Mascarpone — CS2 Stats

76561198139900988[U:1:179635260]✓ No bans

255Tracked matches45%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating11,790Blue band · top ~45.4% of ranked players (population est.)
CSDB Leaderboard#31797 of 46102 tracked
Ladder ranks via Leetify

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CSDB.GGMascarponePREMIER11,790 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning48
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY41563Last 10041%Win rateWWWWWLLLWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim4.0
Aggression5.3
Utility1.6
Positioning4.8
Opening Duels2.0
Clutch6.0

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

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 614ms 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

Aim4.0
Positioning4.8
Utility1.6
Mechanics4.7
Opening Duels2.0
Win Impact3.3

Composite 3.5/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time608ms−3ms
first ⅓ avg 611ms → last ⅓ avg 608ms
Headshot accuracy10.0%−1.2%
first ⅓ avg 11.2% → last ⅓ avg 10.0%

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

0.11Best rating — dust2 10–13
130Biggest win — dust2
5Longest win streak
W5Current streak
96In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 55% over 11mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B41212051%0.01
infernoD2171433%-0.00
mirageD112918%-0.01
ancientA116555%0.02
overpassB63350%0.02
cache41325%0.00
nuke41325%-0.01
anubis1010%-0.08
office1010%-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
29%Win rate
0.93Avg K/D
84.2ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.9413.4
Dust22100%1.0021.5

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.

10.4%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.0%Spray accuracy
71.1%Counter-strafing
10.1°Preaim
614msReaction time
38.2%T opening success
37.4%CT opening success
0.47Enemies flashed / flash
0.4%Flash assists
6.18HE damage / grenade
1.41Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.4367% — below the 15% mark we flag

    Aim Training
  2. 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 0.4679 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 38.2087% — below the 40% mark we flag

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0819%7 Aug
mirage13–5-0.041%6 Aug
cache13–20.0115%6 Aug
dust213–20.0510%6 Aug
dust213–90.018%3 Aug
dust27–13-0.0111%30 Jul
inferno10–13-0.028%30 Jul
dust210–130.0310%25 Jul
ancient13–20.0810%18 Jul
mirage11–130.0111%18 Jul
dust213–10-0.029%18 Jul
dust211–13-0.027%18 Jul
dust25–13-0.0513%14 Jul
ancient15–150.0010%12 Jul
anubis5–13-0.086%12 Jul
mirage8–130.056%12 Jul
dust216–140.0114%11 Jul
office3–13-0.127%8 Jul
cache2–13-0.0614%7 Jul
cache11–13-0.017%7 Jul
cache8–130.0610%7 Jul
overpass4–13-0.0115%4 Jul
dust213–100.0112%3 Jul
inferno3–2-0.1114%2 Jul
dust214–16-0.0015%1 Jul
overpass13–110.0210%30 Jun
dust213–30.0011%30 Jun
dust211–13-0.0117%30 Jun
overpass13–40.0513%24 Jun
mirage10–13-0.062%13 Jun
inferno2–13-0.104%13 Jun
mirage0–13-0.083%13 Jun
dust23–13-0.078%13 Jun
dust213–00.009%12 Jun
dust210–130.1110%12 Jun
overpass6–130.0611%11 Jun
dust215–15-0.0610%10 Jun
mirage6–13-0.0311%10 Jun
nuke0–13-0.0313%10 Jun
dust213–80.0011%10 Jun
inferno5–130.0212%6 Jun
inferno3–13-0.036%6 Jun
inferno2–130.034%9 May
dust25–13-0.0116%6 May
ancient4–13-0.003%27 Apr
ancient13–9-0.0118%20 Apr
overpass13–100.0513%5 Apr
inferno4–13-0.014%25 Mar
inferno5–130.037%22 Mar
dust213–30.056%22 Mar
dust213–80.008%22 Mar
dust213–40.0712%17 Mar
nuke9–130.018%17 Mar
inferno10–130.0415%17 Mar
mirage7–13-0.049%14 Mar
dust29–13-0.0111%13 Mar
dust210–130.0613%13 Mar
overpass1–13-0.0313%13 Mar
ancient13–110.017%28 Feb
dust213–40.0216%28 Feb
dust28–130.0114%28 Feb
dust22–13-0.078%26 Feb
inferno13–70.1014%26 Feb
ancient13–110.017%26 Feb
mirage13–40.089%26 Feb
inferno16–14-0.0312%25 Feb
ancient13–50.036%19 Feb
mirage15–15-0.0213%13 Feb
inferno5–13-0.0812%12 Feb
inferno3–13-0.0317%9 Feb
dust213–40.0813%3 Feb
inferno13–60.099%1 Feb
inferno13–90.0811%31 Jan
ancient13–160.0410%31 Jan
inferno13–90.066%30 Jan
dust213–110.0510%30 Jan
dust213–11-0.024%30 Jan
mirage4–13-0.0718%30 Jan
dust212–30.0215%30 Jan
mirage7–130.0414%29 Jan
dust213–50.0817%29 Jan
inferno9–13-0.058%29 Jan
ancient6–13-0.0017%29 Jan
dust210–130.044%28 Jan
ancient13–90.039%28 Jan
ancient7–130.0110%28 Jan
dust211–130.0614%28 Jan
dust24–130.0113%28 Jan
dust213–90.0314%28 Jan
nuke10–13-0.058%27 Jan
dust216–140.0010%27 Jan
inferno9–13-0.086%27 Jan
inferno13–60.0016%28 Oct
nuke13–90.0216%28 Oct
inferno8–13-0.0313%28 Oct
dust216–13-0.0213%20 Aug
dust24–130.048%19 Aug
dust24–130.019%19 Aug
dust25–13-0.026%19 Aug
inferno5–130.047%19 Aug

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 →