Mauro

Mauro — CS2 Stats

GB76561198434392218[U:1:474126490]Steam profile ↗✓ No bans

476Tracked matches52%Win rate2020Tracked since
1,354Hours in CS15Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating20,816Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#72340 of 259973 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 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: 20,816 +817 11 Sept – 1 Nov · 37 days played
18,87721,705peak 21,70511 Sept1 Nov
21,705Peak Premier in tracked matches
37Days played since 2026-08-31

Premier CS Rating

  • 889 below peak (21,705)
  • +1,418 over 30 days · improving
  • Next: Red band at 25,000 — 4,184 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-24
  • Blue band first seen 2026-09-24

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate45.9%46.9%49.3%3.4% short
Shot accuracy15.5%13.0%13.4%above
Kill/death ratio1.141.081.12meets
Match win rate48.9%46.7%48.5%meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGMauroPREMIER20,816 · Pink 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

Aim84
Positioning65
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLWWLTLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · +30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 530ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 523ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 508ms

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 (+2.1 against its own average).

Aim8.4
Utility4.8
Positioning6.5
Opening Duels3.0
Clutch3.2

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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, 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

Strengths

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

Areas to improve

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

CT openings. Opening success drops from 66% on T to 45% on CT — first contacts on the defending side are being lost.

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
Positioning6.5
Utility4.8
Mechanics5.7
Opening Duels6.3
Win Impact5.6

Composite 6.7/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time510ms−36ms
first ⅓ avg 545ms → last ⅓ avg 510ms
Headshot accuracy17.9%−2.3%
first ⅓ avg 20.2% → last ⅓ avg 17.9%

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

0.15Best match rating · 13–7 · mirage, 25 Oct →
34%Best headshot accuracy · 13–6 · inferno, 11 Oct →
398msFastest reaction time · 1–13 · mirage, 27 Sept →
13–1Biggest win · mirage, 14 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 70% over 20infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
anubisS2014–670%0.03
infernoC208–1240%-0.01
dust2C198–1142%0.01
cacheS1510–567%0.03
mirageA138–562%0.02
ancientA74–357%0.00
nukeS64–267%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,548Lifetime kills
1.14K/D · Top 50% of Pink band
1,898Matches
48.9%Match win rate · Top 50% of Pink band
45.9%Headshot %
15.5%Shot accuracy · Top 50% of Pink band
5,495MVPs
743Hours (in match)
1,801Bombs planted
482Bombs defused

Most-used weapons

AK-4710,139
AWP4,305
SG 5531,861
SSG 081,446
AUG1,108
P90916

Lifetime map wins

4,337dust2
2,477inferno
709vertigo
557nuke
459lake
361office
265cbble
171train

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

Faceit stats

Combat

82Matches
66%Win rate
1.04Avg K/D
76.0ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1782%1.1414.9
Dust21377%1.0115.8
Inferno862%0.9214.5
Anubis771%0.9914.3
Cache4100%0.7514.3
Ancient367%1.7414.7
Vertigo250%1.3421.5
Overpass250%1.1613.0

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.

18.1%Headshot accuracy
40.0%Accuracy (enemy spotted)
41.2%Spray accuracy
75.7%Counter-strafing
9.1°Preaim
507msReaction time
65.6%T opening success
44.7%CT opening success
0.58Enemies flashed / flash
3.2%Flash assists
6.68HE damage / grenade
5.40Flashes / match

