Matteo Mozambique Kashmiri

Matteo Mozambique Kashmiri — CS2 Stats

DK76561199237360553[U:1:1277094825]Steam profile ↗✓ No bans

1,056Tracked matches48%Win rate2023Tracked since
657Hours in CS
CSDB Rating6.6 SolidAll-Rounder
Premier CS Rating24,018Top 25% of 204,219 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#30939 of 251356 tracked
FaceitLevel 5 · 1,134 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Jun 2026 (119 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: 24,018 -982 21 Apr – 15 Jun · 9 days played
23,61325,000peak 25,00021 Apr15 Jun
25,113Peak Premier in tracked matches
1,134Highest Faceit ELO seen on CSDB
32Days played since 2026-04-21

Faceit ELO

  • At peak — 1,134
  • Next: Level 6 at 1,201 — 67 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 982 below peak (25,000)
  • +124 over 30 days · steady
  • Next: Red band at 25,000 — 982 to go
  • Reached: Red band · Pink band · Purple band · 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 Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate48.7%43.7%44.8%above
Shot accuracy7.4%12.0%12.4%5.1% short
Kill/death ratio0.791.021.030.25 short
Match win rate40.1%44.7%45.2%5.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMatteo Mozambique KashmiriFACEITLevel 5 · 1,134 ELOSTANDINGTop 67.6% of rankedPREMIER24,018 · Pink bandPEAK ELO1,134csdb.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

Aim86
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateTLLLLLWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +5.4pp headshot accuracy · −6ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 578ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 660ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 663ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility5.8
Positioning4.7
Opening Duels4.7
Clutch6.0

Sharp aimerExcellent counter-strafing

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

device

Plays most like device 92% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms 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

Aim8.6
Positioning4.7
Utility5.8
Mechanics9.0
Opening Duels3.3
Win Impact4.4

Composite 6.6/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time670ms+16ms
first ⅓ avg 654ms → last ⅓ avg 670ms
Headshot accuracy21.9%+2.5%
first ⅓ avg 19.4% → last ⅓ avg 21.9%

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

0.13Best match rating · 13–8 · cache, 10 May →
54%Best headshot accuracy · 4–13 · mirage, 30 Apr →
469msFastest reaction time · 10–13 · train, 17 Jun →
13–0Biggest win · mirage, 26 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 67% over 6trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB5025–2550%0.00
cacheC198–1142%0.04
dust2C73–443%-0.02
nukeS64–267%0.00
trainC52–340%0.03
ancient—44–0100%-0.00
office—41–325%-0.02
vertigo—32–167%0.01
anubis—21–150%-0.01

Across the last 100 tracked matches.

Lifetime stats

27,328Lifetime kills
0.79K/D
1,405Matches
40.1%Match win rate
48.7%Headshot % · Top 50% of Level 5 players
7.4%Shot accuracy
3,409MVPs
657Hours (in match)
881Bombs planted
280Bombs defused

Most-used weapons

Lifetime map wins

1,071inferno
960vertigo
942dust2
874nuke
346office
149train
1ar_shoots

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

Faceit stats

Combat

298Matches
48%Win rate
1.07Avg K/D
93.2ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2540%1.2920.1
Nuke1030%1.0817.2
Dust2850%1.2219.3
Ancient757%1.5519.4
Inferno450%1.1018.8
Anubis333%1.0015.3

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.

