Frank Walker — CS2 Stats

76561198042255425[U:1:81989697]

687Tracked matches38%Win rate2020Tracked since
CSDB Rating5.9 SolidPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim83
Positioning51
Utility52

0–100 skill scores via Leetify.

Recent form

COLD42544Last 10042%Win rateWLLLWLLWLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression4.4
Utility5.2
Positioning5.1
Opening Duels1.7

Excellent counter-strafingEffective flashesLimited 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.

Your pro match

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 656ms 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

Aim8.3
Positioning5.1
Utility5.2
Mechanics8.6
Opening Duels1.7
Win Impact1.0

Composite 5.9/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time656ms−27ms
first ⅓ avg 683ms → last ⅓ avg 656ms
Headshot accuracy22.6%−0.4%
first ⅓ avg 23.1% → last ⅓ avg 22.6%

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.

Highlights

0.17Best rating — mirage 13–3
131Biggest win — overpass
4Longest win streak
913In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 83% over 6anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B25121348%-0.01
mirageC1871139%0.00
infernoB189950%0.01
overpassD124833%-0.01
ancientD103730%-0.01
trainS65183%0.03
anubisD51420%-0.04
cache41325%0.01
nuke2020%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.8%Headshot accuracy
38.6%Accuracy (enemy spotted)
41.0%Spray accuracy
88.8%Counter-strafing
9.0°Preaim
656msReaction time
31.9%T opening success
41.5%CT opening success
0.76Enemies flashed / flash
5.2%Flash assists
10.16HE damage / grenade
4.70Flashes / 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. 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 31.8907% — below the 40% mark we flag

Spend your practice time on Anubis

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 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–30.0626%22 Aug
mirage7–13-0.0315%18 Aug
cache5–13-0.0223%18 Aug
cache10–130.0520%17 Aug
anubis13–10-0.0322%14 Aug
nuke9–130.0222%14 Aug
mirage3–13-0.0228%8 Aug
inferno13–70.0317%8 Aug
dust211–130.0333%8 Aug
anubis7–13-0.0328%8 Aug
cache11–130.0330%7 Aug
mirage13–70.0235%3 Aug
inferno16–140.0224%3 Aug
dust213–11-0.0527%29 Jul
ancient13–11-0.0224%23 Jul
mirage4–13-0.0616%22 Jul
nuke7–13-0.108%22 Jul
mirage11–13-0.0116%15 Jul
inferno13–90.0123%15 Jul
dust22–13-0.0717%4 Jul
overpass9–130.0118%1 Jul
dust210–13-0.0613%29 Jun
mirage9–13-0.0220%29 Jun
ancient11–130.0013%29 Jun
inferno15–15-0.0118%26 Jun
overpass13–100.0224%22 Jun
inferno9–13-0.0626%22 Jun
dust213–16-0.0319%21 Jun
inferno13–8-0.0126%21 Jun
overpass13–1-0.0124%21 Jun
inferno13–2-0.0443%15 Jun
ancient11–130.0224%15 Jun
cache13–8-0.0023%18 May
mirage6–130.0314%1 May
dust23–13-0.0819%1 May
inferno13–110.0222%22 Apr
ancient2–130.0123%9 Mar
mirage13–160.0123%11 Feb
anubis5–13-0.0813%11 Feb
inferno13–100.0417%10 Feb
mirage11–130.0018%10 Feb
inferno16–120.0222%10 Feb
dust28–13-0.0417%4 Feb
ancient11–13-0.0526%4 Feb
dust213–11-0.0128%29 Jan
inferno15–150.0625%29 Jan
dust26–13-0.0626%28 Jan
mirage9–13-0.0128%23 Jan
ancient3–13-0.0732%23 Jan
dust213–30.0917%22 Jan
anubis4–13-0.0513%22 Jan
mirage13–30.1718%22 Jan
anubis4–13-0.0417%22 Jan
ancient13–10-0.0222%11 Jan
mirage5–13-0.0320%11 Jan
train13–11-0.0323%10 Jan
overpass9–13-0.0720%10 Jan
inferno11–13-0.0020%8 Jan
dust213–8-0.0024%8 Jan
train13–50.1029%8 Jan
mirage13–5-0.0217%8 Jan
inferno15–150.0216%26 Dec
ancient13–110.0213%26 Dec
dust24–13-0.0410%19 Dec
inferno11–13-0.0521%18 Dec
dust216–13-0.0114%17 Dec
overpass9–13-0.0531%17 Dec
dust213–20.0617%12 Dec
train13–7-0.0018%3 Dec
dust213–8-0.0121%16 Nov
ancient8–130.0021%16 Nov
inferno11–130.0723%18 Oct
train13–70.0831%18 Oct
dust27–130.0323%18 Oct
dust213–100.0130%10 Sept
overpass8–13-0.0122%7 Sept
dust25–13-0.0124%6 Sept
overpass13–80.0120%6 Sept
mirage13–90.0120%31 Aug
overpass3–130.0026%29 Aug
dust210–130.0229%28 Aug
overpass11–130.0535%23 Aug
dust213–7-0.0125%21 Aug
mirage13–11-0.0428%18 Aug
overpass3–13-0.0929%15 Aug
dust211–13-0.0227%15 Aug
train13–160.0526%10 Aug
dust213–9-0.0219%10 Aug
inferno7–13-0.0216%10 Aug
overpass13–70.0227%8 Aug
train13–50.0127%8 Aug
mirage16–13-0.0121%8 Aug
overpass15–150.0327%31 Jul
dust213–4-0.0123%30 Jul
ancient8–130.0526%24 Jul
mirage14–16-0.0217%22 Jul
inferno9–130.0016%22 Jul
mirage13–70.0429%22 Jul
dust24–13-0.007%22 Jul
inferno13–11-0.0214%22 Jul

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 →