星野りん

星野りん — CS2 Stats

76561198197709518[U:1:237443790]Steam profile ↗✓ No bans

638Tracked matches59%Win rate2022Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating15,233Purple band · top ~27.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 638 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 23 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,233 -479 23 May13 Sept · 31 days played
12,56515,836peak 15,83623 May13 Sept
15,836Peak Premier in tracked matches
34Days played since 2026-05-23

Premier CS Rating

  • 603 below peak (15,836)
  • -117 over 30 days · steady
  • -143 over 90 days
  • Next: Pink band at 20,000 4,767 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG星野りんFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,233 · Purple bandcsdb.gg/stats

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Performance scores

Aim39
Positioning44
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51427Last 10051%Win rateWLLWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +7ms reaction

Win rate up 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

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 603ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 640ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim3.9
Utility4.3
Positioning4.4
Opening Duels2.3
Clutch1.0

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

iM

Plays most like iM 75% 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

T-side openings. Opening success drops from 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms 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

Aim3.9
Positioning4.4
Utility4.3
Mechanics5.4
Opening Duels2.3
Win Impact7.9

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time684ms+30ms
first ⅓ avg 654ms → last ⅓ avg 684ms
Headshot accuracy13.2%+0.7%
first ⅓ avg 12.4% → last ⅓ avg 13.2%

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

0.09Best match rating · 13–3 · dust2, 11 Jul
33%Best headshot accuracy · 2–2 · nuke, 12 Jun
469msFastest reaction time · 4–13 · anubis, 5 Jun
13–0Biggest win · inferno, 26 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
69In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 64% over 14cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B44212348%-0.01
ancientA1811761%-0.03
infernoA149564%-0.02
anubisB137654%-0.02
cacheD72529%-0.03
mirage2020%-0.07
nuke21150%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

5Matches
40%Win rate
0.88Avg K/D
62.6ADR
41%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke2100%0.7210.0
Dust210%1.4619.0
Inferno10%1.0523.0

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.

12.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.9%Spray accuracy
74.2%Counter-strafing
11.4°Preaim
679msReaction time
25.6%T opening success
48.1%CT opening success
0.63Enemies flashed / flash
5.6%Flash assists
7.50HE damage / grenade
3.68Flashes / 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. 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 12.7072% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 3.678 — below the 4 mark we flag

    Grenade Lineups
  3. 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 25.6066% — below the 40% mark we flag

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
anubis13–8-0.0113%5 Sept
dust29–13-0.0310%5 Sept
dust28–130.0010%22 Aug
dust213–50.0412%21 Aug
dust213–20.0226%21 Aug
mirage4–13-0.0818%21 Aug
dust213–30.0416%16 Aug
dust28–13-0.0113%16 Aug
dust213–10-0.059%16 Aug
anubis16–14-0.056%31 Jul
cache13–6-0.0318%29 Jul
ancient15–15-0.0626%29 Jul
ancient4–13-0.107%29 Jul
dust25–13-0.0111%29 Jul
anubis3–13-0.040%29 Jul
ancient8–13-0.085%26 Jul
inferno13–10-0.0210%24 Jul
dust213–30.0714%24 Jul
ancient13–70.0217%24 Jul
dust211–13-0.0411%24 Jul
dust213–40.0511%22 Jul
dust212–16-0.0210%22 Jul
anubis13–4-0.0612%22 Jul
ancient13–5-0.058%22 Jul
dust213–100.0513%22 Jul
anubis13–11-0.0310%19 Jul
ancient13–11-0.0515%18 Jul
inferno5–13-0.0819%18 Jul
anubis10–13-0.045%18 Jul
dust213–5-0.0931%18 Jul
dust25–13-0.066%18 Jul
ancient13–7-0.0518%17 Jul
dust213–80.0124%17 Jul
ancient15–15-0.0517%17 Jul
inferno13–8-0.058%16 Jul
dust211–13-0.075%16 Jul
dust28–130.0324%16 Jul
cache15–150.0416%16 Jul
ancient13–3-0.046%13 Jul
cache2–13-0.126%13 Jul
dust213–60.0517%13 Jul
dust213–80.0413%12 Jul
dust211–13-0.0022%12 Jul
cache11–13-0.029%12 Jul
cache11–13-0.028%12 Jul
dust28–13-0.038%12 Jul
ancient13–30.057%12 Jul
ancient4–13-0.0414%12 Jul
dust213–30.0919%11 Jul
anubis7–13-0.0610%11 Jul
inferno13–9-0.0510%11 Jul
ancient16–140.058%11 Jul
ancient13–60.0117%10 Jul
cache10–13-0.0714%10 Jul
dust213–50.0018%10 Jul
cache13–40.034%9 Jul
dust210–13-0.0217%9 Jul
dust24–13-0.046%9 Jul
anubis16–13-0.0012%5 Jul
dust24–11-0.053%5 Jul
inferno10–13-0.0312%5 Jul
dust215–15-0.0312%26 Jun
dust213–110.0015%26 Jun
dust213–4-0.007%26 Jun
inferno13–0-0.0512%26 Jun
ancient10–13-0.0811%25 Jun
dust213–3-0.059%25 Jun
dust27–13-0.0219%25 Jun
anubis13–20.0812%24 Jun
mirage3–13-0.078%24 Jun
inferno13–9-0.0313%24 Jun
dust213–80.0513%24 Jun
anubis8–13-0.0414%20 Jun
dust213–16-0.046%20 Jun
nuke15–15-0.066%20 Jun
anubis15–15-0.068%20 Jun
dust213–10-0.0711%17 Jun
inferno6–130.016%17 Jun
dust213–10-0.0111%17 Jun
inferno10–13-0.017%12 Jun
dust214–16-0.069%12 Jun
nuke2–2-0.0933%12 Jun
inferno13–7-0.0014%10 Jun
ancient13–4-0.045%7 Jun
dust26–13-0.0312%7 Jun
dust211–13-0.054%7 Jun
ancient13–60.0814%6 Jun
dust216–12-0.0212%5 Jun
inferno13–60.0913%5 Jun
anubis4–130.0015%5 Jun
inferno11–13-0.0414%5 Jun
dust213–6-0.0618%1 Jun
ancient15–15-0.0510%29 May
inferno13–40.0725%29 May
dust27–13-0.0714%27 May
ancient13–8-0.0425%27 May
dust211–13-0.0914%27 May
anubis13–9-0.008%26 May
dust29–13-0.0716%26 May
inferno13–8-0.033%23 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →