RIP Moti

RIP Moti — CS2 Stats

FI76561198030485849[U:1:70220121]Steam profile ↗✓ No bans

1,584Tracked matches59%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating17,501Purple band · top ~18.4% of ranked players (population est.)
FaceitLevel 6 · 1,281 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Apr 2026 (226 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: 17,501 -3,646 17 Dec – 2 Apr · 19 days played
16,96424,355peak 24,35517 Dec2 Apr
24,355Peak Premier in tracked matches
1,281Highest Faceit ELO seen on CSDB
31Days played since 2025-12-15

Faceit ELO

  • At peak — 1,281
  • Next: Level 7 at 1,351 — 70 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 6,854 below peak (24,355)
  • -1,954 over 30 days · declining
  • -5,786 over 90 days
  • Next: Pink band at 20,000 — 2,499 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.GGRIP MotiFACEITLevel 6 · 1,281 ELOSTANDINGTop 54.0% of rankedPREMIER17,501 · Purple bandPEAK ELO1,281csdb.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

Aim58
Positioning49
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLLWLLLWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.7pp headshot accuracy · +32ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 759ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 701ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 685ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8
Utility5.0
Positioning4.9
Opening Duels3.5
Clutch4.0

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

ZywOo

Plays most like ZywOo 86% 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. 664ms 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

Aim5.8
Positioning4.9
Utility5.0
Mechanics6.0
Opening Duels2.8
Win Impact7.9

Composite 5.4/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time661ms+31ms
first ⅓ avg 629ms → last ⅓ avg 661ms
Headshot accuracy19.8%+4.0%
first ⅓ avg 15.8% → last ⅓ avg 19.8%

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

0.11Best match rating · 13–2 · train, 14 Jan →
50%Best headshot accuracy · 2–13 · dust2, 18 Jan →
438msFastest reaction time · 6–13 · mirage, 3 Mar →
13–1Biggest win · ancient, 17 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%-0.02
dust2B2210–1245%-0.03
nukeB157–847%-0.04
anubisS1310–377%-0.02
infernoA106–460%-0.02
overpassB63–350%-0.02
ancientS54–180%-0.02
train—33–0100%0.04
vertigo—10–10%0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,284Matches
52%Win rate
0.98Avg K/D
72.3ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6853%1.1314.8
Nuke4856%1.0014.8
Ancient4134%0.9015.0
Inferno3574%0.9314.4
Dust22948%0.9813.8
Anubis2669%1.1415.3
Overpass1457%0.8912.4
Vertigo367%1.6116.7

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.

20.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
29.6%Spray accuracy
77.0%Counter-strafing
9.0°Preaim
664msReaction time
36.5%T opening success
46.0%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
9.12HE damage / grenade
12.29Flashes / 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 36.5279% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–60.0219%2 Apr →
mirage4–13-0.048%2 Apr →
nuke12–16-0.0322%22 Mar →
anubis13–10-0.0218%22 Mar →
dust29–13-0.0424%3 Mar →
mirage6–13-0.0820%3 Mar →
dust211–13-0.0410%3 Mar →
mirage13–3-0.0527%3 Mar →
nuke13–20.0220%3 Mar →
mirage13–11-0.0119%3 Mar →
inferno13–60.0414%3 Mar →
anubis13–6-0.0317%2 Mar →
mirage10–13-0.0226%2 Mar →
inferno16–13-0.0111%2 Mar →
anubis16–130.0127%2 Mar →
dust213–7-0.0121%2 Mar →
mirage6–13-0.0328%2 Mar →
nuke9–13-0.0128%2 Mar →
mirage13–50.0521%2 Mar →
dust27–13-0.0221%15 Feb →
nuke6–13-0.0512%15 Feb →
vertigo12–120.1030%15 Feb →
mirage13–50.0418%14 Feb →
mirage23–25-0.0216%12 Feb →
dust213–7-0.0116%12 Feb →
dust213–60.0729%5 Feb →
mirage13–11-0.0224%4 Feb →
anubis13–10-0.0221%4 Feb →
ancient13–4-0.0514%4 Feb →
nuke10–13-0.0223%4 Feb →
dust213–4-0.0129%4 Feb →
mirage3–13-0.0213%4 Feb →
inferno8–13-0.0511%4 Feb →
anubis13–40.0219%4 Feb →
mirage4–13-0.0321%4 Feb →
dust27–130.0229%4 Feb →
nuke13–8-0.0335%28 Jan →
mirage15–15-0.0222%28 Jan →
nuke7–13-0.1024%28 Jan →
inferno13–60.0217%28 Jan →
dust27–13-0.0316%27 Jan →
mirage9–13-0.0117%27 Jan →
overpass13–5-0.0112%26 Jan →
mirage16–13-0.0315%26 Jan →
mirage10–13-0.0513%26 Jan →
inferno8–13-0.058%26 Jan →
dust213–110.0213%26 Jan →
anubis16–13-0.088%25 Jan →
dust215–15-0.0121%25 Jan →
overpass16–12-0.0019%25 Jan →
dust213–4-0.037%25 Jan →
anubis16–12-0.0314%24 Jan →
overpass13–110.0020%24 Jan →
nuke4–13-0.077%24 Jan →
overpass14–16-0.0519%24 Jan →
mirage11–13-0.0019%24 Jan →
anubis10–13-0.0524%24 Jan →
anubis13–20.0314%23 Jan →
mirage2–13-0.0221%21 Jan →
dust22–13-0.1018%21 Jan →
anubis13–40.0121%19 Jan →
ancient13–10-0.0327%18 Jan →
dust22–13-0.0950%18 Jan →
mirage13–50.0912%17 Jan →
ancient13–10.0639%17 Jan →
mirage10–13-0.0329%17 Jan →
dust213–6-0.0419%17 Jan →
inferno13–11-0.0237%17 Jan →
anubis3–13-0.0913%17 Jan →
mirage3–13-0.033%17 Jan →
train13–110.0235%17 Jan →
anubis9–13-0.0210%15 Jan →
inferno13–110.0216%14 Jan →
train13–20.1111%14 Jan →
mirage13–80.0520%14 Jan →
dust210–13-0.0110%14 Jan →
nuke13–10-0.0914%12 Jan →
nuke13–10-0.0715%12 Jan →
dust26–13-0.0114%8 Jan →
ancient13–7-0.0017%8 Jan →
inferno3–13-0.068%30 Dec →
nuke13–6-0.0028%30 Dec →
overpass14–16-0.0222%30 Dec →
train13–11-0.0022%30 Dec →
nuke5–13-0.077%28 Dec →
inferno6–13-0.0218%27 Dec →
nuke7–13-0.009%20 Dec →
dust213–8-0.0817%19 Dec →
nuke13–7-0.0720%19 Dec →
dust216–14-0.068%19 Dec →
inferno13–9-0.0914%19 Dec →
mirage3–9-0.0317%19 Dec →
overpass9–13-0.039%18 Dec →
dust27–13-0.0711%18 Dec →
dust213–20.0021%18 Dec →
mirage13–5-0.076%18 Dec →
ancient3–13-0.0712%18 Dec →
nuke16–13-0.0421%17 Dec →
mirage10–13-0.0313%15 Dec →
dust24–13-0.0424%15 Dec →

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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