MATEO

MATEO — CS2 Stats

ES76561198254303181[U:1:294037453]Steam profile ↗✓ No bans

2,606Tracked matches53%Win rate2020Tracked since
2,237Hours in CS
CSDB Rating6.1 SolidAggressive Rifler
FaceitLevel 10 · 1,678 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate37.5%52.0%
Shot accuracy11.6%13.7%
Kill/death ratio0.971.08
Match win rate45.1%48.8%

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CSDB.GGMATEOFACEITLevel 10 · 1,678 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning52
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY5644Last 10056%Win rateLLWLLWWWWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression7.3
Utility4.1
Positioning5.2
Opening Duels3.4
Clutch3.2

Sharp aimerStrong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-fight frequency, 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.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 59% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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
Positioning5.2
Utility4.1
Mechanics7.9
Opening Duels3.6
Win Impact6.1

Composite 6.1/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time584ms−26ms
first ⅓ avg 610ms → last ⅓ avg 584ms
Headshot accuracy17.4%−1.4%
first ⅓ avg 18.8% → last ⅓ avg 17.4%

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.

Highlights

0.15Best rating — inferno 13–6
132Biggest win — ancient
10Longest win streak
L2Current streak
127In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 70% over 10anubisWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A25151060%0.00
infernoS2215768%0.00
ancientB189950%-0.01
anubisC167944%0.00
mirageS107370%-0.01
cacheB63350%-0.01
nuke3030%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,567Lifetime kills
0.97K/D
5,756Matches
45.1%Match win rate
37.5%Headshot %
11.6%Shot accuracy
13,258MVPs
2,237Hours (in match)
3,383Bombs planted
1,064Bombs defused

Most-used weapons

AK-4733,347
AWP16,566
P903,128
MP92,501
MAC-102,093

Lifetime map wins

15,103dust2
11,105inferno
1,915nuke
1,698vertigo
820cbble
809train
224lake
133office

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

Faceit stats

Combat

2,058Matches
50%Win rate
1.04Avg K/D
83.3ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust244648%1.0516.7
Inferno39558%1.0416.4
Ancient34947%1.0217.0
Anubis31049%1.0717.2
Mirage21449%1.0316.6
Nuke8748%1.0116.1
Cache6843%1.0617.6
Vertigo5446%1.0116.8

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.

17.7%Headshot accuracy
41.2%Accuracy (enemy spotted)
43.9%Spray accuracy
85.4%Counter-strafing
9.2°Preaim
580msReaction time
28.0%T opening success
58.8%CT opening success
0.58Enemies flashed / flash
7.7%Flash assists
10.71HE damage / grenade
2.82Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8224 — below the 4 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 28.0018% — below the 40% mark we flag

Spend your practice time on Anubis

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0426%23 Aug
inferno8–13-0.0531%22 Aug
inferno13–40.0222%18 Aug
dust28–13-0.0211%13 Aug
anubis4–13-0.0412%10 Aug
inferno13–9-0.0615%10 Aug
mirage13–11-0.0115%10 Aug
anubis13–50.0516%8 Aug
ancient13–4-0.0024%6 Aug
inferno13–6-0.0318%31 Jul
inferno13–60.1517%27 Jul
nuke10–13-0.096%20 Jul
dust210–130.0118%20 Jul
anubis6–130.0111%13 Jul
anubis7–130.0120%13 Jul
anubis9–13-0.0512%13 Jul
mirage6–13-0.0512%6 Jul
anubis5–13-0.029%6 Jul
anubis13–70.0221%6 Jul
anubis13–90.078%3 Jul
cache13–4-0.0129%1 Jul
dust28–13-0.0318%29 Jun
cache9–13-0.0711%29 Jun
ancient13–11-0.0713%26 Jun
inferno7–13-0.0113%24 Jun
inferno13–50.0317%24 Jun
dust213–80.0016%17 Jun
dust213–10-0.0326%16 Jun
ancient13–70.0336%14 Jun
dust213–70.0931%13 Jun
mirage19–17-0.0525%8 Jun
mirage13–7-0.016%8 Jun
cache13–80.029%7 Jun
ancient13–110.0313%6 Jun
anubis13–11-0.0112%5 Jun
inferno5–13-0.0122%4 Jun
dust213–100.0321%2 Jun
mirage13–90.1520%31 May
ancient3–13-0.077%29 May
anubis11–13-0.0317%29 May
ancient8–13-0.0318%27 May
inferno13–10-0.0114%26 May
ancient13–20.1531%26 May
mirage11–13-0.0414%26 May
inferno13–11-0.0112%25 May
inferno13–10-0.0613%25 May
ancient9–13-0.0517%25 May
anubis11–13-0.016%25 May
mirage13–100.0415%22 May
inferno9–130.0025%22 May
mirage14–16-0.0419%22 May
dust22–13-0.0745%22 May
dust29–13-0.0715%21 May
anubis13–30.0319%21 May
inferno13–110.0330%21 May
ancient3–13-0.0319%21 May
inferno4–13-0.0117%20 May
dust216–120.028%20 May
dust213–110.0421%20 May
mirage13–8-0.0414%20 May
ancient9–130.0020%20 May
dust213–80.0418%20 May
dust27–130.0024%20 May
dust216–130.0423%19 May
inferno13–9-0.0516%19 May
inferno19–150.0423%19 May
anubis16–140.0014%18 May
dust213–70.0250%17 May
dust213–100.0218%17 May
ancient9–13-0.0615%17 May
inferno13–80.0618%17 May
ancient13–9-0.0614%17 May
anubis14–16-0.0214%17 May
dust213–50.0631%17 May
ancient9–130.0216%16 May
anubis7–13-0.0219%15 May
inferno13–80.0120%15 May
cache11–13-0.0110%15 May
dust213–50.0320%15 May
cache8–130.0416%15 May
dust23–13-0.047%15 May
inferno19–160.0223%15 May
nuke9–13-0.0022%15 May
dust213–80.0330%15 May
nuke9–13-0.0113%15 May
inferno7–130.0124%14 May
inferno16–14-0.0416%14 May
ancient13–60.0511%13 May
inferno9–13-0.0313%13 May
dust211–130.0011%13 May
ancient2–13-0.068%13 May
dust213–9-0.0718%13 May
cache13–11-0.0219%12 May
mirage13–90.0018%11 May
ancient16–14-0.0016%11 May
anubis13–30.0530%10 May
dust210–13-0.0531%10 May
ancient13–90.0222%9 May
dust213–30.0718%9 May
ancient2–13-0.009%8 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →