Miso

Miso — CS2 Stats

76561198035539379[U:1:75273651]Steam profile ↗✓ No bans

1,085Tracked matches34%Win rate2023Tracked since
1,255Hours in CS11Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating16,162Purple band · top ~23.8% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+350Premier CS Rating · 15,812 → 16,162

Rating over time

Premier CS Rating: 16,162 +568 19 Aug – 12 Oct · 15 days played
15,59416,643peak 16,64319 Aug12 Oct
Faceit ELO: 1,250 +0 31 Aug – 7 Sept · 2 observations
1,2501,250peak 1,25031 Aug7 Sept
16,643Peak Premier in tracked matches
1,250Highest Faceit ELO seen on CSDB
34Days played since 2026-07-10

Faceit ELO

  • At peak — 1,250
  • Next: Level 7 at 1,351 — 101 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

Premier CS Rating

  • 481 below peak (16,643)
  • +129 over 30 days · steady
  • Next: Pink band at 20,000 — 3,838 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches53——
Win rate53%——
K/D1.16——
Headshot %56%——

Measured 8 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate56.0%44.3%46.9%above
Shot accuracy3.2%11.9%13.0%9.8% short
Kill/death ratio0.961.031.080.12 short
Match win rate44.9%45.2%46.7%1.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMisoPREMIER16,162 · Purple bandPEAK ELO1,250csdb.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

Aim72
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWWLWWLLLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +6.3pp headshot accuracy · −38ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 592ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 572ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 591ms

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 (+1.1 against its own average).

Aim7.2
Utility5.3
Positioning5.0
Opening Duels1.9
Clutch4.4

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

ZywOo

Plays most like ZywOo 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 584ms 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

Aim7.2
Positioning5.0
Utility5.3
Mechanics7.2
Opening Duels2.3
Win Impact0.0

Composite 5.3/10 (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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time582ms−75ms
first ⅓ avg 656ms → last ⅓ avg 582ms
Headshot accuracy21.6%−0.9%
first ⅓ avg 22.5% → last ⅓ avg 21.6%

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

0.20Best match rating · 9–4 · inferno, 19 Aug →
54%Best headshot accuracy · 9–4 · inferno, 19 Aug →
422msFastest reaction time · 7–13 · ancient, 21 Aug →
13–0Biggest win · train, 10 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 73% over 11mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC2511–1444%0.01
ancientD154–1127%-0.03
anubisS118–373%0.01
trainB115–645%0.00
dust2D103–730%-0.03
infernoS96–367%0.01
mirageD50–50%-0.03
rush_001—32–167%0.10
nuke—21–150%-0.01
boulder—21–150%0.08
debris—22–0100%0.03
eldorado—22–0100%0.04
vertigo—10–10%-0.06
overpass—10–10%-0.00
fachwerk—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,577Lifetime kills
0.96K/D
2,457Matches
44.9%Match win rate
56.0%Headshot % · Top 10% of Purple band
3.2%Shot accuracy
6,070MVPs
729Hours (in match)
2,499Bombs planted
612Bombs defused

Most-used weapons

Lifetime map wins

3,734inferno
1,488train
1,168nuke
693dust2
578vertigo
96cbble
38lake
17office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

105Matches
55%Win rate
1.01Avg K/D
75.2ADR
53%Headshot %

Clutches & streaks

42%1v1 clutch win
11%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3339%0.9414.4
Ancient2572%1.0016.1
Inferno1771%1.0512.9
Anubis1331%0.9615.2
Nuke757%0.8611.3
Cache650%1.2918.0
Overpass2100%1.3715.0
Train1100%1.1919.0

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.

