Phimosis Frank

Phimosis Frank — CS2 Stats

NZ76561198065120641[U:1:104854913]Steam profile ↗✓ No bans

855Tracked matches59%Win rate2025Tracked since
CSDB Rating4.3 Developing
Premier CS Rating4,435Grey band · top ~81.2% of ranked players (population est.)
CSDB Leaderboard#10601 of 13898 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGPhimosis FrankPREMIER4,435 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim43
Positioning47
Utility41

0–100 skill scores via Leetify.

Recent form

COLD533611Last 10053%Win rateWLTWLLLLTW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.3
Aggression6.0
Utility4.1
Positioning4.7
Opening Duels1.9

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 80% playstyle similarity

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

Where you differ: lower utility contribution; 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. 591ms 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

Aim4.3
Positioning4.7
Utility4.1
Mechanics5.9
Opening Duels1.9
Win Impact8.1

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time595ms−22ms
first ⅓ avg 617ms → last ⅓ avg 595ms
Headshot accuracy12.2%+0.4%
first ⅓ avg 11.8% → 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.

Highlights

0.12Best rating — mirage 13–1
131Biggest win — mirage
8Longest win streak
42In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 67% over 18infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B28151354%-0.02
mirageS1812667%0.00
nukeC167944%-0.02
cacheB126650%-0.02
vertigoC73443%-0.04
infernoD62433%-0.11
train440100%0.00
ancient31233%-0.00
anubis21150%0.03
overpass21150%-0.03
fachwerk1010%-0.01
boulder110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno 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.

12.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.1%Spray accuracy
76.8%Counter-strafing
11.6°Preaim
591msReaction time
38.8%T opening success
36.1%CT opening success
0.44Enemies flashed / flash
4.2%Flash assists
12.12HE damage / grenade
4.44Flashes / 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 12.1364% — 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 0.4354 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 38.7542% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0717%28 Aug
inferno3–13-0.1124%28 Aug
dust212–120.0318%27 Aug
dust213–7-0.0116%26 Aug
mirage8–13-0.0320%26 Aug
inferno8–13-0.063%23 Aug
anubis10–130.0614%23 Aug
mirage7–13-0.0410%22 Aug
nuke12–120.025%22 Aug
dust213–20.0316%22 Aug
nuke10–13-0.0415%21 Aug
mirage13–100.1018%19 Aug
mirage4–13-0.0015%19 Aug
mirage12–120.0211%18 Aug
dust213–8-0.077%18 Aug
dust23–13-0.059%16 Aug
cache13–7-0.058%16 Aug
train13–7-0.0111%15 Aug
dust22–90.068%15 Aug
nuke5–10.0023%15 Aug
mirage9–13-0.0310%15 Aug
dust213–6-0.048%15 Aug
nuke13–90.0516%15 Aug
anubis13–80.0011%15 Aug
cache7–13-0.0312%15 Aug
dust213–6-0.039%14 Aug
inferno13–7-0.060%14 Aug
dust213–11-0.0310%13 Aug
mirage13–7-0.0715%13 Aug
train13–8-0.0415%12 Aug
mirage13–7-0.0313%12 Aug
cache16–120.0015%11 Aug
nuke13–2-0.013%11 Aug
nuke7–13-0.0015%9 Aug
dust213–8-0.0416%9 Aug
dust213–6-0.047%9 Aug
mirage13–60.0416%9 Aug
mirage13–60.0313%9 Aug
cache7–13-0.1011%8 Aug
nuke13–11-0.0112%8 Aug
train13–8-0.069%8 Aug
dust212–12-0.049%7 Aug
dust213–6-0.0023%5 Aug
vertigo6–13-0.0014%4 Aug
dust29–13-0.0810%4 Aug
cache13–90.0413%4 Aug
vertigo13–10-0.034%2 Aug
dust212–12-0.0114%2 Aug
cache13–10-0.0314%1 Aug
dust213–3-0.0623%1 Aug
vertigo7–3-0.0622%1 Aug
vertigo7–13-0.0111%29 Jul
dust213–6-0.0325%29 Jul
mirage7–13-0.0819%24 Jul
cache3–130.0518%24 Jul
nuke12–12-0.078%22 Jul
dust27–13-0.0622%21 Jul
nuke13–5-0.0120%21 Jul
cache13–100.029%19 Jul
nuke6–13-0.0012%19 Jul
dust26–130.0315%19 Jul
ancient13–70.0518%17 Jul
mirage13–90.0816%17 Jul
dust215–15-0.0010%15 Jul
dust213–90.0314%15 Jul
mirage13–40.077%15 Jul
dust26–130.028%12 Jul
cache11–13-0.0617%11 Jul
dust213–90.0519%11 Jul
train13–20.1117%10 Jul
mirage13–8-0.0512%10 Jul
dust27–13-0.027%10 Jul
dust213–110.029%10 Jul
dust23–13-0.0711%9 Jul
vertigo9–13-0.036%9 Jul
fachwerk12–12-0.0110%9 Jul
boulder13–8-0.048%9 Jul
dust213–3-0.0410%9 Jul
mirage13–70.0111%8 Jul
cache13–9-0.0110%8 Jul
nuke14–160.019%5 Jul
nuke8–13-0.0815%5 Jul
inferno4–9-0.1817%5 Jul
vertigo8–8-0.1211%5 Jul
nuke13–10-0.0111%5 Jul
overpass6–13-0.0435%5 Jul
cache3–13-0.0736%5 Jul
ancient9–13-0.0212%4 Jul
nuke7–2-0.018%4 Jul
nuke2–13-0.048%4 Jul
cache12–12-0.029%4 Jul
ancient6–13-0.029%4 Jul
overpass13–8-0.0315%3 Jul
vertigo13–3-0.057%3 Jul
mirage13–10.129%3 Jul
inferno3–9-0.180%3 Jul
dust212–12-0.0011%2 Jul
nuke7–13-0.030%2 Jul
mirage13–11-0.0410%2 Jul
inferno13–5-0.0414%2 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 →