Pauline Hanson

Pauline Hanson — CS2 Stats

AU76561198927192464[U:1:966926736]Steam profile ↗✓ No bans

2,579Tracked matches39%Win rate2020Tracked since
3,795Hours in CS1Hrs last 2 wks
CSDB Rating3.3 Learning
Premier CS Rating15,914Purple band · top ~24.8% of ranked players (population est.)
CSDB Leaderboard#9325 of 15008 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPauline HansonFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,914 · Purple bandcsdb.gg/stats

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Performance scores

Aim36
Positioning41
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY41554Last 10041%Win rateLLTWLWLLWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim3.6
Aggression4.0
Utility5.6
Positioning4.1
Opening Duels0.1
Clutch3.6

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.6
Positioning4.1
Utility5.6
Mechanics2.8
Opening Duels0.4
Win Impact1.4

Composite 3.3/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time585ms+21ms
first ⅓ avg 564ms → last ⅓ avg 585ms
Headshot accuracy17.3%−0.2%
first ⅓ avg 17.5% → last ⅓ avg 17.3%

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

0.11Best rating — inferno 13–4
131Biggest win — nuke
5Longest win streak
L2Current streak
910In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 71% over 7anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%-0.03
ancientD2061430%-0.04
dust2B178947%-0.01
infernoC145936%-0.02
cacheA95456%-0.00
nukeS75271%-0.04
anubisD71614%-0.02
train21150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,328Lifetime kills
0.93K/D
4,801Matches
49.1%Match win rate · Top 50% of tracked players
38.7%Headshot %
12.4%Shot accuracy · Top 50% of tracked players
11,535MVPs
2,157Hours (in match)
6,091Bombs planted
1,212Bombs defused

Most-used weapons

AK-4718,695
AWP18,005
MAC-105,117
P2503,451
MP93,088
SSG 082,296

Lifetime map wins

11,600inferno
11,024dust2
3,269vertigo
2,941nuke
1,618train
632lake
189cbble
10office

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

Faceit stats

Combat

1,505Matches
48%Win rate
1.02Avg K/D
78.2ADR
32%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2635%0.7611.8
Dust21540%0.9012.7
Anubis1457%0.7712.9
Inferno1050%0.9812.7
Vertigo617%0.6810.2
Nuke475%0.9711.0
Ancient3100%0.7811.0

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.

16.9%Headshot accuracy
25.0%Accuracy (enemy spotted)
25.7%Spray accuracy
62.6%Counter-strafing
8.2°Preaim
581msReaction time
27.3%T opening success
33.1%CT opening success
0.56Enemies flashed / flash
4.1%Flash assists
9.53HE damage / grenade
12.89Flashes / 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 27.309% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–160.0317%22 Aug
mirage5–13-0.0523%2 Aug
mirage15–15-0.0310%2 Aug
mirage13–60.0314%2 Aug
ancient9–13-0.0810%2 Aug
nuke13–4-0.0013%2 Aug
anubis10–13-0.0417%1 Aug
dust28–13-0.0018%1 Aug
ancient13–100.0112%1 Aug
mirage13–2-0.0415%1 Aug
inferno2–13-0.0519%1 Aug
mirage9–130.0214%31 Jul
inferno10–13-0.0716%31 Jul
ancient14–160.0212%26 Jul
mirage13–2-0.0518%26 Jul
dust29–13-0.0723%26 Jul
cache13–30.0523%15 Jul
cache15–150.0119%15 Jul
mirage11–13-0.0216%14 Jul
dust213–40.0233%12 Jul
anubis5–130.0119%12 Jul
mirage1–13-0.0819%12 Jul
ancient3–13-0.0927%12 Jul
cache7–13-0.0821%12 Jul
cache13–9-0.0213%12 Jul
ancient13–11-0.0511%12 Jul
ancient13–11-0.0617%12 Jul
dust28–13-0.0126%12 Jul
cache13–8-0.018%11 Jul
mirage5–13-0.0120%11 Jul
dust215–15-0.0118%11 Jul
cache11–130.0616%11 Jul
nuke13–10-0.0517%11 Jul
cache13–80.0413%11 Jul
cache13–11-0.0028%11 Jul
dust213–5-0.0024%11 Jul
dust213–8-0.0321%11 Jul
cache3–13-0.077%11 Jul
nuke13–10-0.0815%21 Jun
ancient8–130.0119%21 Jun
mirage13–110.0224%21 Jun
dust25–130.0223%21 Jun
inferno7–13-0.0314%21 Jun
ancient15–15-0.0417%20 Jun
ancient5–13-0.0526%20 Jun
mirage13–60.0115%19 Jun
mirage13–10-0.0420%19 Jun
mirage3–13-0.0526%19 Jun
inferno1–13-0.0411%14 Jun
train13–110.0322%14 Jun
dust27–13-0.038%14 Jun
mirage13–10-0.028%14 Jun
ancient13–10-0.0610%14 Jun
anubis11–13-0.0314%14 Jun
anubis10–13-0.0713%14 Jun
inferno6–13-0.028%14 Jun
ancient9–13-0.0512%14 Jun
dust213–50.0610%24 May
ancient14–16-0.068%23 May
inferno13–40.1114%23 May
nuke6–13-0.0711%23 May
dust214–16-0.0419%23 May
ancient4–13-0.0811%22 May
inferno13–11-0.0313%22 May
mirage4–13-0.0517%22 May
mirage14–16-0.0316%22 May
nuke7–13-0.044%19 May
mirage6–13-0.0518%19 May
ancient2–130.0014%19 May
anubis13–6-0.0231%19 May
mirage5–13-0.0717%19 May
dust213–11-0.0529%19 May
ancient5–13-0.075%17 May
ancient8–13-0.0311%17 May
inferno11–13-0.036%16 May
anubis4–13-0.0215%16 May
inferno2–13-0.065%16 May
nuke13–80.0010%16 May
mirage16–12-0.0216%15 May
inferno2–13-0.0611%15 May
inferno9–13-0.0019%15 May
ancient13–10-0.0421%14 May
dust213–10-0.0418%14 May
mirage2–13-0.1028%14 May
dust214–160.0314%14 May
dust212–16-0.0127%14 May
mirage8–130.0122%14 May
mirage13–8-0.0323%13 May
ancient13–2-0.0114%12 May
nuke13–1-0.0521%12 May
inferno13–80.0717%12 May
anubis14–160.0213%12 May
dust213–80.0023%12 May
dust213–40.0129%12 May
train8–130.0315%12 May
inferno16–14-0.0514%12 May
mirage13–6-0.0423%12 May
mirage7–130.0111%10 May
inferno13–110.0120%9 May
ancient9–13-0.0318%9 May

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →