₊.𖥔MilkywayB(*ᴗ͈ˬᴗ͈)

₊.𖥔MilkywayB(*ᴗ͈ˬᴗ͈) — CS2 Stats

KP76561199233715792[U:1:1273450064]Steam profile ↗✓ No bans

2,162Tracked matches52%Win rate2023Tracked since
2,716Hours in CS
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=12,738), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate41.2%46.8%48.3%7.1% short
Shot accuracy0.5%13.0%13.2%12.7% short
Kill/death ratio1.101.061.07above
Match win rate67.8%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GG₊.𖥔MilkywayB(*ᴗ͈ˬᴗ͈)FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning52
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY493813Last 10049%Win rateWWLLWLWWWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −0.8pp headshot accuracy · −126ms reaction

Win rate up 20pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 535ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 513ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 575ms

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 PlayerPositioning stands above the rest of this profile (+3.3 against its own average).

Aim5.5
Utility2.1
Positioning5.2
Opening Duels0.5
Clutch0.0

Limited utility dependence

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 76% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms 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

Aim5.5
Positioning5.2
Utility2.1
Mechanics5.0
Opening Duels1.5
Win Impact5.6

Composite 4.5/10 (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 time576ms−46ms
first ⅓ avg 622ms → last ⅓ avg 576ms
Headshot accuracy12.2%−0.7%
first ⅓ avg 12.9% → last ⅓ avg 12.2%

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

0.19Best match rating · 13–4 · inferno, 10 Aug
33%Best headshot accuracy · 0–13 · dust2, 1 Aug
375msFastest reaction time · 1–13 · inferno, 6 Sept
13–1Biggest win · ancient, 6 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
43In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 83% over 6nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%0.01
mirageB24121250%0.00
infernoC167944%0.02
ancientB63350%-0.02
anubisS65183%-0.01
nukeD62433%-0.03
cache41325%0.01
vertigo43175%-0.01
overpass31233%-0.04
office1010%0.04
boulder1010%-0.10
shelter110100%-0.08
train110100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,863Lifetime kills
1.10K/D · Top 50% of Level 8 players
8,753Matches
67.8%Match win rate · Top 5% of Level 8 players
41.2%Headshot %
0.5%Shot accuracy
10,642MVPs
2,716Hours (in match)
6,103Bombs planted
1,395Bombs defused

Most-used weapons

AK-4733,672
MP912,282
MAC-104,519
FAMAS3,573
Tec-92,841
P902,676

Lifetime map wins

11,566dust2
9,343inferno
8,414vertigo
4,294nuke
1,572train
397office
183italy
31cbble

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

Faceit stats

Combat

82Matches
61%Win rate
0.86Avg K/D
70.9ADR
48%Headshot %

Clutches & streaks

20%1v1 clutch win
10%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2450%0.7311.5
Overpass1573%0.9213.7
Anubis1070%0.9914.5
Vertigo1060%0.8410.8
Dust2786%1.0613.3
Inferno560%0.9313.2
Nuke560%0.8414.8
Ancient450%0.9212.0

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.

12.2%Headshot accuracy
31.8%Accuracy (enemy spotted)
35.5%Spray accuracy
72.6%Counter-strafing
8.9°Preaim
575msReaction time
40.9%T opening success
31.0%CT opening success
0.32Enemies flashed / flash
0.0%Flash assists
7.20HE damage / grenade
1.23Flashes / 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 12.2176% — below the 15% mark we flag

    Aim Training
  2. 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 0.3197 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.0345% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0716%12 Sept
dust213–30.0512%12 Sept
dust22–13-0.079%11 Sept
mirage1–13-0.063%11 Sept
dust213–4-0.0413%11 Sept
dust26–13-0.0411%11 Sept
ancient13–30.037%10 Sept
anubis13–9-0.0611%10 Sept
mirage13–10-0.0413%10 Sept
inferno6–130.0616%9 Sept
mirage5–13-0.0016%7 Sept
anubis13–50.0220%7 Sept
cache3–13-0.049%7 Sept
inferno1–13-0.055%6 Sept
ancient13–1-0.045%6 Sept
mirage13–80.1111%5 Sept
mirage12–12-0.0014%5 Sept
mirage7–13-0.048%5 Sept
dust213–9-0.0315%5 Sept
inferno11–130.0218%4 Sept
office12–120.0418%4 Sept
mirage13–90.028%1 Sept
anubis4–13-0.079%1 Sept
mirage13–60.0517%29 Aug
mirage12–120.0210%29 Aug
nuke8–13-0.0510%29 Aug
dust213–90.0215%29 Aug
cache8–130.0111%28 Aug
cache13–20.1312%28 Aug
cache8–13-0.0514%28 Aug
mirage1–13-0.0325%27 Aug
dust210–13-0.0114%27 Aug
ancient5–13-0.049%24 Aug
dust213–30.0810%23 Aug
dust212–120.0716%23 Aug
inferno7–13-0.0511%23 Aug
mirage13–30.034%22 Aug
mirage12–12-0.0514%22 Aug
boulder0–13-0.106%22 Aug
vertigo13–20.0317%22 Aug
nuke13–8-0.0320%22 Aug
ancient10–13-0.0318%22 Aug
overpass13–30.0718%21 Aug
anubis13–8-0.039%19 Aug
mirage13–50.088%16 Aug
dust213–20.0212%16 Aug
shelter4–5-0.0813%15 Aug
inferno12–120.0816%15 Aug
dust213–60.0314%14 Aug
dust216–14-0.0212%13 Aug
dust210–13-0.0113%13 Aug
dust23–13-0.069%13 Aug
inferno8–130.0111%12 Aug
dust213–50.096%12 Aug
mirage2–13-0.067%11 Aug
inferno13–40.199%10 Aug
mirage13–80.0519%10 Aug
dust213–10-0.038%10 Aug
dust210–13-0.0112%10 Aug
overpass7–13-0.1110%9 Aug
inferno13–5-0.036%9 Aug
dust22–130.0615%7 Aug
nuke3–130.0629%7 Aug
inferno13–160.037%6 Aug
mirage5–13-0.0522%4 Aug
vertigo13–100.0215%3 Aug
mirage6–13-0.057%2 Aug
nuke5–13-0.0621%2 Aug
mirage13–6-0.019%2 Aug
vertigo13–4-0.0616%2 Aug
dust20–13-0.0733%1 Aug
mirage13–6-0.013%1 Aug
nuke13–5-0.054%1 Aug
dust212–120.0220%31 Jul
mirage13–20.0511%31 Jul
vertigo12–12-0.0315%29 Jul
dust27–130.019%28 Jul
dust211–130.0618%22 Jul
nuke12–12-0.0212%22 Jul
dust213–30.0612%20 Jul
inferno8–10.020%20 Jul
anubis13–5-0.0114%20 Jul
mirage3–130.008%20 Jul
mirage7–13-0.0112%20 Jul
inferno13–90.037%20 Jul
anubis13–50.0813%15 Jul
inferno12–120.069%13 Jul
mirage13–100.0018%13 Jul
dust211–13-0.0215%13 Jul
inferno12–120.0316%12 Jul
dust212–120.009%12 Jul
inferno13–10-0.0114%12 Jul
dust213–3-0.0327%11 Jul
ancient13–110.029%11 Jul
ancient8–13-0.0413%11 Jul
mirage13–20.0610%11 Jul
train13–100.0115%11 Jul
inferno8–4-0.0917%11 Jul
overpass12–12-0.087%11 Jul
inferno13–6-0.0212%11 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 →