Din Mammas Man — CS2 Stats

76561198002029427[U:1:41763699]

756Tracked matches39%Win rate2021Tracked since
CSDB Rating4.0 Developing
Premier CS Rating14,895Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#3572 of 5403 tracked
FaceitLevel 4 · 1,038 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDin Mammas ManFACEITLevel 4 · 1,038 ELOSTANDINGTop 81.0% of rankedPREMIER14,895 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

COLD49474Last 10049%Win rateLLLLWWLLTL

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

Player DNA

Aim4.6
Aggression6.2
Utility5.5
Positioning4.6
Opening Duels1.6
Clutch3.8

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

Twistzz

Plays most like Twistzz 83% 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. 577ms 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

Aim4.6
Positioning4.6
Utility5.5
Mechanics4.9
Opening Duels1.6
Win Impact1.4

Composite 4.0/10 (Developing), 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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time572ms−25ms
first ⅓ avg 598ms → last ⅓ avg 572ms
Headshot accuracy13.1%−0.6%
first ⅓ avg 13.7% → last ⅓ avg 13.1%

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 — ancient 13–2
132Biggest win — ancient
5Longest win streak
L4Current streak
125In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 80% over 10infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%-0.01
mirageA2112957%-0.00
infernoD1441029%-0.00
overpassC135838%0.02
nukeC104640%-0.01
ancientS108280%0.02
trainD62433%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

281Matches
50%Win rate
1.04Avg K/D
77.3ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8954%1.1114.0
Dust25340%1.0213.8
Inferno3444%0.9415.2
Nuke2846%1.0015.1
Vertigo2152%1.0314.2
Ancient2060%0.9615.1
Anubis1958%1.0316.4
Overpass771%1.1314.6

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.

13.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.2%Spray accuracy
71.9%Counter-strafing
10.7°Preaim
577msReaction time
36.3%T opening success
36.2%CT opening success
0.57Enemies flashed / flash
7.6%Flash assists
7.31HE damage / grenade
12.13Flashes / 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 13.4986% — below the 15% mark we flag

    Aim Training
  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 36.3118% — below the 40% mark we flag

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass10–130.0410%16 Jan
train7–13-0.105%14 Jan
inferno8–13-0.0111%14 Jan
dust29–13-0.0217%13 Jan
dust213–10-0.0311%13 Jan
overpass13–80.137%13 Jan
nuke7–13-0.0010%13 Jan
overpass12–16-0.0513%13 Jan
overpass15–150.0616%13 Jan
dust211–13-0.048%10 Jan
nuke16–14-0.0211%10 Jan
ancient13–50.0214%10 Jan
overpass13–90.0510%10 Jan
ancient16–120.0117%9 Jan
mirage10–130.0316%9 Jan
mirage15–150.0513%9 Jan
ancient11–13-0.0213%9 Jan
mirage3–130.0315%9 Jan
nuke3–13-0.0121%9 Jan
dust213–70.0532%9 Jan
dust210–13-0.0321%9 Jan
dust210–13-0.0119%9 Jan
nuke11–13-0.0013%8 Jan
mirage6–13-0.065%8 Jan
dust213–110.0112%8 Jan
overpass9–13-0.005%8 Jan
mirage13–11-0.0219%8 Jan
mirage13–9-0.0011%8 Jan
dust213–30.0416%8 Jan
overpass10–130.0417%8 Jan
inferno10–130.007%8 Jan
inferno7–13-0.0118%8 Jan
overpass10–130.000%8 Jan
mirage13–90.058%8 Jan
inferno10–130.0411%7 Jan
ancient13–110.0117%7 Jan
nuke10–13-0.0215%7 Jan
mirage13–4-0.0413%7 Jan
mirage13–60.1013%7 Jan
dust215–150.0114%7 Jan
mirage13–100.019%7 Jan
train2–13-0.128%7 Jan
nuke7–13-0.0711%7 Jan
dust213–5-0.0117%7 Jan
dust213–7-0.036%7 Jan
train10–13-0.057%7 Jan
ancient13–11-0.0114%6 Jan
inferno7–13-0.0412%6 Jan
dust213–4-0.0219%6 Jan
mirage13–11-0.028%6 Jan
mirage13–110.0010%6 Jan
overpass11–130.0313%6 Jan
ancient13–40.0212%6 Jan
dust213–9-0.0010%6 Jan
inferno13–40.0624%6 Jan
dust28–130.028%6 Jan
mirage9–13-0.0210%6 Jan
ancient13–20.1510%5 Jan
mirage7–130.049%5 Jan
dust213–6-0.0215%5 Jan
nuke9–130.0118%5 Jan
dust213–90.0012%5 Jan
mirage6–13-0.0314%5 Jan
train13–4-0.0329%5 Jan
overpass13–100.0115%5 Jan
mirage13–10-0.0114%4 Jan
inferno7–13-0.049%4 Jan
overpass13–70.0317%4 Jan
ancient6–13-0.088%4 Jan
dust23–13-0.095%4 Jan
ancient16–14-0.0113%4 Jan
mirage10–13-0.077%3 Jan
inferno6–130.0318%3 Jan
dust28–13-0.019%3 Jan
dust29–130.028%3 Jan
overpass13–11-0.0111%2 Jan
dust29–13-0.0915%2 Jan
inferno13–70.0012%2 Jan
inferno16–120.0319%31 Dec
mirage16–12-0.0012%31 Dec
nuke13–110.0323%31 Dec
train13–7-0.017%30 Dec
train15–150.0012%30 Dec
dust213–110.0213%30 Dec
mirage6–13-0.0713%30 Dec
dust210–130.0112%29 Dec
dust213–90.028%29 Dec
inferno6–13-0.0518%29 Dec
dust213–10-0.0215%29 Dec
overpass6–13-0.0413%28 Dec
nuke13–11-0.0216%28 Dec
inferno7–13-0.1010%28 Dec
mirage13–20.0112%28 Dec
dust211–13-0.0014%28 Dec
ancient13–50.0829%28 Dec
mirage13–4-0.0620%28 Dec
inferno13–40.0115%28 Dec
nuke13–10-0.0113%27 Dec
dust213–5-0.0315%27 Dec
inferno10–130.0321%27 Dec

Match data via Leetify.

Recent teammates

Milestones

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