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yMVP

yMVP — CS2 Stats

76561198849626188[U:1:889360460]Steam profile ↗✓ No bans

160Tracked matches40%Win rate2026Tracked since
CSDB Rating2.6 LearningClutch Specialist
Premier CS Rating3,723Grey band · top ~84.2% of ranked players (population est.)
CSDB Leaderboard#199548 of 252620 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−377Premier CS Rating · 4,100 → 3,723

Rating over time

Premier CS Rating: 3,723 -7,911 27 Jul – 17 Oct · 28 days played
3,69111,634peak 11,63427 Jul17 Oct
11,634Peak Premier in tracked matches
30Days played since 2026-07-26

Premier CS Rating

  • 7,911 below peak (11,634)
  • -5,149 over 30 days · declining
  • -7,911 over 90 days
  • Next: Light Blue band at 5,000 — 1,277 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.

Share this profile

CSDB.GGyMVPPREMIER3,723 · Grey bandcsdb.gg/stats

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Performance scores

Aim28
Positioning34
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY37–60–3Last 10037%Win rateLLLWWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.3pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 766ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 719ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 727ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.9 against its own average).

Aim2.8
Utility3.0
Positioning3.4
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

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 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 40% on T to 23% on CT — first contacts on the defending side are being lost.

Reaction time. 727ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning3.4
Utility3.0
Mechanics4.1
Opening Duels1.3
Win Impact1.7

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time722ms−23ms
first ⅓ avg 746ms → last ⅓ avg 722ms
Headshot accuracy9.1%+1.0%
first ⅓ avg 8.1% → last ⅓ avg 9.1%

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

0.08Best match rating · 13–1 · nuke, 13 Oct →
23%Best headshot accuracy · 13–9 · cache, 11 Oct →
500msFastest reaction time · 13–8 · ancient, 29 Aug →
13–1Biggest win · nuke, 13 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
6–16In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 12mirageWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.04
ancientC198–1142%-0.06
cacheD164–1225%-0.05
mirageD153–1220%-0.04
anubisS128–467%-0.05
nukeD92–722%-0.06
infernoD62–433%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
38%Win rate
0.39Avg K/D
39.2ADR
30%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.375.0
Inferno10%0.326.0
Ancient1100%0.506.0
Cache1100%0.5310.0
Mirage10%0.071.0
Anubis10%0.5811.0

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.

8.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
30.6%Spray accuracy
68.5%Counter-strafing
9.8°Preaim
727msReaction time
40.3%T opening success
22.9%CT opening success
0.48Enemies flashed / flash
2.4%Flash assists
7.51HE damage / grenade
2.51Flashes / 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 8.7978% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 727.3474ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4816 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–16-0.0512%17 Oct →
mirage14–16-0.036%17 Oct →
dust26–13-0.099%17 Oct →
cache13–10-0.079%17 Oct →
ancient13–9-0.0618%17 Oct →
nuke11–13-0.053%17 Oct →
anubis9–13-0.072%17 Oct →
mirage16–130.015%16 Oct →
nuke6–13-0.0914%16 Oct →
anubis13–11-0.0610%16 Oct →
cache11–130.0113%16 Oct →
cache9–12-0.067%16 Oct →
ancient13–16-0.074%13 Oct →
mirage7–130.0215%13 Oct →
mirage4–13-0.1117%13 Oct →
nuke13–10.081%13 Oct →
ancient13–8-0.070%13 Oct →
mirage8–130.0212%13 Oct →
dust24–13-0.078%13 Oct →
dust213–60.037%13 Oct →
dust211–12-0.068%13 Oct →
nuke11–13-0.0610%13 Oct →
nuke7–13-0.100%13 Oct →
ancient11–13-0.086%13 Oct →
nuke13–10-0.087%13 Oct →
ancient13–9-0.016%12 Oct →
cache9–13-0.0211%12 Oct →
dust213–50.0319%12 Oct →
mirage13–40.0214%12 Oct →
dust25–13-0.0412%12 Oct →
nuke11–13-0.079%11 Oct →
cache13–9-0.0423%11 Oct →
nuke5–13-0.084%11 Oct →
dust210–13-0.088%5 Oct →
anubis13–10-0.0513%4 Oct →
ancient11–13-0.039%4 Oct →
cache6–13-0.084%4 Oct →
ancient7–13-0.130%4 Oct →
anubis13–9-0.036%3 Oct →
anubis13–10-0.0514%3 Oct →
ancient10–13-0.074%3 Oct →
ancient4–13-0.063%3 Oct →
inferno9–13-0.099%3 Oct →
mirage11–13-0.038%1 Oct →
dust213–2-0.074%1 Oct →
anubis9–13-0.136%29 Sept →
cache11–13-0.016%29 Sept →
inferno13–3-0.007%29 Sept →
mirage11–13-0.062%29 Sept →
dust211–13-0.0811%29 Sept →
ancient14–16-0.0811%29 Sept →
anubis13–10.025%28 Sept →
dust21–7-0.040%28 Sept →
inferno9–13-0.079%28 Sept →
ancient7–13-0.0610%28 Sept →
dust213–10-0.0317%27 Sept →
anubis13–110.0310%27 Sept →
cache10–13-0.1013%27 Sept →
nuke15–15-0.066%23 Sept →
mirage11–13-0.0511%23 Sept →
dust22–13-0.080%23 Sept →
dust213–6-0.063%15 Sept →
dust215–15-0.037%15 Sept →
anubis13–5-0.078%10 Sept →
cache11–13-0.0113%10 Sept →
cache13–4-0.0617%9 Sept →
dust211–13-0.058%8 Sept →
cache7–13-0.1013%8 Sept →
ancient16–14-0.0410%7 Sept →
dust216–13-0.0116%7 Sept →
mirage13–10-0.007%6 Sept →
mirage9–130.0112%6 Sept →
ancient13–110.017%6 Sept →
dust215–15-0.0813%5 Sept →
inferno13–10-0.0914%4 Sept →
dust25–13-0.0212%3 Sept →
dust28–13-0.0214%31 Aug →
cache9–13-0.044%30 Aug →
ancient7–13-0.086%30 Aug →
inferno9–13-0.0410%30 Aug →
cache13–10-0.040%29 Aug →
ancient13–8-0.006%29 Aug →
dust213–100.019%29 Aug →
mirage6–13-0.0711%28 Aug →
cache10–13-0.036%28 Aug →
cache11–13-0.0813%26 Aug →
ancient13–5-0.042%26 Aug →
ancient5–13-0.083%26 Aug →
ancient7–13-0.140%26 Aug →
anubis9–13-0.063%24 Aug →
mirage10–13-0.104%24 Aug →
anubis13–8-0.086%27 Jul →
mirage8–13-0.0611%27 Jul →
anubis8–13-0.075%27 Jul →
dust213–7-0.0617%27 Jul →
cache5–13-0.097%27 Jul →
ancient13–11-0.0516%26 Jul →
dust213–5-0.027%26 Jul →
dust26–13-0.035%26 Jul →
mirage0–13-0.140%26 Jul →

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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