Frank White musor1.win

Frank White musor1.win — CS2 Stats

DE76561198236454244[U:1:276188516]Steam profile ↗✓ No bans

897Tracked matches48%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating15,854Purple band · top ~25% of ranked players (population est.)
FaceitLevel 9 · 1,269 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,854 → 15,854
0Faceit ELO · 1,269 → 1,269
+63Tracked matches · now 897
+10.3ppWin rate · 37.9% → 48.3%

Rating over time

Premier CS Rating: 15,854 -5,859 5 Jun – 18 Sept · 9 days played
15,67022,576peak 22,5765 Jun18 Sept
Faceit ELO: 1,269 +0 3 Sept – 18 Sept · 3 observations
1,2691,269peak 1,2693 Sept18 Sept
22,679Peak Premier in tracked matches
1,269Highest Faceit ELO seen on CSDB
66Days played since 2025-06-05

Faceit ELO

  • At peak — 1,269
  • Next: Level 7 at 1,351 — 82 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-03
  • Level 5 first seen 2026-09-03

Premier CS Rating

  • 6,722 below peak (22,576)
  • +184 over 30 days · steady
  • Next: Pink band at 20,000 — 4,146 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.GGFrank White musor1.winFACEITLevel 9 · 1,269 ELOSTANDINGTop 20.7% of rankedPREMIER15,854 · Purple bandPEAK ELO1,269csdb.gg/stats

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Performance scores

Aim72
Positioning52
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLLWWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −3.1pp headshot accuracy · +25ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 536ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 494ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 482ms

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 (+1.5 against its own average).

Aim7.2
Utility4.2
Positioning5.2
Opening Duels3.0
Clutch2.6

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

jL

Plays most like jL 98% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

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

Counter-strafing. Only 68% 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

Aim7.2
Positioning5.2
Utility4.2
Mechanics3.9
Opening Duels1.8
Win Impact4.4

Composite 5.0/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time497ms−112ms
first ⅓ avg 609ms → last ⅓ avg 497ms
Headshot accuracy15.7%−1.6%
first ⅓ avg 17.3% → last ⅓ avg 15.7%

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 · 9–1 · inferno, 30 May →
50%Best headshot accuracy · 1–9 · poseidon, 19 Aug →
258msFastest reaction time · 1–9 · inferno, 30 Aug →
13–0Biggest win · ancient, 9 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 56% over 9dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%0.02
ancientD165–1131%-0.02
nukeC166–1038%-0.01
infernoB105–550%-0.01
dust2D103–730%-0.02
anubisA95–456%0.01
cache—42–250%-0.01
vertigo—31–233%-0.02
overpass—31–233%0.04
poseidon—10–10%-0.11
train—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

645Matches
50%Win rate
1.18Avg K/D
80.8ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14753%1.2617.0
Dust210950%1.1516.2
Ancient8143%1.1316.6
Anubis6455%1.1715.3
Inferno5443%1.1216.4
Nuke5262%1.2916.2
Cache3050%1.0815.6
Overpass1650%1.1216.8

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.

15.4%Headshot accuracy
35.8%Accuracy (enemy spotted)
35.9%Spray accuracy
67.7%Counter-strafing
7.8°Preaim
501msReaction time
34.0%T opening success
40.6%CT opening success
0.47Enemies flashed / flash
2.0%Flash assists
12.54HE damage / grenade
3.01Flashes / 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 0.4668 — 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 33.9706% — below the 40% mark we flag

