Rille

Rille — CS2 Stats

SE76561198845268716[U:1:885002988]Steam profile ↗✓ No bans

979Tracked matches63%Win rate2020Tracked since
2,671Hours in CS12Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating19,999Top 50% of 212,133 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85116 of 259013 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 19,999 +3,965 22 May – 27 Oct · 42 days played
15,90619,999peak 19,99922 May27 Oct
19,999Peak Premier in tracked matches
57Days played since 2025-05-22

Premier CS Rating

  • At peak — 19,999
  • +1,350 over 30 days · improving
  • Next: Pink band at 20,000 — 1 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.4%44.4%46.9%6.5% short
Shot accuracy12.1%11.9%13.0%0.9% short
Kill/death ratio1.071.031.08meets
Match win rate46.3%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGRillePREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning50
Utility63

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateWWWWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · +69ms 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

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 681ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 636ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 602ms

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 against its own average).

Aim4.9
Utility6.3
Positioning5.0
Opening Duels1.5

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 618ms 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

Aim4.9
Positioning5.0
Utility6.3
Mechanics6.3
Opening Duels4.0
Win Impact9.4

Composite 5.7/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time611ms−41ms
first ⅓ avg 653ms → last ⅓ avg 611ms
Headshot accuracy14.1%+1.2%
first ⅓ avg 12.8% → last ⅓ avg 14.1%

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

0.10Best match rating · 15–15 · nuke, 17 Apr →
30%Best headshot accuracy · 6–13 · nuke, 4 Oct →
484msFastest reaction time · 13–2 · ancient, 17 Oct →
13–2Biggest win · ancient, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W5Current streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 78% over 9cacheWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A1911–858%-0.02
mirageB168–850%0.00
anubisB158–753%-0.01
infernoA127–558%0.01
nukeS128–467%0.03
cacheB115–645%0.00
ancientS97–278%-0.01
overpassB63–350%0.01

Across the last 100 tracked matches.

Lifetime stats

63,995Lifetime kills
1.07K/D · Top 50% of Purple band
3,163Matches
46.3%Match win rate · Top 50% of Purple band
40.4%Headshot %
12.1%Shot accuracy · Top 50% of Purple band
8,269MVPs
1,443Hours (in match)
2,976Bombs planted
864Bombs defused

Most-used weapons

AK-4718,765
SG 5533,350
AWP2,511
P2502,304
FAMAS1,601
MP91,600

Lifetime map wins

6,691inferno
2,915dust2
2,067nuke
1,800train
1,753vertigo
458cbble
381office
84lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.9%Spray accuracy
78.2%Counter-strafing
11.0°Preaim
618msReaction time
51.9%T opening success
40.1%CT opening success
0.59Enemies flashed / flash
9.0%Flash assists
10.36HE damage / grenade
9.33Flashes / 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 13.6038% — below the 15% mark we flag

    Aim Training →
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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0410%27 Oct →
dust213–6-0.0011%27 Oct →
dust213–11-0.0314%27 Oct →
anubis13–10-0.0013%23 Oct →
dust216–14-0.0312%23 Oct →
dust26–13-0.0311%22 Oct →
cache9–130.0116%22 Oct →
mirage13–6-0.0127%21 Oct →
cache13–40.0224%20 Oct →
dust213–60.0816%19 Oct →
cache13–50.0816%18 Oct →
dust213–11-0.0410%18 Oct →
inferno13–70.0113%18 Oct →
ancient13–2-0.0411%17 Oct →
anubis10–13-0.0612%17 Oct →
anubis13–90.0114%17 Oct →
ancient13–9-0.0020%17 Oct →
mirage7–130.0210%17 Oct →
inferno6–13-0.0610%15 Oct →
anubis13–11-0.0114%14 Oct →
nuke13–8-0.007%14 Oct →
dust27–13-0.0116%13 Oct →
anubis10–13-0.0217%13 Oct →
anubis8–130.026%11 Oct →
ancient13–110.0115%10 Oct →
anubis12–16-0.0310%8 Oct →
cache3–12-0.0620%7 Oct →
mirage13–90.0212%7 Oct →
anubis13–6-0.0315%7 Oct →
cache11–13-0.0612%6 Oct →
dust215–15-0.0021%6 Oct →
dust215–150.0214%5 Oct →
mirage10–13-0.0415%5 Oct →
nuke6–13-0.0530%4 Oct →
dust216–13-0.0114%3 Oct →
cache5–130.0414%3 Oct →
inferno13–80.038%2 Oct →
mirage13–11-0.0518%1 Oct →
cache9–130.0317%14 Sept →
nuke13–30.0615%14 Sept →
dust29–13-0.0617%22 Aug →
inferno13–5-0.0418%22 Aug →
ancient10–13-0.017%9 Aug →
ancient13–10-0.069%3 Aug →
inferno13–80.0715%3 Aug →
nuke13–40.0923%3 Aug →
cache13–100.0218%2 Aug →
mirage11–130.0210%2 Aug →
inferno13–50.0612%2 Aug →
cache13–16-0.0211%18 Jul →
inferno10–130.0621%18 Jul →
cache13–30.0214%18 Jul →
dust29–13-0.0314%26 Jun →
anubis16–12-0.0214%26 Jun →
ancient13–60.0219%13 Jun →
anubis9–13-0.0313%26 May →
nuke11–13-0.0211%17 May →
overpass10–130.059%13 May →
mirage11–130.0415%5 May →
dust214–16-0.0113%1 May →
mirage1–13-0.0914%29 Apr →
mirage13–30.0427%29 Apr →
anubis7–130.0120%29 Apr →
nuke13–100.0612%28 Apr →
dust216–130.0213%20 Apr →
anubis13–70.0417%19 Apr →
ancient13–11-0.0512%18 Apr →
dust213–10-0.1013%18 Apr →
nuke15–150.1012%17 Apr →
nuke13–60.0515%17 Apr →
nuke13–11-0.0119%17 Apr →
overpass7–13-0.108%16 Apr →
anubis11–13-0.0118%16 Apr →
inferno8–1-0.055%14 Apr →
nuke11–130.0310%14 Apr →
mirage13–80.0916%14 Apr →
inferno15–150.0416%13 Apr →
mirage8–13-0.019%16 Feb →
inferno10–13-0.009%13 Feb →
overpass13–4-0.0111%13 Feb →
inferno13–100.0513%13 Feb →
mirage13–7-0.0015%12 Feb →
dust213–9-0.0214%11 Feb →
mirage15–15-0.0218%11 Feb →
ancient15–150.0210%10 Feb →
overpass13–80.0620%10 Feb →
dust213–4-0.009%10 Feb →
dust210–13-0.0421%9 Feb →
mirage13–90.007%9 Feb →
anubis13–40.0012%8 Feb →
inferno11–130.0116%8 Feb →
overpass13–7-0.036%8 Feb →
mirage13–70.0320%7 Feb →
overpass11–130.0910%7 Feb →
ancient13–9-0.027%1 Jun →
anubis13–60.0524%31 May →
mirage9–13-0.028%27 May →
nuke13–90.0310%26 May →
dust213–11-0.0210%25 May →
nuke16–14-0.0012%22 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 →

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