Riichi

Riichi — CS2 Stats

DK76561197983561210[U:1:23295482]Steam profile ↗✓ No bans

296Tracked matches47%Win rate2023Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating11,436Blue band · top ~47.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 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: 11,436 +3,527 21 Dec – 26 Oct · 37 days played
6,42814,726peak 14,72621 Dec26 Oct
14,726Peak Premier in tracked matches
47Days played since 2025-12-21

Premier CS Rating

  • 3,290 below peak (14,726)
  • -1,202 over 30 days · declining
  • Next: Purple band at 15,000 — 3,564 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGRiichiPREMIER11,436 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning62
Utility52

0–100 skill scores via Leetify.

Recent form

HOT44–56Last 10044%Win rateLWWWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −2.9pp headshot accuracy · +4ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 570ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 568ms

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 (+2.3 against its own average).

Aim4.6
Utility5.2
Positioning6.2
Opening Duels3.0
Clutch1.4

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

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 575ms 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

Aim4.6
Positioning6.2
Utility5.2
Mechanics4.8
Opening Duels3.0
Win Impact3.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time579ms−15ms
first ⅓ avg 595ms → last ⅓ avg 579ms
Headshot accuracy14.3%+2.6%
first ⅓ avg 11.7% → last ⅓ avg 14.3%

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

0.09Best match rating · 13–9 · nuke, 18 Sept →
23%Best headshot accuracy · 7–13 · anubis, 19 Oct →
383msFastest reaction time · 13–11 · ancient, 12 Sept →
13–1Biggest win · train, 21 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 56% over 9infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
nukeA2916–1355%0.01
ancientB178–947%-0.02
infernoD142–1214%-0.04
mirageD134–931%-0.02
anubisB115–645%-0.01
dust2A95–456%0.01
cache—42–250%-0.01
train—21–150%0.02
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
46%Win rate
1.04Avg K/D
89.3ADR
35%Headshot %

Clutches & streaks

27%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%1.2120.4
Dust2450%1.3917.0
Ancient333%0.9113.0
Nuke2100%1.2716.5
Inferno250%1.2819.5
Overpass1100%0.8319.0
Train10%0.8012.0
Cache10%1.0715.0

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.

14.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
29.0%Spray accuracy
71.4%Counter-strafing
10.6°Preaim
575msReaction time
40.0%T opening success
43.8%CT opening success
0.53Enemies flashed / flash
2.7%Flash assists
10.49HE damage / grenade
6.73Flashes / 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 14.5003% — below the 15% mark we flag

    Aim Training →
  2. 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 39.9525% — below the 40% mark we flag

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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0110%26 Oct →
nuke13–70.0520%26 Oct →
dust213–70.0320%25 Oct →
nuke13–60.0411%25 Oct →
dust213–70.004%25 Oct →
ancient13–70.0316%25 Oct →
dust28–130.0014%24 Oct →
nuke9–130.0213%24 Oct →
mirage13–8-0.0319%24 Oct →
nuke13–80.0311%24 Oct →
mirage5–13-0.0515%23 Oct →
mirage9–13-0.0218%23 Oct →
nuke13–110.0618%23 Oct →
ancient6–13-0.0013%23 Oct →
mirage3–13-0.0519%20 Oct →
ancient10–13-0.0215%19 Oct →
anubis7–13-0.0223%19 Oct →
dust25–13-0.048%19 Oct →
dust213–60.0321%16 Oct →
nuke13–8-0.0918%15 Oct →
cache13–40.0613%15 Oct →
inferno14–16-0.0110%14 Oct →
inferno13–80.0214%13 Oct →
nuke13–70.038%13 Oct →
nuke6–13-0.035%13 Oct →
ancient13–8-0.0422%13 Oct →
cache13–16-0.0513%13 Oct →
nuke9–130.0614%11 Oct →
ancient7–13-0.0219%29 Sept →
anubis13–16-0.0614%27 Sept →
nuke13–60.0510%27 Sept →
nuke11–13-0.0410%27 Sept →
ancient13–100.0116%23 Sept →
nuke0–13-0.018%23 Sept →
ancient13–9-0.033%23 Sept →
anubis9–13-0.067%22 Sept →
inferno8–13-0.0520%19 Sept →
cache13–110.036%19 Sept →
nuke11–13-0.0710%19 Sept →
nuke13–90.0910%18 Sept →
mirage13–100.018%18 Sept →
nuke4–13-0.0614%18 Sept →
nuke6–13-0.0512%17 Sept →
anubis13–11-0.0110%17 Sept →
ancient10–13-0.0218%17 Sept →
inferno5–13-0.0215%15 Sept →
anubis5–13-0.0115%15 Sept →
nuke13–90.0410%14 Sept →
inferno5–13-0.1013%14 Sept →
mirage13–50.0512%13 Sept →
anubis8–13-0.0710%13 Sept →
ancient13–11-0.0211%12 Sept →
inferno6–13-0.0414%12 Sept →
mirage14–16-0.067%12 Sept →
nuke13–90.0914%11 Sept →
nuke13–90.0115%11 Sept →
dust213–50.089%11 Sept →
nuke13–16-0.0213%10 Sept →
anubis16–13-0.0513%10 Sept →
mirage11–13-0.0312%9 Sept →
nuke14–16-0.0810%8 Sept →
inferno13–6-0.0214%8 Sept →
inferno6–13-0.0918%8 Sept →
mirage3–13-0.0917%7 Sept →
ancient9–130.016%7 Sept →
dust213–90.0218%6 Sept →
ancient10–13-0.0220%5 Sept →
dust210–13-0.0113%5 Sept →
nuke13–100.0218%5 Sept →
anubis13–100.036%2 Sept →
mirage11–130.0517%2 Sept →
ancient13–9-0.0511%30 Aug →
mirage12–16-0.0518%30 Aug →
anubis9–130.019%28 Aug →
ancient11–13-0.045%28 Aug →
inferno6–9-0.0310%27 Aug →
ancient13–11-0.067%26 Aug →
cache7–13-0.0811%26 Aug →
nuke13–20.0714%25 Aug →
inferno7–130.0210%25 Aug →
vertigo13–50.0616%25 Aug →
anubis16–130.0413%29 Jan →
inferno8–13-0.076%26 Jan →
nuke13–90.0214%26 Jan →
anubis13–40.0611%23 Jan →
nuke13–70.028%11 Jan →
nuke13–110.058%11 Jan →
inferno6–13-0.049%4 Jan →
ancient13–6-0.037%1 Jan →
inferno7–13-0.0412%1 Jan →
dust26–13-0.0116%31 Dec →
nuke7–13-0.0612%30 Dec →
nuke13–160.0319%30 Dec →
train11–13-0.009%28 Dec →
nuke9–13-0.0016%28 Dec →
mirage13–7-0.0215%26 Dec →
ancient5–13-0.0411%24 Dec →
ancient11–130.0118%21 Dec →
inferno8–13-0.0615%21 Dec →
train13–10.047%21 Dec →

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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