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.1015%28 Oct →
ancient11–13-0.0713%27 Oct →
nuke5–9-0.050%21 Oct →
cache13–11-0.0417%19 Oct →
ancient13–90.015%17 Oct →
ancient6–13-0.0414%12 Oct →
ancient11–13-0.0621%10 Oct →
vertigo1–13-0.087%28 Sept →
mirage13–80.0310%22 Sept →
inferno6–90.0417%14 Sept →
nuke13–90.0419%13 Sept →
dust213–10.0426%6 Sept →
mirage16–130.0811%6 Sept →
nuke7–13-0.0621%5 Sept →
ancient11–13-0.0212%5 Sept →
mirage13–9-0.0217%30 Aug →
inferno1–9-0.240%30 Aug →
inferno7–13-0.0118%28 Aug →
mirage7–130.0216%28 Aug →
anubis5–13-0.0112%27 Aug →
inferno13–40.0121%26 Aug →
ancient13–11-0.0113%23 Aug →
cache13–70.068%22 Aug →
inferno15–150.0620%20 Aug →
mirage13–30.1026%20 Aug →
mirage5–130.0930%20 Aug →
ancient2–120.0015%19 Aug →
anubis13–80.0911%19 Aug →
poseidon1–9-0.1150%19 Aug →
nuke5–130.0411%19 Aug →
anubis13–60.0410%17 Aug →
ancient11–130.0221%8 Aug →
nuke14–16-0.0012%8 Aug →
anubis13–16-0.0817%7 Aug →
vertigo6–13-0.0510%7 Aug →
dust20–13-0.1013%6 Aug →
dust23–13-0.0317%6 Aug →
anubis13–11-0.0019%5 Aug →
mirage10–130.0129%31 Jul →
cache8–130.0123%28 Jul →
ancient14–16-0.104%28 Jul →
anubis5–130.0416%26 Jul →
mirage13–30.1523%26 Jul →
dust26–13-0.028%23 Jul →
anubis5–13-0.0915%22 Jul →
anubis13–110.0120%22 Jul →
mirage9–130.0516%22 Jul →
mirage1–13-0.050%9 Jul →
nuke13–8-0.0011%5 Jul →
inferno9–4-0.1629%31 May →
nuke9–7-0.0118%31 May →
nuke0–9-0.170%31 May →
nuke5–9-0.0419%30 May →
inferno9–10.2023%30 May →
inferno9–50.0315%30 May →
nuke9–50.1637%30 May →
vertigo9–40.0618%28 May →
dust212–16-0.0317%27 May →
dust213–30.0315%27 May →
cache8–13-0.086%22 May →
mirage13–80.0126%21 May →
mirage0–6-0.0717%18 May →
nuke11–13-0.0218%14 May →
mirage13–80.0423%14 May →
ancient6–13-0.0715%9 May →
ancient13–0-0.0810%9 May →
nuke7–130.0322%28 Apr →
mirage5–130.0529%26 Apr →
overpass4–13-0.0310%25 Apr →
overpass13–20.1213%24 Apr →
mirage13–20.0423%23 Apr →
nuke13–40.0115%23 Apr →
ancient8–110.018%20 Apr →
mirage12–12-0.003%20 Apr →
dust25–13-0.0024%9 Apr →
mirage16–13-0.0028%6 Apr →
mirage13–80.0713%6 Apr →
mirage11–130.0516%4 Apr →
mirage13–60.0224%4 Apr →
nuke14–16-0.028%25 Mar →
dust25–13-0.0118%14 Mar →
inferno13–100.0113%13 Mar →
ancient13–80.1227%13 Mar →
mirage11–130.0214%7 Mar →
nuke13–70.0522%28 Dec →
overpass15–150.029%23 Dec →
inferno14–16-0.0313%23 Dec →
mirage9–13-0.0526%23 Dec →
mirage10–13-0.0615%23 Dec →
nuke8–13-0.0331%22 Dec →
dust213–110.0214%21 Dec →
mirage10–13-0.0119%21 Dec →
train13–4-0.0115%27 Nov →
ancient8–13-0.0521%6 Jul →
dust28–13-0.0832%23 Jun →
mirage13–70.0417%23 Jun →
mirage13–9-0.0613%22 Jun →
ancient13–70.0521%20 Jun →
ancient7–130.0118%18 Jun →
mirage4–13-0.070%5 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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