RiJin

RiJin — CS2 Stats

GS76561197981315360[U:1:21049632]Steam profile ↗✓ No bans

2,086Tracked matches52%Win rate2021Tracked since
2,047Hours in CS6Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating14,872Blue band · top ~29.1% of ranked players (population est.)
FaceitLevel 5 · 953 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (14 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: 14,872 -2,072 11 Jun – 26 Sept · 15 days played
14,00118,196peak 18,19611 Jun26 Sept
19,039Peak Premier in tracked matches
953Highest Faceit ELO seen on CSDB
25Days played since 2026-06-11

Faceit ELO

  • At peak — 953
  • Next: Level 5 at 1,051 — 98 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 3,324 below peak (18,196)
  • -17 over 90 days
  • Next: Purple band at 15,000 — 128 to go
  • Reached: 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate51.6%43.7%44.8%above
Shot accuracy6.6%12.0%12.4%5.9% short
Kill/death ratio0.871.021.030.16 short
Match win rate50.9%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRiJinFACEITLevel 5 · 953 ELOSTANDINGTop 67.6% of rankedPREMIER14,872 · Blue bandPEAK ELO953csdb.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

Aim68
Positioning46
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLWLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +0.5pp headshot accuracy · +3ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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 (+2.4 against its own average).

Aim6.8
Utility6.4
Positioning4.6
Opening Duels1.6
Clutch3.6

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

Twistzz

Plays most like Twistzz 86% 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. 590ms 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

Aim6.8
Positioning4.6
Utility6.4
Mechanics5.5
Opening Duels1.8
Win Impact5.6

Composite 5.2/10 (Developing), 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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time586ms−82ms
first ⅓ avg 668ms → last ⅓ avg 586ms
Headshot accuracy17.5%+2.1%
first ⅓ avg 15.4% → last ⅓ avg 17.5%

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

0.14Best match rating · 13–10 · inferno, 6 Aug →
31%Best headshot accuracy · 14–16 · anubis, 24 Sept →
367msFastest reaction time · 2–13 · ancient, 19 Jun →
13–2Biggest win · ancient, 25 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 57% over 14nukeWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.00
dust2D248–1633%-0.02
nukeD165–1131%-0.01
ancientA148–657%-0.01
anubisA95–456%-0.01
cache—41–325%0.01
overpass—40–40%-0.03
mirage—32–167%-0.04
train—11–0100%0.04
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,197Lifetime kills
0.87K/D
2,828Matches
50.9%Match win rate · Top 10% of Level 5 players
51.6%Headshot % · Top 25% of Level 5 players
6.6%Shot accuracy
5,714MVPs
1,176Hours (in match)
2,862Bombs planted
847Bombs defused

Most-used weapons

AK-4713,903
AWP2,309
MAC-101,740
MP91,605
FAMAS1,123

Lifetime map wins

13,980nuke
3,819dust2
3,678inferno
1,013vertigo
313train
17office
1assault
1dust

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

Faceit stats

Combat

1,074Matches
49%Win rate
0.91Avg K/D
72.3ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust225451%0.9613.3
Inferno19352%0.9614.1
Anubis16441%0.8512.7
Ancient12649%0.9514.2
Mirage12339%0.8011.3
Nuke11456%0.9714.3
Vertigo5153%0.7812.2
Overpass2650%0.8613.6

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.