20.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
35.2%Spray accuracy
82.5%Counter-strafing
8.1°Preaim
584msReaction time
33.4%T opening success
44.7%CT opening success
0.40Enemies flashed / flash
3.7%Flash assists
12.28HE damage / grenade
6.28Flashes / 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 0.4029 — 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 33.4364% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.0313%12 Oct →
ancient13–8-0.0422%11 Oct →
mirage7–13-0.0219%11 Oct →
rush_0016–20.2022%10 Oct →
rush_0015–10.1143%10 Oct →
rush_0013–7-0.0135%10 Oct →
ancient7–13-0.0722%10 Oct →
cache1–13-0.0444%10 Oct →
dust28–130.0322%9 Oct →
dust26–13-0.0226%9 Oct →
ancient13–80.0219%3 Oct →
anubis10–13-0.0621%3 Oct →
anubis13–20.1020%2 Oct →
mirage7–130.0124%2 Oct →
dust24–13-0.0320%23 Sept →
ancient13–11-0.0217%23 Sept →
inferno13–2-0.0715%22 Sept →
cache3–13-0.0319%22 Sept →
mirage2–13-0.0431%2 Sept →
cache5–130.0819%1 Sept →
inferno6–90.0723%1 Sept →
train11–130.0122%1 Sept →
cache10–13-0.0415%1 Sept →
cache13–70.0318%23 Aug →
cache9–13-0.0217%22 Aug →
dust29–13-0.0813%22 Aug →
inferno2–13-0.0440%22 Aug →
ancient7–130.029%21 Aug →
cache11–130.0118%21 Aug →
cache13–40.0412%21 Aug →
anubis8–4-0.0515%21 Aug →
ancient3–13-0.0623%21 Aug →
mirage15–15-0.0515%21 Aug →
anubis13–90.0134%20 Aug →
anubis13–10.1129%19 Aug →
inferno13–11-0.0319%19 Aug →
ancient3–13-0.068%19 Aug →
vertigo5–9-0.0619%19 Aug →
inferno9–40.2054%19 Aug →
overpass7–13-0.0012%19 Aug →
dust23–13-0.0820%19 Aug →
cache4–13-0.0930%18 Aug →
cache13–9-0.0425%18 Aug →
train11–13-0.0519%18 Aug →
inferno16–12-0.0422%17 Aug →
ancient7–130.0118%17 Aug →
train13–100.0329%17 Aug →
cache3–60.000%15 Aug →
inferno13–100.0136%11 Aug →
cache12–12-0.0317%10 Aug →
train9–13-0.0321%10 Aug →
dust213–4-0.0328%10 Aug →
train13–10-0.0022%10 Aug →
cache8–130.0026%10 Aug →
cache13–50.0621%10 Aug →
train13–00.0630%10 Aug →
fachwerk13–1-0.0127%6 Aug →
dust23–13-0.0415%6 Aug →
train11–13-0.0718%6 Aug →
dust25–13-0.0625%6 Aug →
inferno13–1-0.0217%6 Aug →
train7–130.0531%4 Aug →
cache13–70.0722%4 Aug →
cache12–16-0.0117%4 Aug →
nuke7–13-0.0128%3 Aug →
ancient14–160.0417%3 Aug →
cache13–40.1512%2 Aug →
train13–70.0818%2 Aug →
anubis13–6-0.0122%2 Aug →
ancient9–13-0.0840%2 Aug →
cache10–13-0.0523%2 Aug →
nuke13–11-0.0133%1 Aug →
dust26–00.0236%1 Aug →
anubis13–50.0617%1 Aug →
cache13–10-0.0120%1 Aug →
train13–10.0119%1 Aug →
cache7–13-0.0718%1 Aug →
cache13–3-0.0020%1 Aug →
train0–9-0.0533%1 Aug →
dust213–2-0.035%1 Aug →
anubis9–13-0.0117%1 Aug →
mirage10–13-0.0222%1 Aug →
anubis13–8-0.0616%29 Jul →
inferno10–13-0.0212%29 Jul →
ancient13–3-0.0519%28 Jul →
cache13–30.0326%28 Jul →
boulder13–40.0824%28 Jul →
anubis13–7-0.0127%28 Jul →
ancient7–13-0.047%27 Jul →
ancient4–13-0.038%27 Jul →
anubis6–13-0.0030%23 Jul →
cache10–130.0216%21 Jul →
ancient3–13-0.064%20 Jul →
cache13–70.0529%19 Jul →
boulder12–120.0939%19 Jul →
ancient9–13-0.0425%19 Jul →
debris9–70.0529%14 Jul →
eldorado9–60.0522%14 Jul →
debris9–40.0121%14 Jul →
eldorado9–30.0446%10 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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