Riko

Riko — CS2 Stats

76561198027140553[U:1:66874825]Steam profile ↗✓ No bans

764Tracked matches45%Win rate2020Tracked since
1,181Hours in CS
CSDB Rating4.7 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
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. 32 days played since 28 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,066 +2,026 28 Jul24 May · 21 days played
5,50814,887peak 14,88728 Jul24 May
14,999Peak Premier in tracked matches
32Days played since 2025-07-28

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 3 among CSDB-tracked players (n=8,862), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.7%41.9%42.7%2.0% short
Shot accuracy12.6%12.2%11.2%above
Kill/death ratio0.930.981.000.06 short
Match win rate41.7%43.3%43.9%2.3% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGRikoFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning47
Utility51

0–100 skill scores via Leetify.

Recent form

COLD48484Last 10048%Win rateLLLLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −5.3pp headshot accuracy · −16ms 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

  • 05 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 647ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 654ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 662ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.5
Utility5.1
Positioning4.7
Opening Duels2.4
Clutch2.2

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 83% 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. 656ms 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

Aim5.5
Positioning4.7
Utility5.1
Mechanics5.8
Opening Duels1.4
Win Impact3.3

Composite 4.7/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time657ms−14ms
first ⅓ avg 671ms → last ⅓ avg 657ms
Headshot accuracy18.6%−5.1%
first ⅓ avg 23.7% → last ⅓ avg 18.6%

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 · 13–4 · anubis, 17 Apr
64%Best headshot accuracy · 2–13 · overpass, 9 Jan
492msFastest reaction time · 14–16 · inferno, 23 May
13–0Biggest win · nuke, 14 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
L8Current streak
63In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 67% over 9nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%-0.02
mirageB21101148%-0.01
infernoA2012860%-0.00
ancientS96367%0.01
anubisC94544%-0.02
nukeD82625%-0.02
cache31233%0.02
overpass3030%-0.03
vertigo220100%0.01
train2020%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,258Lifetime kills
0.93K/D
2,689Matches
41.7%Match win rate
40.7%Headshot %
12.6%Shot accuracy · Top 50% of Level 3 players
6,049MVPs
1,181Hours (in match)
5,010Bombs planted
564Bombs defused

Most-used weapons

AK-4713,607
AWP6,126
P902,262
Negev1,194
MAC-101,115
UMP-451,115

Lifetime map wins

6,139inferno
5,233dust2
833nuke
762vertigo
543cbble
433train
269office
46assault

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

Faceit stats

Combat

133Matches
50%Win rate
0.92Avg K/D
81.8ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2967%1.0615.7
Mirage875%1.2419.3
Inferno757%1.1817.1
Anubis560%1.4217.2
Ancient425%0.8515.3
Nuke333%1.1416.0

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.

17.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.1%Spray accuracy
76.2%Counter-strafing
9.6°Preaim
656msReaction time
26.7%T opening success
41.1%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
8.85HE damage / grenade
12.27Flashes / 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 26.6922% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–130.0235%30 Aug
inferno8–13-0.0629%8 Aug
cache10–13-0.0123%8 Aug
mirage6–13-0.1015%8 Aug
mirage8–13-0.1013%31 Jul
ancient11–13-0.0321%24 May
inferno14–160.0211%23 May
nuke8–13-0.035%23 May
dust213–9-0.086%23 May
inferno16–130.0314%20 May
mirage16–13-0.0117%20 May
dust23–13-0.0542%20 May
anubis3–13-0.0825%8 May
vertigo13–4-0.0222%8 May
cache10–130.0122%8 May
inferno11–13-0.0227%8 May
cache13–70.0523%8 May
mirage8–13-0.0613%8 May
dust28–13-0.0518%8 May
dust28–13-0.0515%7 May
inferno13–6-0.0814%7 May
ancient15–150.0520%3 May
dust213–9-0.0213%26 Apr
mirage13–40.0112%25 Apr
anubis13–11-0.0524%25 Apr
dust213–4-0.0613%24 Apr
anubis9–13-0.0812%24 Apr
inferno13–8-0.0217%21 Apr
anubis13–80.039%21 Apr
dust213–9-0.0114%18 Apr
anubis13–7-0.0521%17 Apr
anubis13–40.0929%17 Apr
dust213–80.0322%17 Apr
dust25–13-0.0521%16 Apr
ancient13–2-0.0224%16 Apr
mirage2–130.0213%16 Apr
vertigo13–30.059%11 Apr
dust213–110.0112%11 Apr
inferno13–70.0720%11 Apr
anubis4–13-0.0615%11 Apr
nuke13–8-0.0235%11 Apr
nuke7–13-0.029%10 Apr
mirage13–8-0.0312%10 Apr
inferno15–15-0.0410%10 Apr
anubis7–130.0022%9 Apr
dust213–70.0118%9 Apr
inferno16–12-0.0213%9 Apr
dust213–8-0.0034%9 Apr
mirage13–50.0325%27 Mar
inferno13–50.0229%27 Mar
nuke8–13-0.0221%27 Mar
ancient13–110.0126%27 Mar
anubis15–150.0223%14 Mar
dust213–11-0.0244%14 Mar
nuke13–00.0324%14 Mar
dust28–13-0.0237%9 Mar
inferno13–30.0533%9 Mar
dust21–13-0.0846%8 Mar
ancient13–40.0835%27 Feb
inferno8–130.0032%27 Feb
ancient13–70.0328%27 Feb
mirage13–00.0726%27 Feb
dust213–60.0221%27 Feb
inferno13–8-0.0621%16 Jan
inferno5–130.0218%16 Jan
dust213–10-0.0019%10 Jan
inferno13–90.0029%10 Jan
dust26–13-0.0128%10 Jan
inferno13–11-0.0020%10 Jan
nuke9–13-0.0833%10 Jan
mirage9–130.0221%10 Jan
overpass2–13-0.0364%9 Jan
nuke8–13-0.0045%9 Jan
mirage8–13-0.0837%9 Jan
mirage13–20.0642%9 Jan
dust20–13-0.0825%9 Jan
mirage0–13-0.040%9 Jan
train13–160.0417%9 Jan
inferno5–13-0.0419%9 Jan
ancient13–9-0.0026%9 Jan
overpass15–15-0.0419%9 Jan
inferno8–130.0419%3 Aug
mirage13–70.0021%3 Aug
mirage5–13-0.0320%3 Aug
inferno13–11-0.037%3 Aug
overpass5–13-0.0228%3 Aug
mirage7–130.0225%1 Aug
mirage6–130.0628%1 Aug
nuke6–130.0030%1 Aug
ancient9–130.0426%1 Aug
inferno13–70.0013%1 Aug
dust25–13-0.0016%30 Jul
mirage10–13-0.0225%30 Jul
dust29–13-0.0120%30 Jul
mirage13–7-0.0126%30 Jul
train8–13-0.0316%30 Jul
ancient13–10-0.039%29 Jul
mirage13–10-0.0117%29 Jul
dust29–13-0.0424%29 Jul
mirage13–90.0518%28 Jul

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 →