient5–13-0.0314%14 Aug
dust211–130.0127%14 Aug
cache13–9-0.0123%14 Aug
mirage13–5-0.0015%14 Aug
cache13–10-0.0114%14 Aug
nuke3–13-0.0614%9 Aug
inferno6–130.0111%9 Aug
dust213–7-0.0221%8 Aug
nuke9–13-0.0316%8 Aug
inferno7–130.0213%8 Aug
inferno5–9-0.1111%8 Aug
mirage13–9-0.0219%2 Aug
mirage4–13-0.0722%2 Aug
inferno13–9-0.0017%30 Jul
inferno10–13-0.0221%30 Jul
nuke3–13-0.0424%24 Jul
nuke13–8-0.0511%24 Jul
ancient13–9-0.0126%19 Jul
cache5–13-0.0614%19 Jul
nuke13–60.0617%19 Jul
ancient13–6-0.0513%14 Jun
ancient13–6-0.0118%14 Jun
inferno9–130.0317%6 Jun
office11–13-0.0329%29 May
office12–12-0.0021%16 May
cache10–13-0.0311%13 May
office13–20.1814%7 May
office5–130.0215%7 May
office6–13-0.0214%4 May
mirage6–13-0.0624%1 May
ancient9–13-0.0417%1 May
cache13–5-0.0516%1 May
ancient13–16-0.0523%25 Apr
office6–130.0215%25 Apr
office12–12-0.039%19 Apr
office13–9-0.0521%19 Apr
office11–13-0.0018%18 Apr
office13–5-0.0113%18 Apr
office6–13-0.029%16 Apr
office8–30.002%16 Apr
office13–80.0111%16 Apr
office13–60.049%15 Apr
office10–13-0.0124%15 Apr
anubis10–13-0.058%14 Apr
office8–13-0.0715%14 Apr
office2–13-0.0220%14 Apr
office13–60.0218%13 Apr
office10–130.0323%13 Apr
office9–13-0.0124%13 Apr
office6–13-0.0513%13 Apr
office12–12-0.0211%12 Apr
office11–13-0.0313%11 Apr
office7–13-0.0114%11 Apr
dust211–13-0.0318%11 Apr
inferno11–130.0222%1 Apr
inferno9–13-0.039%1 Apr
dust210–13-0.0218%1 Apr
inferno7–90.0429%23 Mar
ancient15–15-0.0023%13 Mar
office2–13-0.065%13 Mar
italy2–13-0.0316%13 Mar
office11–13-0.078%13 Mar
anubis9–13-0.0416%11 Mar
nuke6–10.0230%11 Mar
office7–13-0.0722%11 Mar
overpass8–8-0.0521%4 Mar

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 →