Filbert — CS2 Stats

76561198852809769[U:1:892544041]

896Tracked matches50%Win rate2023Tracked since
1,060Hours in CS18Hrs last 2 wks
CSDB Rating4.2 Developing
Premier CS Rating11,912Blue band · top ~44.8% of ranked players (population est.)
CSDB Leaderboard#24978 of 35977 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate34.5%41.7%44.1%9.6% short
Shot accuracy0.7%8.8%11.4%10.7% short
Kill/death ratio0.760.971.030.27 short
Match win rate40.5%43.8%45.2%4.7% short

This profile sits below the typical Purple band player on every metric we can compare.

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.

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CSDB.GGFilbertPREMIER11,912 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning51
Utility37

0–100 skill scores via Leetify.

Recent form

COLD48475Last 10048%Win rateLLLTWWTWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.4
Aggression6.6
Utility3.7
Positioning5.1
Opening Duels3.4

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim4.4
Positioning5.1
Utility3.7
Mechanics4.5
Opening Duels3.4
Win Impact5.0

Composite 4.2/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time548ms−74ms
first ⅓ avg 622ms → last ⅓ avg 548ms
Headshot accuracy14.8%−1.5%
first ⅓ avg 16.3% → last ⅓ avg 14.8%

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

0.12Best rating — ancient 13–8
131Biggest win — cache
7Longest win streak
L3Current streak
716In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 89% over 9infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C1761135%-0.01
mirageA169756%-0.00
infernoD1641225%-0.02
anubisC145936%-0.01
cacheS118373%0.01
nukeS98189%0.02
ancientA95456%0.01
poseidon3030%0.01
debris21150%-0.01
vertigo110100%0.03
eldorado1010%-0.16
overpass110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,829Lifetime kills
0.76K/D
1,473Matches
40.5%Match win rate
34.5%Headshot %
0.7%Shot accuracy
2,231MVPs
478Hours (in match)
1,247Bombs planted
347Bombs defused

Most-used weapons

Lifetime map wins

2,172inferno
1,950dust2
1,409nuke
498vertigo
41train
21office
6safehouse
1ar_shoots

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.

15.5%Headshot accuracy
28.7%Accuracy (enemy spotted)
30.1%Spray accuracy
70.0%Counter-strafing
11.0°Preaim
551msReaction time
30.1%T opening success
56.7%CT opening success
0.41Enemies flashed / flash
2.2%Flash assists
6.42HE damage / grenade
7.26Flashes / 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 0.4053 — 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 30.1125% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0224%27 Aug
dust26–13-0.0614%26 Aug
dust210–130.0316%26 Aug
inferno15–150.0016%26 Aug
mirage13–70.0112%26 Aug
cache13–110.0219%26 Aug
anubis15–15-0.0111%26 Aug
mirage13–80.0113%25 Aug
anubis3–13-0.087%25 Aug
inferno11–13-0.062%25 Aug
cache13–100.0110%25 Aug
dust21–13-0.0030%25 Aug
dust28–13-0.0210%25 Aug
mirage8–13-0.0422%25 Aug
nuke13–90.0133%24 Aug
cache11–130.0013%24 Aug
anubis13–60.025%24 Aug
ancient10–13-0.0018%24 Aug
inferno5–9-0.0314%24 Aug
inferno9–13-0.0317%23 Aug
mirage1–13-0.0710%21 Aug
dust213–6-0.0117%21 Aug
anubis11–13-0.0511%21 Aug
inferno8–8-0.0310%20 Aug
vertigo9–40.0315%18 Aug
debris8–8-0.090%10 Aug
inferno3–9-0.1012%10 Aug
cache13–70.0523%26 Jul
ancient16–12-0.0516%26 Jul
poseidon7–90.0419%26 Jul
mirage14–16-0.0323%26 Jul
nuke13–8-0.0621%26 Jul
mirage13–4-0.035%26 Jul
anubis13–80.029%25 Jul
mirage13–7-0.0018%24 Jul
debris9–70.0813%24 Jul
dust213–100.0415%24 Jul
ancient13–80.0513%24 Jul
ancient14–160.0214%23 Jul
dust213–8-0.0411%23 Jul
dust25–13-0.0745%23 Jul
anubis11–13-0.039%23 Jul
cache13–100.0120%23 Jul
cache13–11-0.0113%23 Jul
inferno3–13-0.0611%23 Jul
mirage13–80.0126%22 Jul
ancient13–4-0.0219%22 Jul
mirage10–130.0118%22 Jul
cache13–1-0.0411%22 Jul
inferno16–130.0414%21 Jul
nuke13–110.0320%21 Jul
dust26–13-0.0412%21 Jul
cache10–130.0117%20 Jul
anubis5–13-0.033%20 Jul
ancient9–13-0.0019%20 Jul
inferno11–13-0.0310%20 Jul
ancient13–5-0.034%20 Jul
mirage13–90.0211%20 Jul
cache13–5-0.007%20 Jul
eldorado3–9-0.169%19 Jul
cache13–20.0213%19 Jul
inferno13–9-0.0414%19 Jul
anubis13–9-0.038%19 Jul
dust213–11-0.0213%19 Jul
dust213–60.0110%19 Jul
cache11–130.0011%19 Jul
nuke13–30.0412%19 Jul
mirage13–80.0416%18 Jul
mirage10–130.0328%18 Jul
dust28–130.0013%18 Jul
inferno5–9-0.0440%4 Jul
overpass9–50.0816%4 Jul
anubis3–13-0.037%3 Jul
inferno8–13-0.019%2 Jul
poseidon7–90.0431%2 Jul
mirage13–5-0.0114%2 Jul
dust27–13-0.0111%2 Jul
inferno14–16-0.0315%1 Jul
dust29–13-0.0115%1 Jul
nuke13–7-0.0120%1 Jul
anubis16–130.0311%1 Jul
nuke13–40.0716%1 Jul
nuke11–130.0214%1 Jul
dust213–16-0.0111%1 Jul
mirage3–13-0.0317%1 Jul
anubis3–13-0.048%1 Jul
dust213–10.0618%1 Jul
nuke13–30.0136%30 Jun
ancient11–13-0.0415%30 Jun
inferno11–10.0829%30 Jun
anubis13–60.0413%30 Jun
dust214–16-0.026%27 Jun
inferno13–110.006%26 Jun
anubis11–130.0213%26 Jun
anubis3–13-0.0113%26 Jun
nuke13–110.0721%26 Jun
mirage13–90.0613%26 Jun
poseidon8–8-0.0413%26 Jun
ancient13–80.1215%25 Jun
inferno14–16-0.0115%25 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 →