mateos

mateos — CS2 Stats

76561198046522077[U:1:86256349]Steam profile ↗✓ No bans

2,210Tracked matches60%Win rate2020Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating26,628Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#9133 of 261538 tracked
FaceitLevel 10 · 2,111 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 26,628 +4,344 26 Jul – 12 Nov · 21 days played
22,28426,628peak 26,62826 Jul12 Nov
Faceit ELO: 2,111 +0 9 Sept – 24 Sept · 2 observations
2,1112,111peak 2,1119 Sept24 Sept
26,628Peak Premier in tracked matches
2,111Highest Faceit ELO seen on CSDB
49Days played since 2026-07-26

Faceit ELO

  • At peak — 2,111
  • Next: 2,500 ELO at 2,500 — 389 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-09
  • Level 9 first seen 2026-09-09

Premier CS Rating

  • At peak — 26,628
  • +492 over 30 days · improving
  • +2,380 over 90 days
  • Next: Gold band at 30,000 — 3,372 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmateosFACEITLevel 10 · 2,111 ELOSTANDINGTop 12.4% of rankedPREMIER26,628 · Red bandPEAK ELO2,111csdb.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

Aim84
Positioning71
Utility53

0–100 skill scores via Leetify.

Recent form

HOT61–32–7Last 10061%Win rateWWWWWWWTWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +7.0pp headshot accuracy · +44ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 524ms

Last 10

  • 9–0–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 537ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 515ms

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 Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.4
Utility5.3
Positioning7.1
Opening Duels5.2
Clutch3.0

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, 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

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.4
Positioning7.1
Utility5.3
Mechanics5.4
Opening Duels7.5
Win Impact8.3

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time522ms−41ms
first ⅓ avg 563ms → last ⅓ avg 522ms
Headshot accuracy19.4%−4.3%
first ⅓ avg 23.7% → last ⅓ avg 19.4%

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

0.23Best match rating · 13–3 · dust2, 8 Oct →
45%Best headshot accuracy · 9–3 · nuke, 2 Nov →
375msFastest reaction time · 2–13 · fachwerk, 18 Sept →
13–0Biggest win · cache, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
18–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 78% over 9infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.03
infernoC146–843%0.01
nukeS128–467%0.02
anubisS107–370%0.04
mirageS97–278%0.02
cacheB63–350%0.01
shelter—42–250%0.08
ancient—44–0100%0.04
boulder—43–175%0.09
overpass—32–167%0.05
italy—22–0100%0.01
debris—21–150%0.08
office—20–20%0.05
fachwerk—20–20%0.10
eldorado—21–150%0.07
poseidon—10–10%-0.00
train—11–0100%0.03
vertigo—11–0100%0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

902Matches
53%Win rate
1.17Avg K/D
83.7ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage31453%1.1817.6
Dust214349%1.1316.9
Inferno12658%1.1216.4
Anubis10750%1.1517.9
Nuke7663%1.3019.0
Ancient4949%1.0516.4
Overpass2941%1.0417.1
Cache2330%1.1120.0

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.

18.2%Headshot accuracy
41.4%Accuracy (enemy spotted)
44.8%Spray accuracy
74.3%Counter-strafing
10.1°Preaim
519msReaction time
65.6%T opening success
54.6%CT opening success
0.47Enemies flashed / flash
7.3%Flash assists
6.11HE damage / grenade
13.08Flashes / 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 0.4698 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.0514%12 Nov →
mirage16–140.0430%12 Nov →
shelter13–100.0726%9 Nov →
italy13–100.0024%9 Nov →
nuke13–100.1222%8 Nov →
overpass9–70.0120%4 Nov →
debris9–40.1029%4 Nov →
poseidon8–8-0.0017%2 Nov →
nuke9–30.0645%2 Nov →
nuke16–14-0.0515%1 Nov →
anubis13–110.0628%1 Nov →
ancient13–100.0923%1 Nov →
dust26–130.0017%1 Nov →
nuke7–130.0113%1 Nov →
inferno13–90.0219%1 Nov →
ancient13–9-0.0110%31 Oct →
mirage11–130.0518%31 Oct →
anubis13–20.0916%31 Oct →
dust213–60.0812%31 Oct →
inferno8–13-0.0516%31 Oct →
anubis13–80.0816%30 Oct →
inferno11–130.0412%30 Oct →
dust20–13-0.0421%30 Oct →
anubis10–13-0.0323%29 Oct →
office6–130.0215%28 Oct →
office10–130.0825%28 Oct →
inferno11–130.0313%27 Oct →
dust213–110.0320%27 Oct →
mirage13–50.0222%21 Oct →
anubis13–100.017%18 Oct →
nuke13–10-0.0311%18 Oct →
dust27–130.1023%18 Oct →
mirage3–13-0.0615%14 Oct →
overpass13–110.0213%12 Oct →
dust213–30.2317%8 Oct →
dust215–150.0421%8 Oct →
nuke1–13-0.044%8 Oct →
train13–110.0317%8 Oct →
nuke6–130.0013%5 Oct →
dust216–140.0823%27 Sept →
italy4–00.0225%26 Sept →
shelter12–120.0216%26 Sept →
boulder13–50.1213%26 Sept →
cache13–00.0411%25 Sept →
vertigo13–10.1729%24 Sept →
boulder13–110.1724%23 Sept →
overpass9–130.1220%21 Sept →
boulder10–130.1311%21 Sept →
shelter12–120.0822%20 Sept →
boulder7–2-0.080%19 Sept →
fachwerk2–130.1031%18 Sept →
fachwerk12–120.1017%15 Sept →
shelter13–60.1619%15 Sept →
cache1–13-0.0215%15 Sept →
inferno13–110.0312%15 Sept →
nuke19–170.0521%13 Sept →
nuke13–30.1735%12 Sept →
ancient13–100.0324%10 Sept →
inferno8–80.0513%9 Sept →
ancient13–100.0432%9 Sept →
eldorado9–70.1634%3 Sept →
eldorado3–9-0.0217%3 Sept →
mirage13–11-0.0116%3 Sept →
dust213–11-0.0628%3 Sept →
debris8–80.0525%3 Sept →
inferno13–110.0115%28 Aug →
anubis13–100.0116%28 Aug →
dust213–100.0327%28 Aug →
mirage13–80.0244%28 Aug →
nuke13–110.0628%27 Aug →
dust213–100.0935%27 Aug →
nuke2–13-0.0435%27 Aug →
inferno8–130.0625%27 Aug →
dust23–13-0.0110%25 Aug →
inferno13–10-0.0618%25 Aug →
dust219–15-0.0122%18 Aug →
inferno14–160.027%15 Aug →
anubis10–130.0612%15 Aug →
dust216–19-0.0311%14 Aug →
mirage13–70.0430%13 Aug →
inferno13–100.0432%13 Aug →
inferno4–13-0.0224%13 Aug →
dust213–100.0327%13 Aug →
dust213–10-0.0413%12 Aug →
cache13–10-0.0327%11 Aug →
cache11–13-0.0320%8 Aug →
inferno13–40.0026%8 Aug →
anubis13–50.0616%5 Aug →
nuke16–13-0.0428%4 Aug →
dust29–130.0521%3 Aug →
dust213–110.0218%3 Aug →
cache13–100.0428%3 Aug →
anubis8–13-0.0414%30 Jul →
mirage13–60.1039%28 Jul →
anubis13–60.0717%27 Jul →
inferno13–16-0.0226%26 Jul →
dust213–60.1719%26 Jul →
cache6–130.0936%26 Jul →
dust211–13-0.0231%26 Jul →
dust213–11-0.0220%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.