MR_P

MR_P — CS2 Stats

DE76561198691619270[U:1:731353542]Steam profile ↗✓ No bans

120Tracked matches44%Win rate2026Tracked since
87Hours in CS7Hrs last 2 wks
CSDB Rating2.9 LearningSupport
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (12 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: 5,000 -744 8 Sept – 30 Oct · 3 days played
5,0005,744peak 5,7448 Sept30 Oct
5,744Peak Premier in tracked matches
41Days played since 2026-06-18

Premier CS Rating

  • 744 below peak (5,744)
  • Next: Blue band at 10,000 — 5,000 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate32.6%42.7%43.8%11.1% short
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.870.991.020.14 short
Match win rate27.8%43.9%44.7%16.9% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMR_PFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,000 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim23
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

COLD42–47–11Last 10042%Win rateTLTWLLLTWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −2.2pp headshot accuracy · −22ms reaction

Win rate down 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 603ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 595ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 606ms

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 (+1.9 against its own average).

Aim2.3
Utility5.1
Positioning4.1
Opening Duels1.2
Clutch2.6

Strong CT-side openerLimited 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

jL

Plays most like jL 61% 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

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning4.1
Utility5.1
Mechanics3.2
Opening Duels2.1
Win Impact3.0

Composite 2.9/10 (Learning), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time586ms−88ms
first ⅓ avg 674ms → last ⅓ avg 586ms
Headshot accuracy9.1%−0.7%
first ⅓ avg 9.8% → last ⅓ avg 9.1%

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.

Personal bests

0.15Best match rating · 10–13 · nuke, 15 Jul →
27%Best headshot accuracy · 2–13 · anubis, 27 Aug →
438msFastest reaction time · 11–13 · mirage, 6 Oct →
13–0Biggest win · inferno, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 60% over 5mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.01
anubisC167–944%0.00
infernoB136–746%-0.00
nukeB136–746%-0.02
mirageD112–918%-0.01
vertigoC94–544%-0.02
cacheD82–625%-0.02
ancientA53–260%0.00
train—41–325%-0.01
office—21–150%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,881Lifetime kills
0.87K/D
187Matches
27.8%Match win rate
32.6%Headshot %
0.0%Shot accuracy
238MVPs
55Hours (in match)
128Bombs planted
13Bombs defused

Most-used weapons

Lifetime map wins

228dust2
179inferno
175nuke
88vertigo
38train
19office
4ar_shoots

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

Faceit stats

Combat

19Matches
37%Win rate
0.78Avg K/D
78.1ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2520%0.7712.0
Nuke50%0.6914.0
Inferno475%0.7212.3
Anubis450%0.9212.5
Ancient1100%1.0617.0

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.

9.5%Headshot accuracy
28.8%Accuracy (enemy spotted)
27.0%Spray accuracy
64.3%Counter-strafing
12.5°Preaim
586msReaction time
32.2%T opening success
44.6%CT opening success
0.51Enemies flashed / flash
6.7%Flash assists
9.93HE damage / grenade
4.64Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5062° — above the 12° mark we flag

    Aim Training →
  2. 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 9.4561% — below the 15% mark we flag

    Aim Training →
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 & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–120.018%11 Nov →
anubis4–13-0.0611%11 Nov →
vertigo12–12-0.044%10 Nov →
cache13–11-0.016%10 Nov →
train1–3-0.120%10 Nov →
mirage10–13-0.0115%3 Nov →
anubis7–13-0.007%30 Oct →
anubis12–120.0010%28 Oct →
office13–9-0.0410%28 Oct →
inferno2–13-0.086%27 Oct →
nuke3–13-0.053%27 Oct →
ancient13–80.0410%27 Oct →
inferno13–5-0.0211%25 Oct →
cache13–7-0.008%21 Oct →
cache11–13-0.029%21 Oct →
inferno9–130.0313%20 Oct →
train12–120.0711%14 Oct →
dust27–13-0.0410%14 Oct →
dust26–13-0.038%14 Oct →
dust213–11-0.0617%13 Oct →
nuke13–6-0.0220%13 Oct →
anubis2–13-0.0213%10 Oct →
dust213–2-0.085%10 Oct →
anubis13–11-0.007%10 Oct →
anubis13–10.0410%10 Oct →
inferno11–13-0.022%7 Oct →
train12–120.026%7 Oct →
mirage11–13-0.0212%6 Oct →
vertigo13–70.068%6 Oct →
office6–13-0.0614%6 Oct →
train13–11-0.016%30 Sept →
anubis13–60.0312%29 Sept →
cache10–13-0.005%29 Sept →
nuke13–4-0.048%28 Sept →
mirage13–10.0522%28 Sept →
inferno0–13-0.0717%28 Sept →
ancient3–13-0.0415%28 Sept →
vertigo13–40.0411%27 Sept →
dust25–13-0.0613%25 Sept →
vertigo9–13-0.0512%25 Sept →
vertigo4–6-0.056%25 Sept →
vertigo0–13-0.059%25 Sept →
anubis12–12-0.0311%18 Sept →
dust210–70.0017%15 Sept →
inferno16–14-0.0810%8 Sept →
nuke0–13-0.069%8 Sept →
inferno15–150.118%4 Sept →
dust20–6-0.070%4 Sept →
dust27–13-0.027%3 Sept →
dust213–8-0.018%1 Sept →
dust213–90.0011%31 Aug →
inferno13–50.018%31 Aug →
dust213–11-0.047%31 Aug →
mirage0–13-0.097%27 Aug →
mirage9–13-0.0214%27 Aug →
anubis2–13-0.0627%27 Aug →
nuke2–9-0.046%26 Aug →
dust213–40.076%25 Aug →
mirage9–13-0.0213%25 Aug →
dust211–13-0.0120%25 Aug →
nuke4–13-0.0214%25 Aug →
nuke16–140.007%9 Aug →
anubis13–40.042%9 Aug →
ancient13–90.0514%9 Aug →
anubis13–90.0210%9 Aug →
inferno12–120.0120%9 Aug →
vertigo13–50.016%9 Aug →
ancient2–13-0.085%9 Aug →
vertigo13–60.007%30 Jul →
vertigo11–13-0.096%30 Jul →
anubis8–130.0312%28 Jul →
mirage5–13-0.076%27 Jul →
nuke7–13-0.034%24 Jul →
dust213–40.1011%24 Jul →
anubis13–50.0312%24 Jul →
inferno13–7-0.093%24 Jul →
anubis13–80.106%24 Jul →
mirage10–130.0915%23 Jul →
mirage7–13-0.025%23 Jul →
cache5–13-0.045%15 Jul →
dust24–130.0312%15 Jul →
dust211–50.036%15 Jul →
inferno13–00.146%15 Jul →
inferno8–13-0.0213%15 Jul →
nuke10–130.1511%15 Jul →
cache12–12-0.028%15 Jul →
nuke12–12-0.0513%9 Jul →
nuke13–8-0.0612%7 Jul →
dust213–10-0.038%7 Jul →
cache8–13-0.0618%7 Jul →
nuke13–3-0.017%6 Jul →
ancient13–60.036%6 Jul →
cache0–13-0.0116%6 Jul →
nuke13–100.016%6 Jul →
dust27–130.0625%6 Jul →
inferno13–70.0414%6 Jul →
mirage13–40.049%6 Jul →
anubis7–13-0.078%26 Jun →
dust212–12-0.0113%18 Jun →
mirage7–13-0.0013%18 Jun →

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 →

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