Recommended for you

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0615%1 Nov →
dust211–13-0.0015%1 Nov →
anubis13–50.0013%1 Nov →
nuke13–5-0.009%31 Oct →
cache6–13-0.109%31 Oct →
inferno15–150.0119%29 Oct →
anubis9–13-0.0614%28 Oct →
anubis13–60.0613%25 Oct →
dust210–130.0228%25 Oct →
mirage13–70.1519%25 Oct →
inferno14–16-0.0415%25 Oct →
anubis13–50.0527%25 Oct →
dust211–13-0.0324%24 Oct →
inferno13–10-0.0220%24 Oct →
anubis13–90.0321%24 Oct →
anubis10–130.0116%24 Oct →
dust24–13-0.0323%23 Oct →
anubis13–110.0115%23 Oct →
mirage13–30.0116%23 Oct →
inferno7–130.0119%23 Oct →
nuke8–13-0.0316%22 Oct →
mirage15–15-0.0113%21 Oct →
dust211–130.0515%21 Oct →
dust215–15-0.0521%20 Oct →
cache13–80.0321%19 Oct →
anubis13–100.0521%18 Oct →
mirage16–120.0517%18 Oct →
anubis13–90.0422%17 Oct →
dust29–13-0.0617%16 Oct →
dust211–13-0.0329%16 Oct →
nuke13–40.0928%15 Oct →
cache13–9-0.0113%14 Oct →
inferno16–130.027%13 Oct →
mirage13–80.0922%13 Oct →
cache13–90.0117%12 Oct →
cache8–13-0.0520%11 Oct →
inferno13–60.0234%11 Oct →
mirage10–130.0430%11 Oct →
inferno6–13-0.0527%11 Oct →
ancient13–70.0733%11 Oct →
inferno16–130.0615%11 Oct →
cache13–20.0325%11 Oct →
inferno8–130.0218%11 Oct →
dust28–130.0129%10 Oct →
cache13–60.1116%10 Oct →
anubis13–90.0918%10 Oct →
nuke13–80.0811%9 Oct →
cache14–160.0922%9 Oct →
anubis13–90.1015%8 Oct →
cache13–50.1418%3 Oct →
anubis11–130.0223%3 Oct →
dust29–13-0.0024%2 Oct →
inferno4–13-0.0623%2 Oct →
ancient13–40.0116%2 Oct →
mirage13–5-0.053%2 Oct →
inferno8–130.0218%1 Oct →
dust213–70.0423%1 Oct →
inferno13–10-0.0318%1 Oct →
mirage10–130.0321%27 Sept →
dust213–60.0917%27 Sept →
inferno10–130.0321%27 Sept →
nuke13–10-0.0013%27 Sept →
dust213–6-0.0221%27 Sept →
mirage1–13-0.0715%27 Sept →
dust213–90.0523%27 Sept →
inferno9–130.0718%27 Sept →
cache4–13-0.049%27 Sept →
mirage8–13-0.0020%27 Sept →
ancient13–90.0814%27 Sept →
inferno13–7-0.094%26 Sept →
anubis3–130.0113%25 Sept →
anubis13–40.0521%24 Sept →
cache13–110.0318%24 Sept →
cache13–90.0520%23 Sept →
anubis13–60.0114%23 Sept →
anubis13–7-0.0115%23 Sept →
cache8–13-0.0118%19 Sept →
inferno13–8-0.0120%18 Sept →
nuke9–130.0321%18 Sept →
ancient6–13-0.0318%16 Sept →
anubis10–130.0227%16 Sept →
dust211–13-0.0419%15 Sept →
inferno11–13-0.0519%15 Sept →
mirage13–90.0218%14 Sept →
mirage13–10.0524%14 Sept →
anubis13–50.0324%14 Sept →
anubis7–130.0218%13 Sept →
cache13–40.0524%13 Sept →
cache13–20.0517%13 Sept →
anubis13–30.0322%13 Sept →
ancient10–130.0123%13 Sept →
dust213–50.0221%13 Sept →
inferno6–130.0130%13 Sept →
inferno10–13-0.0326%13 Sept →
dust213–50.1025%11 Sept →
inferno13–9-0.0133%11 Sept →
ancient7–13-0.0512%11 Sept →
dust213–5-0.0115%11 Sept →
dust213–70.0620%11 Sept →
mirage13–60.0133%11 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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