rimington.

rimington. — CS2 Stats

76561199089989176[U:1:1129723448]Steam profile ↗✓ No bans

340Tracked matches53%Win rate2025Tracked since
187Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating14,185Blue band · top ~32.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). 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: 14,185 +5,567 11 Jun – 6 Nov · 32 days played
8,07614,878peak 14,87811 Jun6 Nov
14,999Peak Premier in tracked matches
44Days played since 2026-06-11

Premier CS Rating

  • 693 below peak (14,878)
  • +949 over 30 days · improving
  • Next: Purple band at 15,000 — 815 to go
  • Reached: Blue band · 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.0%42.0%44.4%above
Shot accuracy0.2%9.6%11.9%11.7% short
Kill/death ratio1.020.981.03meets
Match win rate46.8%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGrimington.PREMIER14,185 · Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning69
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWLWLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.4pp headshot accuracy · −45ms reaction

Win rate down 30pp 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 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 511ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 483ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 505ms

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 (+2.5 against its own average).

Aim8.3
Utility3.2
Positioning6.9
Opening Duels4.4
Clutch3.0

Limited 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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning6.9
Utility3.2
Mechanics5.3
Opening Duels5.8
Win Impact6.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time499ms−80ms
first ⅓ avg 580ms → last ⅓ avg 499ms
Headshot accuracy19.5%+0.2%
first ⅓ avg 19.3% → last ⅓ avg 19.5%

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

0.17Best match rating · 14–16 · inferno, 25 Oct →
46%Best headshot accuracy · 6–13 · dust2, 19 Sept →
328msFastest reaction time · 9–13 · inferno, 17 Oct →
13–0Biggest win · ancient, 13 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 62% over 21cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.01
dust2A1811–761%-0.01
nukeB179–853%0.01
infernoC156–940%0.02
ancientA116–555%0.03
anubisA106–460%0.00
cacheD72–529%-0.01
overpass—11–0100%-0.00

Across the last 100 tracked matches.

Lifetime stats

9,206Lifetime kills
1.02K/D · Top 50% of Blue band
502Matches
46.8%Match win rate · Top 25% of Blue band
51.0%Headshot % · Top 25% of Blue band
0.2%Shot accuracy
1,014MVPs
187Hours (in match)
375Bombs planted
122Bombs defused

Most-used weapons

Lifetime map wins

964dust2
827nuke
372inferno
46vertigo
24train
1ar_shoots
1ar_baggage

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

Faceit stats

Combat

32Matches
44%Win rate
1.18Avg K/D
79.3ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1127%1.0617.4
Dust2540%1.0215.8
Ancient450%1.5716.3
Inferno450%1.0316.3
Anubis475%1.5519.5
Overpass250%1.1615.0
Cache10%1.1416.0
Nuke1100%1.1317.0

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.

18.7%Headshot accuracy
38.7%Accuracy (enemy spotted)
42.0%Spray accuracy
73.8%Counter-strafing
9.0°Preaim
508msReaction time
57.7%T opening success
48.9%CT opening success
0.62Enemies flashed / flash
1.9%Flash assists
6.38HE damage / grenade
3.97Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9674 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0421%6 Nov →
nuke13–20.0525%6 Nov →
inferno10–130.0119%6 Nov →
mirage10–100.0114%6 Nov →
mirage7–13-0.0521%1 Nov →
dust28–13-0.0126%25 Oct →
inferno14–160.1722%25 Oct →
inferno6–13-0.0223%23 Oct →
inferno13–90.0215%23 Oct →
ancient13–50.0512%23 Oct →
nuke2–13-0.0010%22 Oct →
dust213–100.0623%21 Oct →
mirage13–110.0220%21 Oct →
mirage13–50.0618%21 Oct →
anubis13–70.0512%21 Oct →
mirage13–40.1019%20 Oct →
ancient13–60.1216%19 Oct →
cache1–10-0.059%19 Oct →
nuke5–13-0.0518%18 Oct →
cache16–12-0.0038%17 Oct →
inferno9–130.039%17 Oct →
cache8–130.0823%16 Oct →
cache13–9-0.0216%16 Oct →
anubis9–10.0640%16 Oct →
ancient13–90.0314%14 Oct →
mirage13–16-0.0112%14 Oct →
dust213–110.0312%14 Oct →
inferno11–13-0.0615%11 Oct →
dust213–9-0.0613%11 Oct →
dust23–13-0.0631%11 Oct →
anubis4–13-0.0936%9 Oct →
nuke13–50.0042%9 Oct →
dust20–8-0.100%9 Oct →
mirage13–90.0129%8 Oct →
ancient13–110.0724%8 Oct →
dust29–13-0.0910%8 Oct →
mirage13–110.0212%7 Oct →
cache5–13-0.066%7 Oct →
nuke13–100.0514%7 Oct →
nuke14–16-0.0311%6 Oct →
anubis2–13-0.0411%6 Oct →
nuke13–110.0218%5 Oct →
inferno10–130.058%4 Oct →
dust213–9-0.0314%3 Oct →
nuke8–130.0114%3 Oct →
cache15–15-0.0115%2 Oct →
anubis0–10-0.1111%2 Oct →
nuke10–13-0.0010%1 Oct →
anubis16–130.0223%1 Oct →
ancient9–13-0.0012%1 Oct →
mirage13–110.0020%1 Oct →
nuke13–60.0814%1 Oct →
anubis13–60.0110%1 Oct →
inferno13–80.0332%27 Sept →
inferno13–110.0225%27 Sept →
mirage13–70.0420%21 Sept →
inferno13–50.0216%20 Sept →
dust213–10-0.0133%20 Sept →
cache0–40.000%20 Sept →
dust26–13-0.0146%19 Sept →
mirage4–13-0.0736%19 Sept →
anubis16–120.0829%19 Sept →
nuke10–30.0113%19 Sept →
dust213–10-0.0115%18 Sept →
nuke15–150.0418%18 Sept →
mirage13–50.0821%16 Sept →
ancient11–130.0025%10 Sept →
inferno4–13-0.0543%9 Sept →
mirage13–110.0224%9 Sept →
mirage13–9-0.0134%9 Sept →
anubis15–15-0.036%7 Sept →
mirage3–13-0.0226%23 Aug →
dust213–6-0.0012%23 Aug →
anubis13–110.0421%4 Jul →
dust28–13-0.0417%3 Jul →
nuke13–70.0533%30 Jun →
ancient15–15-0.0130%28 Jun →
mirage6–13-0.0717%27 Jun →
inferno5–130.0828%23 Jun →
nuke8–13-0.0419%23 Jun →
dust213–40.0014%22 Jun →
mirage12–160.0316%22 Jun →
inferno11–13-0.0218%22 Jun →
dust213–100.0210%22 Jun →
ancient13–80.0319%21 Jun →
nuke13–90.0223%21 Jun →
overpass13–11-0.0015%21 Jun →
nuke15–150.0415%21 Jun →
dust213–40.0619%21 Jun →
nuke13–8-0.0214%15 Jun →
inferno13–100.0020%15 Jun →
ancient13–0-0.020%13 Jun →
mirage7–13-0.0314%13 Jun →
dust213–20.0820%13 Jun →
mirage8–130.0114%12 Jun →
ancient4–13-0.0211%12 Jun →
dust211–130.0220%11 Jun →
inferno13–70.0428%11 Jun →
mirage13–60.0511%11 Jun →
mirage13–9-0.0126%11 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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