rinq

rinq — CS2 Stats

76561198083487972[U:1:123222244]Steam profile ↗✓ No bans

1,600Tracked matches60%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating23,238Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#41072 of 259987 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 23,238 +3,128 22 Mar – 4 Nov · 26 days played
19,73523,796peak 23,79622 Mar4 Nov
24,062Peak Premier in tracked matches
51Days played since 2026-03-19

Premier CS Rating

  • 558 below peak (23,796)
  • -401 over 30 days · declining
  • Next: Red band at 25,000 — 1,762 to go
  • Reached: Pink band · Purple band · Blue band · 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.GGrinqFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER23,238 · 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

Aim65
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLWWLWLLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −1.6pp headshot accuracy · +12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

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).

Aim6.5
Utility5.6
Positioning6.4
Opening Duels2.5
Clutch1.0

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

iM

Plays most like iM 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

CT openings. Opening success drops from 56% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 577ms 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

Aim6.5
Positioning6.4
Utility5.6
Mechanics5.8
Opening Duels4.3
Win Impact8.3

Composite 6.3/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time576ms−81ms
first ⅓ avg 657ms → last ⅓ avg 576ms
Headshot accuracy17.4%+0.7%
first ⅓ avg 16.6% → last ⅓ avg 17.4%

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 · 9–3 · inferno, 6 Jul →
50%Best headshot accuracy · 0–4 · dust2, 25 Oct →
391msFastest reaction time · 13–11 · cache, 17 May →
13–0Biggest win · cache, 23 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 63% over 19dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%0.00
cacheA1912–763%-0.02
ancientA169–756%-0.01
dust2D122–1017%-0.01
mirageC94–544%-0.00
nukeD62–433%-0.02
overpassB63–350%-0.03
anubis—32–167%0.03
vertigo—32–167%-0.02
train—11–0100%0.00
office—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

374Matches
49%Win rate
0.95Avg K/D
67.5ADR
37%Headshot %

Clutches & streaks

25%1v1 clutch win
13%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1155%0.8611.8
Ancient967%0.8011.6
Cache850%0.9614.5
Nuke540%0.628.4
Anubis560%0.9112.0
Mirage425%0.7910.0
Dust22100%1.1611.0
Overpass10%0.8630.0

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.

15.8%Headshot accuracy
32.9%Accuracy (enemy spotted)
34.9%Spray accuracy
76.2%Counter-strafing
8.6°Preaim
577msReaction time
56.4%T opening success
38.0%CT opening success
0.54Enemies flashed / flash
11.0%Flash assists
11.24HE damage / grenade
5.84Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.9713% — 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.

17% win rate across 12 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
inferno6–13-0.0421%4 Nov →
train13–110.0018%4 Nov →
dust27–13-0.0123%4 Nov →
inferno13–2-0.0416%2 Nov →
office13–10-0.0616%2 Nov →
dust22–13-0.048%2 Nov →
mirage13–9-0.0024%30 Oct →
nuke14–16-0.0112%27 Oct →
inferno9–13-0.0518%26 Oct →
cache6–13-0.0813%26 Oct →
dust22–13-0.0225%26 Oct →
ancient7–130.0515%25 Oct →
cache13–6-0.0518%25 Oct →
inferno13–100.0119%25 Oct →
dust20–4-0.0250%25 Oct →
cache13–70.0410%23 Oct →
ancient13–10-0.016%23 Oct →
ancient13–7-0.016%22 Oct →
mirage13–60.0916%21 Oct →
ancient13–60.0219%21 Oct →
mirage14–160.045%12 Oct →
dust21–13-0.0911%11 Oct →
ancient13–30.0318%7 Oct →
cache16–120.0320%6 Oct →
ancient13–90.0220%6 Oct →
anubis16–120.0917%1 Oct →
inferno13–9-0.0322%1 Oct →
cache13–9-0.018%27 Sept →
vertigo7–13-0.0613%26 Sept →
cache13–110.0219%26 Sept →
mirage10–130.0124%23 Sept →
ancient11–13-0.0523%23 Sept →
cache13–40.0120%23 Sept →
cache10–13-0.0128%22 Sept →
inferno14–160.0022%22 Sept →
ancient13–30.0429%22 Sept →
cache13–16-0.0111%22 Sept →
nuke13–7-0.0617%21 Sept →
mirage11–13-0.0711%15 Sept →
inferno10–130.015%15 Sept →
dust26–13-0.076%15 Sept →
inferno13–5-0.047%15 Sept →
ancient11–13-0.0411%15 Sept →
anubis12–160.0021%15 Sept →
mirage3–13-0.089%15 Sept →
ancient13–70.0116%15 Sept →
inferno13–100.0021%15 Sept →
cache16–14-0.0024%12 Sept →
dust213–160.0722%12 Sept →
ancient13–16-0.0416%3 Sept →
mirage13–10-0.035%18 Aug →
inferno3–13-0.0122%17 Aug →
cache3–13-0.049%4 Aug →
cache9–13-0.0219%4 Aug →
inferno12–160.0521%4 Aug →
nuke13–10.0726%3 Aug →
inferno8–30.049%1 Aug →
inferno9–13-0.0515%1 Aug →
anubis13–11-0.0130%31 Jul →
dust25–13-0.0716%30 Jul →
cache13–11-0.079%30 Jul →
inferno9–13-0.0213%29 Jul →
ancient1–9-0.096%28 Jul →
cache13–10-0.0314%24 Jul →
ancient16–14-0.0212%24 Jul →
inferno13–60.0421%24 Jul →
inferno9–30.1424%6 Jul →
dust23–13-0.0145%6 Jul →
vertigo13–40.0523%28 Jun →
overpass13–110.0211%25 Jun →
overpass10–13-0.048%24 Jun →
inferno13–110.0419%21 Jun →
nuke2–9-0.134%14 Jun →
vertigo9–5-0.0417%7 Jun →
overpass10–13-0.047%6 Jun →
cache9–13-0.0320%6 Jun →
cache13–0-0.0014%23 May →
overpass13–1-0.0517%21 May →
cache13–110.0225%17 May →
inferno7–13-0.0310%17 May →
cache12–12-0.0313%9 May →
cache13–8-0.018%9 May →
inferno13–110.047%27 Apr →
ancient2–13-0.0813%27 Apr →
inferno16–13-0.0315%27 Mar →
nuke15–15-0.0218%27 Mar →
mirage14–16-0.0213%27 Mar →
overpass15–150.0015%26 Mar →
ancient13–70.0218%26 Mar →
inferno11–13-0.0125%26 Mar →
dust213–70.0524%25 Mar →
inferno13–90.0722%25 Mar →
inferno9–130.0517%23 Mar →
dust213–5-0.0033%23 Mar →
overpass13–10-0.056%23 Mar →
ancient10–13-0.068%22 Mar →
inferno5–13-0.0422%22 Mar →
mirage13–60.0517%22 Mar →
nuke7–130.027%22 Mar →
dust26–130.0926%19 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.