Rike85

Rike85 — CS2 Stats

CO76561199032002204[U:1:1071736476]Steam profile ↗✓ No bans

961Tracked matches53%Win rate2020Tracked since
4,088Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating15,270Purple band · top ~27.3% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 961 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,270 +1,746 20 Dec – 3 Nov · 11 days played
13,07415,487peak 15,48720 Dec3 Nov
15,487Peak Premier in tracked matches
1,664Highest Faceit ELO seen on CSDB
69Days played since 2025-11-26

Faceit ELO

  • At peak — 1,664
  • Next: Level 9 at 1,751 — 87 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-11-03
  • Level 7 first seen 2026-11-03

Premier CS Rating

  • 217 below peak (15,487)
  • Next: Pink band at 20,000 — 4,730 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-03
  • Blue band first seen 2026-11-03

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.

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 rate42.7%44.4%46.9%4.2% short
Shot accuracy9.4%11.9%13.0%3.6% short
Kill/death ratio0.991.031.080.09 short
Match win rate46.8%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGRike85PREMIER15,270 · Purple bandPEAK ELO1,664csdb.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

Aim66
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLLLLLLWWL

Last 10 vs previous 10: −60pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · −10ms reaction

Win rate down 60pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 593ms

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 (+1 against its own average).

Aim6.6
Utility5.2
Positioning5.5
Opening Duels4.2
Clutch3.0

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

m0NESY

Plays most like m0NESY 90% 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. 572ms 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

Aim6.6
Positioning5.5
Utility5.2
Mechanics5.7
Opening Duels4.1
Win Impact6.1

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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time586ms−17ms
first ⅓ avg 603ms → last ⅓ avg 586ms
Headshot accuracy19.3%+1.8%
first ⅓ avg 17.5% → last ⅓ avg 19.3%

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

0.13Best match rating · 13–4 · ancient, 18 Dec →
52%Best headshot accuracy · 7–13 · inferno, 11 Mar →
375msFastest reaction time · 8–8 · vertigo, 11 Jan →
13–1Biggest win · nuke, 23 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L7Current streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 83% over 6infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientA2212–1055%0.01
nukeS2216–673%-0.00
overpassC135–838%0.00
anubisA116–555%0.01
vertigoD103–730%-0.01
mirageD82–625%0.03
infernoD61–517%-0.00
dust2S65–183%0.04
poseidon—11–0100%0.10
cache_b—10–10%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

60,734Lifetime kills
0.99K/D
3,141Matches
46.8%Match win rate · Top 50% of Purple band
42.7%Headshot %
9.4%Shot accuracy
8,653MVPs
4,088Hours (in match)
4,093Bombs planted
1,148Bombs defused

Most-used weapons

AK-4723,173
AWP4,456
FAMAS1,830
MP91,603
Knife1,355

Lifetime map wins

5,871nuke
3,875vertigo
3,331inferno
1,770dust2
1,311train
347cbble
226lake
20office

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

Faceit stats

Combat

1,300Matches
49%Win rate
1.12Avg K/D
79.8ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient35455%1.1917.6
Nuke20153%1.1016.1
Anubis17746%1.0916.4
Mirage12038%0.9914.6
Overpass10540%1.0816.6
Vertigo7659%1.0316.2
Inferno4137%0.9314.4
Dust22241%0.9514.6

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.

18.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.4%Spray accuracy
75.4%Counter-strafing
9.2°Preaim
572msReaction time
43.8%T opening success
48.6%CT opening success
0.50Enemies flashed / flash
4.3%Flash assists
5.07HE damage / grenade
12.01Flashes / match