21.6%Headshot accuracy
41.8%Accuracy (enemy spotted)
40.3%Spray accuracy
90.4%Counter-strafing
9.1°Preaim
663msReaction time
34.2%T opening success
52.5%CT opening success
0.67Enemies flashed / flash
5.0%Flash assists
9.59HE damage / grenade
10.48Flashes / 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 34.1889% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache12–120.0118%5 Jul →
train8–130.0538%17 Jun →
train10–13-0.0219%17 Jun →
cache9–130.0622%16 Jun →
mirage5–130.0616%16 Jun →
mirage9–130.0345%16 Jun →
vertigo9–60.0124%16 Jun →
mirage2–13-0.0336%16 Jun →
mirage1–13-0.0344%16 Jun →
dust213–90.0713%15 Jun →
ancient6–0-0.0825%15 Jun →
mirage7–130.0318%15 Jun →
vertigo9–13-0.0229%9 Jun →
vertigo13–100.0524%9 Jun →
mirage8–130.0627%1 Jun →
mirage13–9-0.0928%1 Jun →
cache8–130.0518%31 May →
mirage7–130.0123%31 May →
mirage12–120.0119%28 May →
mirage13–70.1210%27 May →
mirage13–110.0332%27 May →
anubis13–60.0313%27 May →
mirage3–130.0111%26 May →
dust210–13-0.0815%22 May →
mirage13–7-0.0218%22 May →
mirage13–80.0525%21 May →
mirage13–2-0.0417%21 May →
mirage13–10.0910%20 May →
mirage13–50.037%20 May →
cache12–120.0319%20 May →
cache13–90.0312%20 May →
cache10–130.0219%19 May →
cache11–130.1030%17 May →
cache13–90.0614%16 May →
nuke13–8-0.0322%16 May →
mirage5–13-0.0614%16 May →
mirage12–120.0214%16 May →
mirage11–130.0121%16 May →
mirage13–6-0.0120%16 May →
mirage13–100.0633%15 May →
mirage5–13-0.0614%15 May →
mirage13–7-0.0418%14 May →
mirage13–6-0.078%14 May →
office13–9-0.0323%14 May →
office7–13-0.0318%14 May →
office5–130.0134%14 May →
nuke13–10.0050%14 May →
cache13–50.0317%11 May →
cache13–100.0328%11 May →
cache13–80.1329%10 May →
mirage13–90.0315%10 May →
mirage9–13-0.0127%10 May →
mirage8–13-0.0314%9 May →
cache12–120.0117%9 May →
cache13–40.0220%9 May →
mirage23–250.0611%5 May →
cache13–50.0324%4 May →
cache11–130.0417%30 Apr →
mirage13–8-0.0522%30 Apr →
mirage4–13-0.0654%30 Apr →
mirage13–2-0.0019%30 Apr →
mirage13–70.0122%30 Apr →
mirage4–130.0118%30 Apr →
mirage6–13-0.1138%30 Apr →
mirage2–13-0.0622%29 Apr →
cache8–130.0228%29 Apr →
cache9–130.0621%29 Apr →
cache13–50.0724%29 Apr →
cache8–13-0.0620%29 Apr →
ancient19–170.0813%28 Apr →
mirage13–10.0823%27 Apr →
mirage13–110.0817%27 Apr →
nuke2–130.0117%27 Apr →
nuke1–13-0.0332%27 Apr →
anubis3–13-0.0528%27 Apr →
mirage9–13-0.0340%26 Apr →
mirage13–60.0425%26 Apr →
mirage13–110.0419%26 Apr →
train13–20.0419%26 Apr →
mirage13–00.0410%26 Apr →
train13–110.0617%25 Apr →
train2–130.0424%25 Apr →
dust29–13-0.078%23 Apr →
ancient13–3-0.0414%23 Apr →
nuke13–10.0523%23 Apr →
dust216–13-0.0217%23 Apr →
mirage10–13-0.0423%23 Apr →
dust213–2-0.0215%23 Apr →
mirage10–13-0.0317%22 Apr →
dust28–13-0.0319%22 Apr →
mirage13–70.0123%22 Apr →
mirage7–13-0.0711%22 Apr →
ancient13–50.0315%22 Apr →
nuke13–90.0213%22 Apr →
mirage7–13-0.0231%22 Apr →
dust29–13-0.0119%21 Apr →
mirage13–80.110%21 Apr →
mirage6–10.0120%21 Apr →
office1–12-0.0419%21 Apr →
mirage13–30.0126%21 Apr →

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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