RikeR

RikeR — CS2 Stats

CH76561198143450206[U:1:183184478]Steam profile ↗✓ No bans

333Tracked matches54%Win rate2020Tracked since
7,919Hours in CS
CSDB Rating6.8 SolidSupport
Premier CS Rating26,551Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9830 of 261536 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 333 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,551 +9,153 2 Feb – 2 Nov · 29 days played
17,39827,866peak 27,8662 Feb2 Nov
27,874Peak Premier in tracked matches
45Days played since 2023-03-14

Premier CS Rating

  • 1,315 below peak (27,866)
  • Next: Gold band at 30,000 — 3,449 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-20
  • Pink band first seen 2026-09-20

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate57.9%49.3%50.9%above
Shot accuracy19.0%13.4%11.8%above
Kill/death ratio0.891.121.180.29 short
Match win rate46.4%48.5%51.9%5.4% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRikeRPREMIER26,551 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning46
Utility72

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateLLLWLLWLTW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +36ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 658ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 626ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 608ms

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 (+3 against its own average).

Aim8.0
Utility7.2
Positioning4.6
Opening Duels2.3
Clutch2.6

Strong CT-side opener

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim8.0
Positioning4.6
Utility7.2
Mechanics8.3
Opening Duels2.1
Win Impact6.2

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time589ms+21ms
first ⅓ avg 569ms → last ⅓ avg 589ms
Headshot accuracy21.3%−0.3%
first ⅓ avg 21.6% → last ⅓ avg 21.3%

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

0.15Best match rating · 13–9 · overpass, 31 Jan →
42%Best headshot accuracy · 13–0 · dust2, 11 May →
414msFastest reaction time · 4–16 · vertigo, 30 Jul →
13–0Biggest win · dust2, 11 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
3–9In matches decided by ≤2 rounds
21Overtime games

Map breakdown

overpassBest map · 67% over 12ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2716–1159%0.02
dust2A1911–858%0.01
mirageB179–853%-0.01
overpassS128–467%0.05
ancientC114–736%-0.00
nukeB84–450%0.02
cache—32–167%-0.02
vertigo—20–20%0.00
anubis—11–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

234,909Lifetime kills
0.89K/D
6,991Matches
46.4%Match win rate
57.9%Headshot % · Top 25% of Red band
19.0%Shot accuracy · Top 10% of Red band
21,949MVPs
7,919Hours (in match)
6,714Bombs planted
2,180Bombs defused

Most-used weapons

AK-47108,883
AWP16,004
P2504,818
FAMAS4,639
MP93,988
MAC-103,477

Lifetime map wins

16,270dust2
14,916inferno
2,404nuke
2,157train
1,623cbble
1,469vertigo
69dust
53aztec

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

Faceit stats

Combat

1,945Matches
52%Win rate
1.20Avg K/D
93.9ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke250%1.7226.0
Inferno250%0.6312.5
Dust22100%0.8412.5

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.

21.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.7%Spray accuracy
87.4%Counter-strafing
9.6°Preaim
595msReaction time
25.9%T opening success
47.0%CT opening success
0.67Enemies flashed / flash
11.8%Flash assists
12.74HE damage / grenade
17.56Flashes / 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 25.8694% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0522%13 May →
mirage8–13-0.0712%13 May →
dust211–130.0118%13 May →
dust213–80.0112%11 May →
ancient9–130.0325%11 May →
overpass7–130.0322%11 May →
dust213–00.0142%11 May →
inferno9–13-0.0519%11 May →
ancient15–15-0.0623%7 May →
inferno13–60.0018%7 May →
overpass13–40.0223%7 May →
mirage13–11-0.0124%7 May →
overpass13–90.0618%3 May →
mirage3–13-0.0226%3 May →
inferno13–20.0324%3 May →
dust213–11-0.0114%3 May →
inferno8–13-0.0015%3 May →
ancient13–50.0028%3 May →
cache12–12-0.0421%1 May →
cache13–3-0.0216%1 May →
cache13–4-0.0130%1 May →
overpass13–90.0724%30 Apr →
dust213–80.0424%29 Apr →
inferno10–130.0018%29 Apr →
dust211–130.0028%29 Apr →
dust28–13-0.0810%29 Apr →
dust213–20.0535%29 Apr →
inferno13–8-0.0419%20 Apr →
ancient11–13-0.0219%20 Apr →
nuke4–13-0.0120%20 Apr →
mirage13–90.0112%20 Apr →
dust213–40.0228%19 Apr →
inferno13–70.0515%19 Apr →
dust213–100.0427%19 Apr →
inferno6–130.1121%19 Apr →
dust23–13-0.0141%19 Apr →
ancient1–13-0.036%12 Apr →
ancient13–80.0226%12 Apr →
inferno13–100.0323%5 Apr →
mirage16–14-0.0317%5 Apr →
mirage13–6-0.0119%3 Apr →
dust28–13-0.0528%3 Apr →
inferno6–13-0.0024%3 Apr →
dust23–90.0125%3 Apr →
inferno15–15-0.0127%30 Mar →
mirage13–40.0221%27 Mar →
mirage13–3-0.0325%27 Mar →
mirage13–60.0525%27 Mar →
nuke13–50.0837%26 Mar →
mirage7–13-0.0427%26 Mar →
inferno5–130.0141%26 Mar →
inferno4–130.0210%25 Mar →
mirage13–30.0522%23 Mar →
overpass13–70.0227%23 Mar →
inferno13–70.0217%19 Mar →
nuke13–20.1228%17 Mar →
dust211–13-0.0537%16 Mar →
inferno6–13-0.0429%15 Mar →
inferno8–130.0019%15 Mar →
ancient13–10-0.0332%27 Feb →
inferno13–50.0827%27 Feb →
inferno10–130.0325%23 Feb →
ancient13–50.0214%23 Feb →
inferno13–40.0217%16 Feb →
overpass13–70.0529%16 Feb →
inferno13–50.0428%5 Feb →
ancient7–130.0326%5 Feb →
dust213–60.0917%5 Feb →
dust213–90.0217%5 Feb →
inferno13–9-0.0324%3 Feb →
ancient11–130.0418%2 Feb →
overpass13–90.1520%31 Jan →
dust213–30.1419%29 Jan →
dust28–13-0.0112%28 Jan →
mirage7–13-0.0216%28 Jan →
inferno13–10.0819%24 Jan →
mirage13–100.0421%17 Sept →
inferno13–50.1038%17 Sept →
inferno13–90.0135%16 Sept →
overpass13–30.1428%16 Sept →
nuke13–50.0625%15 Sept →
inferno16–100.0321%2 Sept →
ancient10–16-0.0215%30 Jul →
vertigo4–16-0.0330%30 Jul →
overpass16–19-0.0028%30 Jul →
vertigo6–160.0426%29 Jul →
anubis16–120.0026%28 Jul →
overpass14–16-0.0217%28 Jul →
nuke8–16-0.0122%27 Jul →
inferno16–120.0421%23 Mar →
overpass17–130.0531%21 Mar →
dust216–120.0228%19 Mar →
overpass17–19-0.0119%16 Mar →
mirage14–16-0.0121%16 Mar →
mirage0–12-0.1016%16 Mar →
mirage12–16-0.0121%16 Mar →
mirage14–16-0.0314%15 Mar →
nuke16–130.0215%15 Mar →
nuke9–16-0.0614%14 Mar →
inferno16–70.0921%14 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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