Recommended for you

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.064%14 Oct →
vertigo3–13-0.0322%14 Oct →
ancient10–13-0.0220%22 Aug →
nuke9–130.0138%21 Aug →
dust23–13-0.0316%3 May →
anubis4–13-0.0121%22 Apr →
overpass7–13-0.0122%21 Apr →
overpass13–9-0.009%17 Apr →
dust213–50.1026%13 Apr →
ancient11–13-0.0413%12 Apr →
nuke13–10-0.0326%6 Apr →
vertigo9–70.0437%6 Apr →
overpass13–3-0.037%5 Apr →
ancient9–130.009%5 Apr →
anubis13–50.0420%3 Apr →
poseidon9–30.1035%2 Apr →
inferno13–80.0118%31 Mar →
anubis13–80.0420%31 Mar →
nuke16–14-0.0122%29 Mar →
vertigo3–9-0.126%28 Mar →
dust213–40.0532%28 Mar →
ancient13–10-0.0225%24 Mar →
nuke13–80.0422%24 Mar →
ancient13–70.0620%24 Mar →
nuke13–8-0.0018%24 Mar →
anubis13–80.0217%23 Mar →
overpass13–80.0517%22 Mar →
nuke13–9-0.0213%21 Mar →
mirage6–130.0418%20 Mar →
mirage11–13-0.0320%19 Mar →
overpass11–130.0717%14 Mar →
ancient9–13-0.0111%11 Mar →
ancient9–13-0.0415%11 Mar →
inferno7–130.0052%11 Mar →
ancient2–13-0.0321%9 Mar →
cache_b5–13-0.0632%8 Mar →
ancient13–110.0822%5 Mar →
anubis10–130.0219%4 Mar →
ancient13–10-0.0415%4 Mar →
mirage13–50.0520%3 Mar →
anubis5–13-0.0330%28 Feb →
mirage6–90.0322%26 Feb →
nuke13–100.0314%15 Feb →
anubis13–6-0.0624%15 Feb →
overpass14–16-0.0020%14 Feb →
nuke16–130.0815%11 Feb →
overpass14–16-0.0236%4 Feb →
nuke13–110.0218%3 Feb →
ancient16–140.0316%30 Jan →
overpass7–130.0422%29 Jan →
anubis13–80.008%25 Jan →
nuke13–10.0217%23 Jan →
mirage11–130.1022%23 Jan →
ancient9–130.0028%23 Jan →
anubis5–130.1016%22 Jan →
mirage16–120.0415%20 Jan →
ancient11–130.0016%20 Jan →
vertigo6–13-0.0523%20 Jan →
anubis4–13-0.0325%18 Jan →
dust213–90.0025%12 Jan →
dust213–40.0829%12 Jan →
vertigo2–9-0.1324%11 Jan →
vertigo8–8-0.0833%11 Jan →
ancient13–11-0.0116%10 Jan →
ancient19–15-0.0220%9 Jan →
vertigo9–50.0923%9 Jan →
vertigo9–30.0610%9 Jan →
nuke3–9-0.135%6 Jan →
nuke13–11-0.0223%3 Jan →
nuke13–60.0217%3 Jan →
ancient8–13-0.058%3 Jan →
overpass12–16-0.0113%2 Jan →
nuke13–110.0619%1 Jan →
nuke4–13-0.0422%28 Dec →
nuke13–90.0119%25 Dec →
inferno5–13-0.0325%24 Dec →
nuke13–7-0.0019%23 Dec →
overpass13–11-0.0212%22 Dec →
nuke13–60.0618%21 Dec →
mirage8–130.0020%21 Dec →
anubis13–50.0724%21 Dec →
vertigo7–130.0331%20 Dec →
ancient13–100.0425%20 Dec →
nuke3–9-0.0515%20 Dec →
overpass13–20.0242%20 Dec →
ancient13–40.1324%18 Dec →
ancient7–130.0211%17 Dec →
dust213–110.0219%16 Dec →
nuke15–190.0114%16 Dec →
mirage7–13-0.038%16 Dec →
ancient13–60.0819%14 Dec →
inferno9–130.0314%14 Dec →
nuke6–13-0.0511%10 Dec →
nuke13–7-0.045%7 Dec →
ancient16–13-0.0111%7 Dec →
overpass10–13-0.0419%6 Dec →
overpass9–13-0.0214%1 Dec →
vertigo7–90.0521%30 Nov →
ancient13–100.1117%29 Nov →
inferno10–130.0113%26 Nov →

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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