Mr. rat

Mr. rat — CS2 Stats

76561198992867825[U:1:1032602097]Steam profile ↗✓ No bans

1,521Tracked matches38%Win rate2020Tracked since
964Hours in CS
CSDB Rating6.7 SolidSupport
Premier CS Rating22,434Top 25% of 211,827 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#50675 of 258707 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 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: 22,434 -3,497 1 Aug – 27 Oct · 15 days played
22,43425,931peak 25,9311 Aug27 Oct
25,931Peak Premier in tracked matches
42Days played since 2026-07-28

Premier CS Rating

  • 3,497 below peak (25,931)
  • -2,289 over 30 days · declining
  • -3,497 over 90 days
  • Next: Red band at 25,000 — 2,566 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.5%46.8%48.2%2.7% short
Shot accuracy6.3%13.0%13.2%6.9% short
Kill/death ratio1.251.061.07above
Match win rate49.8%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMr. ratFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,434 · Pink 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

Aim79
Positioning71
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLLLWLWWLL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −5.5pp headshot accuracy · −80ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 502ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 542ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

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 (+1.3 against its own average).

Aim7.9
Utility7.5
Positioning7.1
Opening Duels4.1
Clutch6.0

Effective flashesHigh utility contribution

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 0.79 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 562ms 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

Aim7.9
Positioning7.1
Utility7.5
Mechanics6.7
Opening Duels5.8
Win Impact1.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time561ms+19ms
first ⅓ avg 542ms → last ⅓ avg 561ms
Headshot accuracy17.7%−0.0%
first ⅓ avg 17.7% → last ⅓ avg 17.7%

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

0.25Best match rating · 13–3 · ancient, 20 Sept →
33%Best headshot accuracy · 13–5 · dust2, 18 Oct →
398msFastest reaction time · 7–1 · nuke, 23 Aug →
13–3Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 72% over 18dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
cacheC207–1335%0.04
infernoS1813–572%-0.01
dust2D144–1029%0.00
nukeS139–469%0.03
mirageC114–736%0.03
anubisA116–555%0.03
ancientD93–633%0.02
train—21–150%0.02
vertigo—11–0100%0.04
office—10–10%-0.09

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.

Lifetime stats

48,589Lifetime kills
1.25K/D · Top 25% of Level 8 players
2,146Matches
49.8%Match win rate · Top 25% of Level 8 players
45.5%Headshot %
6.3%Shot accuracy
6,331MVPs
964Hours (in match)
3,165Bombs planted
653Bombs defused

Most-used weapons

Lifetime map wins

4,625inferno
2,531dust2
1,929nuke
1,473vertigo
875train
467office
76italy
15ar_shoots

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

Faceit stats

Combat

44Matches
82%Win rate
1.48Avg K/D
96.5ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis978%1.3816.4
Inferno989%1.2019.1
Cache771%1.4723.0
Nuke667%1.3218.8
Mirage5100%2.5525.8
Ancient580%1.5319.6
Dust23100%1.0117.3

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.

17.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
42.3%Spray accuracy
80.2%Counter-strafing
9.2°Preaim
562msReaction time
59.6%T opening success
46.7%CT opening success
0.79Enemies flashed / flash
11.8%Flash assists
9.94HE damage / grenade
14.11Flashes / match

Recommended for you

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
dust213–50.0619%28 Oct →
cache2–130.0115%27 Oct →
dust22–130.0213%27 Oct →
ancient11–13-0.0110%27 Oct →
inferno13–80.1215%24 Oct →
cache9–130.0116%24 Oct →
cache13–70.1116%20 Oct →
vertigo13–100.0420%20 Oct →
ancient10–13-0.0114%18 Oct →
inferno5–13-0.0517%18 Oct →
dust213–50.0333%18 Oct →
nuke11–130.1222%12 Oct →
mirage9–130.0625%12 Oct →
cache8–130.1121%5 Oct →
nuke7–130.0018%4 Oct →
cache7–13-0.0022%4 Oct →
anubis9–130.1315%4 Oct →
anubis11–130.0310%30 Sept →
mirage10–130.0121%30 Sept →
dust29–13-0.0123%25 Sept →
anubis11–13-0.0117%25 Sept →
cache13–70.1122%25 Sept →
nuke16–140.0216%22 Sept →
cache15–15-0.0417%22 Sept →
ancient13–30.2516%20 Sept →
ancient13–100.019%18 Sept →
dust26–130.0517%18 Sept →
mirage13–50.1021%18 Sept →
nuke13–110.0417%18 Sept →
inferno7–13-0.0010%12 Sept →
inferno13–11-0.0320%10 Sept →
nuke13–90.0517%10 Sept →
ancient9–13-0.0419%10 Sept →
dust25–13-0.0415%9 Sept →
nuke13–110.0819%9 Sept →
mirage11–13-0.0317%8 Sept →
ancient12–12-0.0113%8 Sept →
ancient12–12-0.0211%5 Sept →
train3–130.0129%5 Sept →
inferno7–13-0.0911%5 Sept →
cache13–9-0.0116%4 Sept →
dust213–100.0321%4 Sept →
mirage13–60.1019%4 Sept →
cache9–130.0912%2 Sept →
mirage11–130.1020%2 Sept →
nuke11–13-0.0118%1 Sept →
cache13–90.0513%1 Sept →
dust211–130.0411%30 Aug →
cache9–130.0821%30 Aug →
cache14–160.0213%28 Aug →
inferno13–9-0.0517%28 Aug →
inferno13–7-0.0017%27 Aug →
dust23–130.0116%26 Aug →
anubis13–9-0.037%25 Aug →
inferno13–9-0.0114%25 Aug →
mirage3–13-0.0521%24 Aug →
inferno13–110.0220%24 Aug →
mirage9–130.0219%24 Aug →
anubis13–60.1111%23 Aug →
dust22–13-0.0522%23 Aug →
inferno9–13-0.0010%23 Aug →
inferno13–11-0.0416%23 Aug →
nuke7–10.0118%23 Aug →
mirage16–13-0.0416%23 Aug →
nuke11–1-0.0210%22 Aug →
office3–13-0.0921%22 Aug →
dust23–13-0.0413%22 Aug →
nuke13–110.1031%22 Aug →
mirage11–130.016%19 Aug →
cache6–13-0.0325%19 Aug →
cache5–13-0.0123%19 Aug →
inferno13–100.0113%17 Aug →
cache4–130.0516%15 Aug →
cache13–100.016%12 Aug →
cache16–140.0521%12 Aug →
anubis13–10-0.0118%8 Aug →
dust213–11-0.0522%8 Aug →
nuke13–50.1620%6 Aug →
anubis13–60.1017%6 Aug →
mirage19–170.0515%5 Aug →
inferno6–13-0.0419%4 Aug →
inferno13–70.0221%4 Aug →
ancient7–13-0.0515%2 Aug →
inferno11–30.0013%2 Aug →
dust21–13-0.1113%2 Aug →
cache12–12-0.0225%2 Aug →
anubis12–120.0819%1 Aug →
ancient13–30.088%1 Aug →
train13–80.0421%1 Aug →
dust212–120.0718%1 Aug →
inferno13–80.0314%1 Aug →
nuke5–13-0.0516%1 Aug →
cache5–30.1417%1 Aug →
inferno13–60.0110%1 Aug →
anubis13–80.0419%1 Aug →
inferno13–8-0.0514%30 Jul →
cache7–130.0423%30 Jul →
anubis1–13-0.0925%29 Jul →
nuke13–6-0.0628%29 Jul →
anubis13–11-0.0316%28 Jul →

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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