MasterD

MasterD — CS2 Stats

US76561198060873383[U:1:100607655]Steam profile ↗✓ No bans

1,177Tracked matches16%Win rate2020Tracked since
3,061Hours in CS1Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,177
+0.6ppWin rate · 15.4% → 16.0%

Rating over time

Premier CS Rating: 24,459 +373 25 Jun – 30 Jun · 2 days played
24,08624,459peak 24,45925 Jun30 Jun
24,459Peak Premier in tracked matches
35Days played since 2026-06-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2——
Win rate0%——
K/D0.76——
Headshot %27%——

Measured 28 Oct 2026 → 5 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim72
Positioning59
Utility48

0–100 skill scores via Leetify.

Recent form

COLD35–59–6Last 10035%Win rateLTWWLLLLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · +25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 511ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 552ms

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 (+1.6 against its own average).

Aim7.2
Utility4.8
Positioning5.9
Opening Duels2.2

Effective flashesLimited 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.

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 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 554ms 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

Aim7.2
Positioning5.9
Utility4.8
Mechanics8.2
Opening Duels2.0
Win Impact0.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time560ms−51ms
first ⅓ avg 611ms → last ⅓ avg 560ms
Headshot accuracy16.4%+1.8%
first ⅓ avg 14.6% → last ⅓ avg 16.4%

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

0.15Best match rating · 13–8 · cache, 23 Aug →
100%Best headshot accuracy · 0–2 · mirage, 2 Aug →
375msFastest reaction time · 1–6 · vertigo, 29 Sept →
13–1Biggest win · mirage, 2 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 38% over 21trainWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC218–1338%-0.00
mirageD205–1525%-0.01
nukeC135–838%0.02
trainD71–614%-0.03
vertigoD51–420%0.00
fachwerk—43–175%0.01
anubis—41–325%-0.01
ancient—40–40%-0.02
dust2—42–250%-0.01
overpass—31–233%0.03
office—30–30%0.04
inferno—32–167%-0.01
boulder—32–167%0.06
shelter—21–150%0.02
warden—22–0100%0.04
italy—11–0100%0.11
alpine—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

98,202Lifetime kills
1.09K/D · Top 50% of tracked players
5,063Matches
46.8%Match win rate · Top 50% of tracked players
32.7%Headshot %
16.4%Shot accuracy · Top 25% of tracked players
9,744MVPs
1,848Hours (in match)
3,871Bombs planted
1,151Bombs defused

Most-used weapons

Lifetime map wins

9,762dust2
6,843nuke
3,205train
2,519inferno
674lake
578cbble
440vertigo
349bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.7%Spray accuracy
86.8%Counter-strafing
11.2°Preaim
554msReaction time
37.3%T opening success
39.0%CT opening success
0.76Enemies flashed / flash
6.5%Flash assists
9.61HE damage / grenade
4.10Flashes / 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. 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 37.3018% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0512%29 Oct →
overpass12–120.0313%29 Oct →
cache13–7-0.0613%17 Oct →
cache13–110.0713%29 Sept →
vertigo1–6-0.090%29 Sept →
vertigo10–130.0818%29 Sept →
mirage11–130.0117%27 Sept →
mirage5–13-0.0220%27 Sept →
nuke13–30.0721%27 Sept →
nuke7–130.0818%19 Sept →
cache6–130.028%13 Sept →
fachwerk13–6-0.0523%13 Sept →
cache4–13-0.0812%7 Sept →
nuke4–130.0125%7 Sept →
cache8–13-0.0318%6 Sept →
nuke5–13-0.0124%5 Sept →
cache7–13-0.0320%3 Sept →
mirage12–120.0212%3 Sept →
anubis7–130.0117%2 Sept →
ancient12–120.0317%1 Sept →
cache10–13-0.0127%31 Aug →
office5–130.0610%31 Aug →
cache8–13-0.0615%30 Aug →
vertigo12–12-0.029%30 Aug →
ancient8–13-0.067%30 Aug →
mirage11–130.0514%30 Aug →
cache1–130.0017%30 Aug →
nuke6–130.0529%30 Aug →
cache12–120.0317%30 Aug →
cache11–130.0129%24 Aug →
anubis8–13-0.0719%24 Aug →
train6–130.0312%24 Aug →
mirage13–20.0618%24 Aug →
shelter9–130.0212%23 Aug →
cache13–80.1517%23 Aug →
dust21–2-0.080%2 Aug →
inferno13–7-0.059%2 Aug →
nuke13–40.016%2 Aug →
mirage13–10.0419%2 Aug →
mirage0–2-0.04100%2 Aug →
vertigo7–13-0.019%1 Aug →
nuke9–13-0.0418%1 Aug →
mirage7–13-0.076%1 Aug →
overpass7–13-0.026%22 Jul →
ancient4–13-0.0521%22 Jul →
fachwerk13–60.0213%21 Jul →
train0–13-0.0426%21 Jul →
mirage3–13-0.0518%21 Jul →
office3–130.0414%21 Jul →
boulder2–7-0.056%20 Jul →
ancient9–13-0.0127%20 Jul →
vertigo13–40.0723%20 Jul →
italy13–60.1115%19 Jul →
anubis13–100.0310%19 Jul →
fachwerk13–20.079%19 Jul →
train2–13-0.0925%19 Jul →
cache13–90.0214%19 Jul →
nuke6–130.0014%19 Jul →
overpass13–90.0713%19 Jul →
mirage13–4-0.0814%18 Jul →
cache13–40.0421%18 Jul →
mirage11–13-0.0317%18 Jul →
mirage12–120.0422%18 Jul →
cache8–13-0.095%15 Jul →
nuke13–50.079%15 Jul →
nuke4–13-0.0623%15 Jul →
inferno9–130.0216%14 Jul →
dust213–80.1027%14 Jul →
cache13–60.0522%13 Jul →
shelter13–100.0217%13 Jul →
office6–130.0117%13 Jul →
boulder13–70.1014%12 Jul →
anubis6–130.0114%12 Jul →
nuke13–10.0213%12 Jul →
cache6–130.0110%12 Jul →
train3–13-0.0439%12 Jul →
mirage13–40.0213%12 Jul →
mirage5–13-0.0512%9 Jul →
fachwerk10–130.017%9 Jul →
boulder13–110.1214%9 Jul →
cache11–13-0.0111%9 Jul →
dust28–13-0.058%8 Jul →
mirage10–130.0111%8 Jul →
train7–13-0.052%8 Jul →
train9–130.010%7 Jul →
cache13–11-0.0116%7 Jul →
mirage4–130.0222%7 Jul →
alpine0–3-0.050%7 Jul →
cache13–9-0.0311%30 Jun →
mirage8–13-0.0218%30 Jun →
nuke0–40.0433%30 Jun →
dust213–5-0.0113%30 Jun →
warden13–40.0612%29 Jun →
mirage13–60.0010%29 Jun →
train13–5-0.0110%29 Jun →
nuke13–100.0317%28 Jun →
cache2–13-0.0726%28 Jun →
mirage11–13-0.0110%28 Jun →
warden13–80.029%26 Jun →
inferno13–100.0126%25 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.