17.6%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.0%Spray accuracy
74.6%Counter-strafing
9.4°Preaim
590msReaction time
36.1%T opening success
38.2%CT opening success
0.65Enemies flashed / flash
5.4%Flash assists
9.75HE damage / grenade
14.63Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.0592% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.073%26 Sept →
inferno13–40.0127%26 Sept →
anubis7–13-0.0613%26 Sept →
anubis13–40.0423%26 Sept →
inferno6–9-0.0514%26 Sept →
mirage13–10-0.0715%26 Sept →
anubis13–10-0.0215%26 Sept →
nuke5–13-0.0528%24 Sept →
anubis14–160.0131%24 Sept →
ancient9–13-0.0316%24 Sept →
anubis13–80.0011%23 Sept →
ancient10–13-0.0423%23 Sept →
ancient13–8-0.0017%23 Sept →
inferno9–13-0.0025%23 Sept →
inferno9–130.0119%10 Sept →
dust213–5-0.0223%8 Sept →
nuke9–60.0612%6 Aug →
inferno5–9-0.0021%6 Aug →
inferno13–100.1420%6 Aug →
dust211–130.0112%6 Aug →
ancient13–90.0115%6 Aug →
dust27–13-0.0131%6 Aug →
ancient16–120.0418%3 Aug →
dust214–160.0116%3 Aug →
inferno13–40.0716%29 Jul →
ancient13–80.0318%29 Jul →
cache8–13-0.0120%29 Jul →
inferno9–13-0.038%29 Jul →
inferno15–15-0.0112%29 Jul →
dust213–100.0311%29 Jul →
inferno14–16-0.0318%19 Jul →
inferno13–60.0210%19 Jul →
dust213–7-0.0317%19 Jul →
nuke13–110.0214%13 Jul →
inferno13–80.0115%13 Jul →
anubis12–16-0.0012%13 Jul →
cache13–50.0318%13 Jul →
ancient3–13-0.0626%13 Jul →
dust27–130.0121%12 Jul →
dust213–3-0.0119%12 Jul →
train13–90.0424%8 Jul →
overpass12–120.0119%8 Jul →
inferno12–120.0119%8 Jul →
cache6–13-0.0221%8 Jul →
dust213–110.0214%7 Jul →
dust213–7-0.0611%5 Jul →
nuke7–13-0.099%5 Jul →
inferno7–13-0.0410%5 Jul →
overpass6–9-0.059%28 Jun →
vertigo9–50.0611%28 Jun →
inferno8–8-0.0713%28 Jun →
nuke9–1-0.0022%28 Jun →
inferno7–13-0.0411%27 Jun →
nuke11–130.0026%27 Jun →
nuke4–13-0.0123%25 Jun →
inferno13–110.0128%25 Jun →
dust25–13-0.0529%25 Jun →
ancient13–20.1011%25 Jun →
overpass13–16-0.0313%25 Jun →
dust26–13-0.0213%25 Jun →
inferno13–160.029%25 Jun →
ancient2–13-0.0319%19 Jun →
ancient7–13-0.0628%19 Jun →
anubis13–8-0.0712%18 Jun →
ancient13–50.0610%18 Jun →
inferno13–110.0511%18 Jun →
nuke11–130.0016%18 Jun →
anubis11–13-0.0424%17 Jun →
dust28–130.0013%17 Jun →
cache10–130.0417%15 Jun →
nuke15–15-0.0416%15 Jun →
dust27–13-0.0123%15 Jun →
dust215–15-0.0212%15 Jun →
dust217–19-0.0511%14 Jun →
mirage13–11-0.039%14 Jun →
nuke11–13-0.0512%14 Jun →
mirage8–13-0.0313%14 Jun →
dust25–13-0.0820%14 Jun →
nuke10–13-0.0215%13 Jun →
inferno8–13-0.0517%13 Jun →
inferno13–8-0.044%12 Jun →
inferno15–15-0.0317%12 Jun →
dust213–50.014%12 Jun →
nuke13–110.0413%12 Jun →
ancient13–110.0313%12 Jun →
dust213–8-0.0030%12 Jun →
dust212–16-0.0713%12 Jun →
anubis13–70.0412%12 Jun →
inferno10–13-0.0715%12 Jun →
inferno8–20.0615%12 Jun →
ancient13–7-0.0613%12 Jun →
dust27–13-0.0431%12 Jun →
nuke5–120.0130%11 Jun →
overpass8–13-0.0416%11 Jun →
nuke13–80.0010%11 Jun →
dust29–13-0.068%11 Jun →
ancient2–13-0.1011%11 Jun →
nuke13–16-0.0416%11 Jun →
dust210–13-0.0121%11 Jun →
dust29–13-0.0216%11 Jun →

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.