MR4PLAY

MR4PLAY — CS2 Stats

US76561198068687197[U:1:108421469]Steam profile ↗✓ No bans

1,808Tracked matches40%Win rate2022Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating19,875Top 50% of 205,052 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#85607 of 252170 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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: 19,875 +3,222 16 Jun – 12 Oct · 20 days played
16,65320,751peak 20,75116 Jun12 Oct
20,778Peak Premier in tracked matches
48Days played since 2026-06-16

Premier CS Rating

  • 876 below peak (20,751)
  • -2 over 30 days · steady
  • Next: Pink band at 20,000 — 125 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGMR4PLAYFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,875 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLLWLLLWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · +7ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 570ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 567ms

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: Support — Utility contribution stands above the rest of this profile (+3.4 against its own average).

Aim5.9
Utility6.9
Positioning4.8
Opening Duels0.1
Clutch2.2

Effective flashes

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 593ms 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

Aim5.9
Positioning4.8
Utility6.9
Mechanics6.0
Opening Duels1.2
Win Impact1.7

Composite 5.0/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time594ms−24ms
first ⅓ avg 617ms → last ⅓ avg 594ms
Headshot accuracy12.2%+1.5%
first ⅓ avg 10.7% → last ⅓ avg 12.2%

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

0.11Best match rating · 13–3 · dust2, 7 Aug →
32%Best headshot accuracy · 13–8 · dust2, 7 Aug →
398msFastest reaction time · 13–6 · anubis, 10 Sept →
13–1Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
5–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 70% over 10dust2Weakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%0.00
nukeB179–853%0.00
mirageB157–847%-0.01
infernoC146–843%-0.02
anubisB126–650%-0.02
ancientS107–370%-0.01
cache—42–250%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

355Matches
50%Win rate
1.07Avg K/D
84.1ADR
36%Headshot %

Clutches & streaks

31%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8255%1.1116.5
Dust27341%0.9214.4
Inferno6356%1.1414.8
Ancient4055%1.1416.7
Anubis3842%1.0315.6
Nuke3746%1.0515.1
Cache1354%1.0915.1
Vertigo475%1.0711.8

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.

12.1%Headshot accuracy
35.8%Accuracy (enemy spotted)
36.3%Spray accuracy
77.0%Counter-strafing
10.3°Preaim
593msReaction time
37.0%T opening success
32.7%CT opening success
0.72Enemies flashed / flash
4.0%Flash assists
10.69HE damage / grenade
15.41Flashes / 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 12.0539% — 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 36.9729% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.038%13 Oct →
cache7–13-0.0611%12 Oct →
nuke7–130.0417%12 Oct →
dust213–80.0014%12 Oct →
ancient9–13-0.0511%11 Oct →
anubis11–130.0015%11 Oct →
cache9–13-0.016%10 Oct →
inferno16–130.0121%8 Oct →
cache16–130.0015%8 Oct →
mirage19–15-0.0111%8 Oct →
anubis11–130.019%6 Oct →
ancient6–13-0.0812%6 Oct →
dust213–7-0.0713%5 Oct →
ancient13–8-0.0216%5 Oct →
dust28–13-0.0914%4 Oct →
dust26–130.018%30 Sept →
cache13–50.0416%30 Sept →
mirage13–9-0.019%30 Sept →
dust26–13-0.019%30 Sept →
anubis11–13-0.068%30 Sept →
dust20–11-0.108%25 Sept →
nuke13–50.0310%25 Sept →
dust210–13-0.0319%24 Sept →
mirage6–13-0.0418%24 Sept →
mirage3–13-0.0011%23 Sept →
inferno25–210.0910%22 Sept →
dust25–13-0.0012%19 Sept →
nuke13–70.058%15 Sept →
anubis10–13-0.048%15 Sept →
mirage13–80.0013%15 Sept →
dust213–80.039%15 Sept →
ancient11–13-0.0413%10 Sept →
anubis13–60.0021%10 Sept →
ancient16–14-0.0213%10 Sept →
nuke8–13-0.0912%27 Aug →
mirage11–130.0214%26 Aug →
inferno7–13-0.0615%25 Aug →
nuke13–1-0.0215%25 Aug →
dust213–11-0.0015%24 Aug →
mirage2–13-0.073%24 Aug →
ancient13–80.0120%24 Aug →
dust28–130.1010%24 Aug →
inferno3–13-0.077%24 Aug →
anubis13–10-0.039%19 Aug →
inferno13–100.0210%19 Aug →
dust216–140.0012%18 Aug →
nuke15–150.0011%13 Aug →
nuke10–13-0.0118%13 Aug →
dust211–130.0119%12 Aug →
nuke13–30.0411%10 Aug →
inferno15–15-0.027%10 Aug →
dust213–16-0.0313%8 Aug →
mirage13–10-0.0315%8 Aug →
ancient13–8-0.0813%8 Aug →
dust213–80.0732%7 Aug →
nuke10–13-0.0513%7 Aug →
dust213–30.1113%7 Aug →
mirage8–13-0.0419%6 Aug →
anubis13–10-0.0412%5 Aug →
anubis13–5-0.019%5 Aug →
dust211–130.0116%5 Aug →
inferno2–13-0.0610%5 Aug →
mirage13–11-0.0320%5 Aug →
anubis8–13-0.0215%4 Aug →
nuke13–5-0.019%3 Aug →
dust29–13-0.0214%3 Aug →
nuke13–9-0.0110%3 Aug →
anubis13–100.0112%3 Aug →
mirage13–60.0810%3 Aug →
anubis7–13-0.0317%30 Jul →
inferno5–13-0.0416%30 Jul →
anubis16–14-0.029%28 Jul →
nuke13–70.0613%22 Jul →
nuke15–150.0513%22 Jul →
dust27–130.0418%22 Jul →
mirage5–13-0.058%21 Jul →
mirage13–30.079%20 Jul →
dust27–130.0212%20 Jul →
inferno13–90.0112%20 Jul →
inferno13–6-0.042%15 Jul →
nuke5–13-0.024%15 Jul →
mirage10–13-0.0611%15 Jul →
nuke11–130.0211%14 Jul →
dust27–13-0.0410%9 Jul →
dust210–13-0.0016%3 Jul →
inferno2–13-0.027%3 Jul →
dust213–8-0.048%3 Jul →
nuke13–10-0.0310%3 Jul →
dust213–90.0313%1 Jul →
ancient16–120.0814%30 Jun →
nuke13–50.028%27 Jun →
ancient13–100.0314%25 Jun →
inferno13–9-0.0116%25 Jun →
dust213–160.0513%22 Jun →
mirage11–130.0111%22 Jun →
dust24–13-0.040%18 Jun →
dust213–7-0.039%18 Jun →
ancient13–100.069%17 Jun →
dust213–80.068%16 Jun →
inferno11–13-0.0511%16 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 →

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