MRSU

MRSU — CS2 Stats

76561198452050775[U:1:491785047]Steam profile ↗✓ No bans

777Tracked matches60%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating5,852Light Blue band · top ~74.7% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 5,852 +1,632 4 Sept – 31 Oct · 23 days played
3,7656,888peak 6,8884 Sept31 Oct
7,126Peak Premier in tracked matches
23Days played since 2026-09-04

Premier CS Rating

  • 1,036 below peak (6,888)
  • +675 over 30 days · improving
  • Next: Blue band at 10,000 — 4,148 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGMRSUFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER5,852 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLWLLWLLLWL

Last 10 vs previous 10: −60pp win rate · −0.04 avg rating · −6.5pp headshot accuracy · −71ms reaction

Win rate down 60pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 594ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 629ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.7
Utility5.2
Positioning5.6
Opening Duels4.0

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 641ms 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

Aim5.7
Positioning5.6
Utility5.2
Mechanics6.4
Opening Duels5.2
Win Impact8.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time643ms+32ms
first ⅓ avg 611ms → last ⅓ avg 643ms
Headshot accuracy12.0%−1.1%
first ⅓ avg 13.0% → last ⅓ avg 12.0%

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.

Personal bests

0.14Best match rating · 9–13 · ancient, 23 Sept →
29%Best headshot accuracy · 2–7 · mirage, 24 Sept →
406msFastest reaction time · 13–6 · inferno, 9 Oct →
13–0Biggest win · dust2, 23 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 67% over 15dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%0.01
ancientC187–1139%-0.01
mirageC156–940%-0.01
nukeS1510–567%-0.02
dust2D144–1029%-0.03
anubisC94–544%-0.02
cacheA74–357%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches
36%Win rate
0.74Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

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.

12.3%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.9%Spray accuracy
79.0%Counter-strafing
9.7°Preaim
641msReaction time
59.1%T opening success
42.2%CT opening success
0.47Enemies flashed / flash
4.7%Flash assists
9.11HE damage / grenade
6.99Flashes / 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 12.3366% — 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 0.4686 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 14 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
cache5–13-0.128%31 Oct →
mirage13–60.0413%28 Oct →
dust211–13-0.0412%28 Oct →
ancient3–13-0.029%28 Oct →
inferno13–60.028%28 Oct →
nuke8–13-0.109%27 Oct →
inferno4–13-0.100%27 Oct →
ancient9–130.027%24 Oct →
anubis13–3-0.066%24 Oct →
inferno11–13-0.035%23 Oct →
nuke13–80.0423%23 Oct →
nuke13–7-0.048%23 Oct →
ancient16–13-0.0813%23 Oct →
ancient13–16-0.0015%23 Oct →
dust213–0-0.0216%23 Oct →
ancient13–60.0217%23 Oct →
cache13–50.0311%23 Oct →
inferno13–9-0.0312%22 Oct →
ancient13–40.1210%20 Oct →
nuke13–10-0.0716%20 Oct →
cache13–9-0.0622%16 Oct →
dust28–13-0.0610%15 Oct →
mirage1–13-0.114%15 Oct →
inferno13–60.0712%15 Oct →
ancient13–10-0.0513%15 Oct →
nuke11–13-0.0224%14 Oct →
ancient13–70.0521%14 Oct →
nuke5–9-0.1010%9 Oct →
anubis13–11-0.056%9 Oct →
inferno12–16-0.0312%9 Oct →
inferno13–60.0719%9 Oct →
dust213–16-0.0213%8 Oct →
dust26–13-0.1110%2 Oct →
ancient11–13-0.0710%2 Oct →
nuke9–40.089%2 Oct →
mirage11–13-0.0416%2 Oct →
dust28–130.0313%1 Oct →
cache13–5-0.026%1 Oct →
mirage11–130.0512%1 Oct →
mirage13–30.0113%1 Oct →
mirage16–14-0.0112%1 Oct →
inferno7–13-0.034%1 Oct →
dust211–13-0.0611%1 Oct →
mirage9–13-0.0311%30 Sept →
ancient6–13-0.067%30 Sept →
ancient13–5-0.0210%30 Sept →
mirage13–4-0.0710%30 Sept →
ancient15–15-0.067%30 Sept →
anubis12–16-0.0513%30 Sept →
inferno16–140.016%30 Sept →
mirage13–80.0310%30 Sept →
mirage15–15-0.068%29 Sept →
dust213–4-0.0010%29 Sept →
dust20–6-0.0313%29 Sept →
ancient7–13-0.0718%29 Sept →
inferno13–11-0.0514%29 Sept →
ancient10–13-0.047%29 Sept →
anubis10–13-0.065%29 Sept →
cache13–8-0.0811%29 Sept →
dust213–9-0.0023%29 Sept →
inferno13–9-0.0614%29 Sept →
dust213–20.0314%29 Sept →
nuke13–7-0.0113%29 Sept →
inferno13–8-0.0110%25 Sept →
anubis9–13-0.0810%25 Sept →
dust27–13-0.0321%24 Sept →
mirage2–70.1429%24 Sept →
ancient8–13-0.0111%23 Sept →
nuke13–8-0.0213%23 Sept →
nuke13–100.055%23 Sept →
nuke13–16-0.048%23 Sept →
inferno13–80.0722%23 Sept →
inferno11–130.1116%23 Sept →
dust28–13-0.039%23 Sept →
anubis10–130.038%23 Sept →
ancient9–130.1414%23 Sept →
inferno13–50.0811%23 Sept →
dust23–13-0.0321%23 Sept →
inferno15–15-0.038%22 Sept →
mirage11–130.0216%22 Sept →
inferno11–130.0514%22 Sept →
nuke13–6-0.0110%22 Sept →
nuke13–7-0.0324%22 Sept →
mirage7–13-0.0710%22 Sept →
inferno13–6-0.0310%22 Sept →
nuke5–13-0.0914%22 Sept →
inferno5–13-0.0026%22 Sept →
ancient16–13-0.0214%22 Sept →
anubis13–100.069%22 Sept →
nuke13–110.0415%22 Sept →
mirage6–130.0024%22 Sept →
anubis13–60.0411%17 Sept →
mirage13–7-0.0115%17 Sept →
cache10–13-0.0413%11 Sept →
cache6–13-0.0618%11 Sept →
anubis12–16-0.0510%11 Sept →
ancient10–13-0.0412%11 Sept →
inferno13–6-0.013%11 Sept →
inferno13–30.027%11 Sept →
inferno9–130.0110%4 Sept →

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 →

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