FrankWalker

FrankWalker — CS2 Stats

AU76561198885622534[U:1:925356806]Steam profile ↗✓ No bans

225Tracked matches62%Win rate2026Tracked since
243Hours in CS
CSDB Rating5.6 SolidPositional Player
Premier CS Rating13,897Blue band · top ~34.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 225 tracked matches. Play, then come back: the next observation lands here.

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. 28 days played since 21 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,897 +5,843 21 Jul18 Sept · 24 days played
7,93414,002peak 14,00221 Jul18 Sept
14,002Peak Premier in tracked matches
28Days played since 2026-07-21

Premier CS Rating

  • 105 below peak (14,002)
  • +282 over 30 days · steady
  • Next: Purple band at 15,000 1,103 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,962), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.8%41.9%44.3%7.5% short
Shot accuracy8.6%9.6%11.8%3.2% short
Kill/death ratio1.070.981.03above
Match win rate44.3%43.8%45.2%1.0% short

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

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

Share this profile

CSDB.GGFrankWalkerPREMIER13,897 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning61
Utility38

0–100 skill scores via Leetify.

Recent form

HOT57394Last 10057%Win rateWWWLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating · +2.6pp headshot accuracy · −42ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

Last 10

  • 91 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

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 (+1.1 against its own average).

Aim5.9
Utility3.8
Positioning6.1
Opening Duels5.1

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

m0NESY

Plays most like m0NESY 84% 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

Reaction time. 649ms 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

Aim5.9
Positioning6.1
Utility3.8
Mechanics6.5
Opening Duels4.3
Win Impact9.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time657ms+3ms
first ⅓ avg 654ms → last ⅓ avg 657ms
Headshot accuracy13.7%+1.3%
first ⅓ avg 12.3% → last ⅓ avg 13.7%

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

0.26Best match rating · 2–0 · dust2, 30 Jul
35%Best headshot accuracy · 13–11 · dust2, 7 Aug
477msFastest reaction time · 13–9 · inferno, 4 Sept
13–0Biggest win · mirage, 24 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
134In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 83% over 12cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%0.04
mirageA1710759%0.04
infernoS139469%0.02
nukeS1210283%0.01
anubisB115645%-0.01
cacheC104640%-0.01
ancientB63350%0.02
vertigo2020%-0.00
fachwerk1010%0.00
train1010%0.14

Across the last 100 tracked matches.

Lifetime stats

11,376Lifetime kills
1.07K/D · Top 50% of Blue band
725Matches
44.3%Match win rate · Top 50% of Blue band
36.8%Headshot %
8.6%Shot accuracy
1,767MVPs
243Hours (in match)
697Bombs planted
189Bombs defused

Most-used weapons

Lifetime map wins

1,506dust2
700inferno
590nuke
303vertigo
147train
107lake
77office
15cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.3%Spray accuracy
79.2%Counter-strafing
10.5°Preaim
649msReaction time
46.2%T opening success
48.1%CT opening success
0.41Enemies flashed / flash
4.8%Flash assists
9.02HE damage / grenade
4.78Flashes / 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 14.1877% — 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 0.4082 — below the 0.5 mark we flag

    Grenade Lineups
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0316%17 Sept
anubis13–50.0113%17 Sept
dust213–80.0715%8 Sept
cache5–13-0.0015%8 Sept
nuke10–50.038%5 Sept
dust213–7-0.0217%5 Sept
mirage9–90.1213%5 Sept
inferno13–90.018%4 Sept
anubis13–80.0317%29 Aug
dust213–80.0811%29 Aug
cache0–13-0.069%21 Aug
nuke4–13-0.0812%21 Aug
dust25–13-0.056%21 Aug
nuke13–110.0611%16 Aug
anubis1–13-0.096%16 Aug
anubis13–90.0114%15 Aug
dust215–150.027%15 Aug
mirage13–40.0814%15 Aug
dust20–13-0.0215%14 Aug
mirage13–80.0813%14 Aug
mirage9–130.077%10 Aug
dust211–130.0419%10 Aug
nuke13–30.0817%10 Aug
mirage13–6-0.0317%10 Aug
inferno9–130.0318%9 Aug
dust28–130.0524%9 Aug
cache5–13-0.0119%9 Aug
nuke13–6-0.0113%9 Aug
dust213–11-0.0135%7 Aug
nuke13–60.0313%7 Aug
fachwerk4–130.007%7 Aug
inferno16–120.0811%6 Aug
ancient13–30.0414%6 Aug
nuke1–13-0.0616%5 Aug
mirage10–13-0.026%5 Aug
mirage7–130.009%5 Aug
cache4–13-0.0014%5 Aug
ancient13–40.0911%5 Aug
cache8–130.0516%5 Aug
mirage13–40.0413%5 Aug
nuke13–4-0.014%4 Aug
dust213–30.0812%4 Aug
inferno13–80.046%3 Aug
dust25–130.029%3 Aug
dust29–13-0.0119%3 Aug
mirage13–50.0620%3 Aug
dust213–90.033%3 Aug
dust213–11-0.015%3 Aug
anubis4–13-0.1115%2 Aug
dust211–130.018%1 Aug
nuke13–9-0.0111%1 Aug
mirage9–13-0.0318%1 Aug
mirage13–70.0412%1 Aug
dust212–120.0421%1 Aug
ancient13–80.068%31 Jul
mirage9–13-0.0111%31 Jul
inferno6–13-0.043%30 Jul
dust22–00.260%30 Jul
ancient6–13-0.0012%30 Jul
dust25–13-0.0414%30 Jul
mirage13–30.1414%30 Jul
dust213–5-0.0419%30 Jul
vertigo6–90.0314%30 Jul
vertigo12–12-0.048%29 Jul
dust213–60.1414%28 Jul
dust213–9-0.0013%28 Jul
cache13–11-0.0318%27 Jul
cache13–11-0.0219%27 Jul
dust213–40.0223%27 Jul
train9–130.1416%27 Jul
anubis8–130.037%27 Jul
mirage13–60.0719%27 Jul
mirage12–120.027%27 Jul
inferno9–13-0.039%26 Jul
cache13–100.027%26 Jul
dust213–90.0715%26 Jul
inferno13–4-0.034%26 Jul
dust213–60.114%26 Jul
inferno13–60.0815%26 Jul
inferno7–130.029%24 Jul
anubis13–110.0111%24 Jul
dust213–110.129%24 Jul
anubis11–13-0.068%24 Jul
anubis9–130.0011%24 Jul
nuke16–140.0211%24 Jul
ancient6–13-0.056%24 Jul
inferno13–40.056%24 Jul
nuke13–90.0512%24 Jul
mirage13–00.0814%24 Jul
anubis16–140.0713%23 Jul
mirage3–13-0.0810%23 Jul
cache8–13-0.0116%23 Jul
dust25–130.0111%23 Jul
inferno13–100.0518%23 Jul
anubis8–130.0117%22 Jul
inferno13–100.0510%22 Jul
dust213–11-0.0225%22 Jul
inferno13–10-0.098%21 Jul
cache13–110.0118%21 Jul
ancient11–13-0.0220%21 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 →