Momo

Momo — CS2 Stats

76561197998700356[U:1:38434628]Steam profile ↗✓ No bans

1,294Tracked matches47%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating20,000Top 50% of 204,150 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79997 of 251243 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (8 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: 20,000 -2,682 24 Jul – 3 Oct · 19 days played
20,00023,197peak 23,19724 Jul3 Oct
Faceit ELO: 1,661 +0 27 Aug – 31 Aug · 2 observations
1,6611,661peak 1,66127 Aug31 Aug
23,197Peak Premier in tracked matches
1,661Highest Faceit ELO seen on CSDB
35Days played since 2026-07-22

Premier CS Rating

  • 3,197 below peak (23,197)
  • -240 over 30 days · steady
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMomoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,000 · Pink bandPEAK ELO1,661csdb.gg/stats

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Performance scores

Aim64
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLLWLLWWLLW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · −85ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 558ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

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 (+1.3 against its own average).

Aim6.4
Utility5.5
Positioning5.7
Opening Duels3.0
Clutch3.6

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

ZywOo

Plays most like ZywOo 87% 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

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim6.4
Positioning5.7
Utility5.5
Mechanics6.7
Opening Duels3.3
Win Impact3.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time606ms−56ms
first ⅓ avg 662ms → last ⅓ avg 606ms
Headshot accuracy19.2%+1.2%
first ⅓ avg 18.1% → last ⅓ avg 19.2%

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

0.17Best match rating · 13–2 · dust2, 9 Aug →
42%Best headshot accuracy · 8–13 · ancient, 13 Aug →
430msFastest reaction time · 11–13 · mirage, 3 Oct →
13–2Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
11–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 71% over 7cacheWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB3619–1753%0.01
dust2B189–950%0.00
cacheD154–1127%-0.01
infernoS75–271%0.00
ancientA74–357%0.02
nukeB63–350%-0.01
vertigo—42–250%0.00
anubis—31–233%0.04
office—11–0100%0.07
boulder—10–10%0.02
train—10–10%0.02
shelter—10–10%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

362Matches
51%Win rate
1.16Avg K/D
83.7ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9755%1.1216.4
Dust27251%1.2416.4
Inferno3853%1.0415.1
Anubis3672%1.3217.1
Nuke2540%0.9614.8
Ancient2060%1.1017.6
Cache825%1.1517.1
Overpass540%1.1619.8

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.

19.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.9%Spray accuracy
80.3%Counter-strafing
8.4°Preaim
591msReaction time
35.1%T opening success
51.5%CT opening success
0.60Enemies flashed / flash
4.9%Flash assists
7.16HE damage / grenade
7.63Flashes / 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 35.0669% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0222%3 Oct →
mirage14–160.0218%24 Sept →
inferno16–14-0.0215%12 Sept →
mirage11–13-0.0211%12 Sept →
mirage5–13-0.0617%8 Sept →
inferno13–9-0.0317%7 Sept →
dust213–70.0015%7 Sept →
anubis10–130.0717%7 Sept →
mirage4–13-0.0311%7 Sept →
mirage13–7-0.0135%6 Sept →
mirage13–10-0.0221%6 Sept →
mirage13–7-0.0018%4 Sept →
cache6–13-0.0414%31 Aug →
cache13–80.0123%26 Aug →
cache13–7-0.059%24 Aug →
dust210–130.0222%24 Aug →
ancient13–70.0415%20 Aug →
dust29–13-0.0422%20 Aug →
dust26–2-0.0236%17 Aug →
mirage13–8-0.0217%17 Aug →
nuke16–12-0.0317%16 Aug →
dust26–130.0121%16 Aug →
cache10–13-0.0620%15 Aug →
inferno9–13-0.0619%15 Aug →
dust23–13-0.0611%15 Aug →
dust21–13-0.0314%13 Aug →
ancient8–130.0742%13 Aug →
mirage6–13-0.0422%13 Aug →
mirage13–60.0327%11 Aug →
dust213–100.0125%10 Aug →
nuke5–13-0.0219%10 Aug →
mirage13–70.0214%10 Aug →
mirage13–50.038%9 Aug →
office13–30.0714%9 Aug →
dust213–8-0.0025%9 Aug →
dust213–9-0.0226%9 Aug →
nuke13–110.0311%9 Aug →
cache8–13-0.0214%9 Aug →
dust213–20.1729%9 Aug →
mirage22–190.0514%8 Aug →
ancient13–90.0118%8 Aug →
dust26–130.0115%8 Aug →
mirage13–90.0111%8 Aug →
dust213–5-0.0111%8 Aug →
ancient16–140.0615%8 Aug →
ancient10–13-0.0112%7 Aug →
vertigo6–13-0.0215%7 Aug →
mirage13–20.078%6 Aug →
inferno13–100.0514%6 Aug →
nuke13–11-0.0316%5 Aug →
mirage11–130.0518%4 Aug →
dust27–13-0.0428%4 Aug →
mirage10–13-0.0116%4 Aug →
cache11–130.0430%4 Aug →
mirage13–50.0515%4 Aug →
cache13–100.0826%3 Aug →
mirage13–20.0721%3 Aug →
nuke10–130.0218%2 Aug →
cache7–13-0.0213%2 Aug →
nuke9–13-0.0325%2 Aug →
mirage10–130.0221%2 Aug →
dust213–60.0818%2 Aug →
boulder10–130.0218%2 Aug →
cache5–13-0.0624%2 Aug →
mirage13–100.1115%2 Aug →
anubis8–130.0118%1 Aug →
mirage1–13-0.0218%1 Aug →
mirage8–13-0.0323%1 Aug →
vertigo13–100.0516%1 Aug →
train5–130.0223%1 Aug →
mirage13–80.0722%1 Aug →
cache10–13-0.0118%1 Aug →
cache4–130.0021%30 Jul →
mirage4–130.0018%30 Jul →
vertigo10–13-0.0314%30 Jul →
shelter12–120.0625%30 Jul →
ancient13–11-0.0113%29 Jul →
inferno13–110.0221%29 Jul →
mirage11–13-0.0227%29 Jul →
inferno9–60.048%29 Jul →
mirage2–13-0.0011%29 Jul →
mirage13–11-0.0218%28 Jul →
vertigo13–110.0236%28 Jul →
inferno5–130.0313%27 Jul →
cache13–6-0.0218%27 Jul →
mirage13–11-0.0319%26 Jul →
dust213–16-0.0313%26 Jul →
ancient5–13-0.0112%26 Jul →
cache6–13-0.0611%26 Jul →
mirage13–10-0.0310%26 Jul →
mirage7–13-0.0423%25 Jul →
mirage9–13-0.0113%25 Jul →
anubis13–60.0414%25 Jul →
cache10–130.0120%25 Jul →
dust213–11-0.0518%24 Jul →
cache11–130.0321%23 Jul →
dust24–13-0.0118%23 Jul →
mirage13–50.0917%23 Jul →
mirage10–130.0123%23 Jul →
mirage13–11-0.0220%22 Jul →

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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