RMS-JP

RMS-JP — CS2 Stats

NL76561198061486968[U:1:101221240]Steam profile ↗✓ No bans

1,757Tracked matches57%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating19,999Top 50% of 212,695 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85176 of 259519 tracked
FaceitLevel 9 · 1,251 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (51 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 -1,247 23 Apr – 12 Sept · 17 days played
18,67322,719peak 22,71923 Apr12 Sept
22,878Peak Premier in tracked matches
1,251Highest Faceit ELO seen on CSDB
58Days played since 2026-04-23

Faceit ELO

  • At peak — 1,251
  • Next: Level 7 at 1,351 — 100 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,720 below peak (22,719)
  • +1,326 over 30 days · improving
  • -2 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGRMS-JPFACEITLevel 9 · 1,251 ELOSTANDINGTop 20.7% of rankedPREMIER19,999 · Purple bandPEAK ELO1,251csdb.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

Aim54
Positioning39
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWLTWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · −84ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 552ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 563ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

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 (+0.8 against its own average).

Aim5.4
Utility3.9
Positioning3.9
Opening Duels1.1
Clutch3.4

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

NiKo

Plays most like NiKo 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. 628ms 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

Aim5.4
Positioning3.9
Utility3.9
Mechanics6.1
Opening Duels0.9
Win Impact7.4

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 -0.03 → last ⅓ avg -0.02
Reaction time633ms−7ms
first ⅓ avg 640ms → last ⅓ avg 633ms
Headshot accuracy22.1%+2.2%
first ⅓ avg 19.9% → last ⅓ avg 22.1%

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

0.09Best match rating · 13–10 · mirage, 26 Jul →
44%Best headshot accuracy · 5–13 · mirage, 20 Jul →
414msFastest reaction time · 7–13 · dust2, 15 Aug →
13–0Biggest win · inferno, 12 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%-0.02
nukeB2111–1052%-0.02
mirageA169–756%-0.01
anubisB147–750%-0.03
ancientA85–363%-0.02
cacheC73–443%-0.03
dust2—41–325%-0.05
overpass—41–325%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,729Matches
50%Win rate
0.89Avg K/D
73.8ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno27148%0.9415.2
Mirage20949%0.8614.0
Anubis20247%0.8814.4
Ancient15154%0.8914.8
Nuke11159%1.0016.1
Dust25553%0.7713.6
Cache2857%0.9914.5
Train2756%1.0414.1

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.

21.9%Headshot accuracy
30.0%Accuracy (enemy spotted)
34.5%Spray accuracy
77.6%Counter-strafing
11.9°Preaim
628msReaction time
34.9%T opening success
32.2%CT opening success
0.40Enemies flashed / flash
8.1%Flash assists
6.14HE damage / grenade
5.33Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.396 — below the 0.5 mark we flag

    Grenade Lineups →
  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 34.888% — 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.

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–0-0.0622%12 Sept →
nuke13–6-0.0123%11 Sept →
anubis5–13-0.0422%23 Aug →
cache15–15-0.0726%15 Aug →
nuke16–140.0129%15 Aug →
dust27–13-0.0120%15 Aug →
anubis7–13-0.0711%13 Aug →
anubis8–13-0.1013%12 Aug →
anubis13–11-0.0230%12 Aug →
nuke4–13-0.0725%10 Aug →
mirage5–130.0214%10 Aug →
anubis9–13-0.0624%9 Aug →
inferno12–12-0.0419%7 Aug →
ancient13–7-0.0525%7 Aug →
nuke9–13-0.0314%5 Aug →
anubis19–17-0.0320%5 Aug →
mirage14–16-0.0414%3 Aug →
mirage13–8-0.0113%3 Aug →
inferno5–13-0.0324%2 Aug →
anubis13–11-0.0028%2 Aug →
ancient13–16-0.0225%2 Aug →
inferno13–110.0119%31 Jul →
nuke13–70.0525%30 Jul →
cache13–6-0.0221%27 Jul →
mirage13–100.0922%26 Jul →
inferno11–13-0.0425%25 Jul →
inferno16–130.0027%25 Jul →
nuke13–100.0330%24 Jul →
anubis13–90.0020%24 Jul →
ancient13–11-0.0120%24 Jul →
inferno16–130.0215%22 Jul →
nuke7–130.0520%21 Jul →
mirage5–13-0.1044%20 Jul →
anubis8–13-0.0315%20 Jul →
inferno1–13-0.0315%20 Jul →
nuke10–13-0.0417%19 Jul →
inferno13–10-0.0020%19 Jul →
inferno13–20.0919%19 Jul →
inferno6–13-0.0522%19 Jul →
nuke13–6-0.0014%16 Jul →
mirage19–160.0325%15 Jul →
anubis13–11-0.0614%14 Jul →
mirage13–3-0.0335%12 Jul →
cache13–10-0.0840%10 Jul →
mirage11–13-0.0210%9 Jul →
nuke11–13-0.0318%8 Jul →
mirage5–130.0217%29 Jun →
anubis13–80.0417%25 Jun →
inferno13–5-0.0121%24 Jun →
mirage22–25-0.068%22 Jun →
ancient6–13-0.0220%21 Jun →
nuke13–60.0427%19 Jun →
inferno6–13-0.0716%17 Jun →
ancient13–50.0925%17 Jun →
overpass10–13-0.0410%16 Jun →
ancient16–14-0.1010%16 Jun →
nuke16–12-0.0311%16 Jun →
mirage13–40.0820%11 Jun →
cache5–13-0.0433%11 Jun →
nuke13–16-0.0420%10 Jun →
inferno13–8-0.0624%7 Jun →
dust213–4-0.0113%7 Jun →
nuke7–13-0.0420%6 Jun →
inferno6–13-0.0722%6 Jun →
inferno10–13-0.0819%5 Jun →
inferno8–13-0.0520%5 Jun →
nuke13–8-0.0224%30 May →
mirage13–4-0.0013%29 May →
anubis7–13-0.0219%29 May →
inferno9–13-0.0323%27 May →
inferno10–13-0.0123%27 May →
anubis8–13-0.0319%27 May →
anubis13–10-0.0116%25 May →
ancient14–16-0.0529%24 May →
ancient13–10-0.0217%20 May →
overpass9–130.0321%20 May →
dust20–13-0.1133%17 May →
nuke13–5-0.046%17 May →
inferno7–13-0.0615%16 May →
mirage13–100.0321%14 May →
inferno4–13-0.0944%14 May →
nuke4–13-0.099%9 May →
cache12–120.0116%9 May →
overpass13–8-0.0218%9 May →
inferno13–9-0.0529%9 May →
overpass2–13-0.0624%9 May →
inferno13–90.0315%8 May →
inferno8–13-0.0332%4 May →
inferno13–80.0325%4 May →
mirage5–13-0.0617%4 May →
nuke13–6-0.0317%3 May →
dust211–13-0.0717%2 May →
cache13–11-0.0116%2 May →
mirage13–11-0.048%2 May →
mirage13–5-0.0822%2 May →
nuke13–11-0.0610%2 May →
nuke4–13-0.0615%30 Apr →
cache9–130.0027%30 Apr →
inferno9–130.0625%23 Apr →
nuke13–16-0.0318%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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