Gilf Manor

Gilf Manor — CS2 Stats

76561198308426824[U:1:348161096]Steam profile ↗✓ No bans

354Tracked matches34%Win rate2025Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim49
Positioning43
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY35596Last 10035%Win rateLWLWWWWTLL

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

Player DNA

Aim4.9
Aggression4.6
Utility5.1
Positioning4.3
Opening Duels0.8
Clutch0.0

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 82% playstyle similarity

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

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. 606ms 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

Aim4.9
Positioning4.3
Utility5.1
Mechanics5.0
Opening Duels0.8
Win Impact0.0

Composite 3.9/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time596ms−67ms
first ⅓ avg 663ms → last ⅓ avg 596ms
Headshot accuracy13.0%−0.1%
first ⅓ avg 13.1% → last ⅓ avg 13.0%

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

0.15Best rating — ancient 13–1
131Biggest win — ancient
4Longest win streak
73In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 56% over 9cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC27111641%-0.02
dust2D1961332%-0.05
infernoC135838%-0.07
nukeB126650%-0.01
ancientA95456%-0.00
cacheD82625%-0.05
vertigo4040%-0.03
train4040%-0.03
overpass3030%-0.03
anubis1010%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.64Avg K/D
79.5ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

13.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.6%Spray accuracy
72.5%Counter-strafing
10.1°Preaim
606msReaction time
34.6%T opening success
32.1%CT opening success
0.64Enemies flashed / flash
4.8%Flash assists
9.56HE damage / grenade
7.75Flashes / 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 12.9736% — below the 15% mark we flag

    Aim Training
  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 34.5623% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0414%26 Jul
nuke13–8-0.015%26 Jul
cache4–13-0.0727%26 Jul
ancient13–3-0.1117%26 Jul
mirage13–50.0118%2 Jul
ancient8–20.1122%2 Jul
ancient13–10.1517%6 Jun
mirage15–150.0118%6 Jun
inferno0–9-0.1818%21 May
nuke8–13-0.065%15 May
nuke3–130.000%14 May
ancient14–160.0122%14 May
dust216–14-0.048%14 May
cache13–11-0.0411%13 May
inferno9–40.0824%13 May
inferno4–9-0.260%12 May
inferno6–9-0.154%12 May
mirage13–90.0214%12 May
vertigo5–13-0.107%11 May
cache7–13-0.0413%11 May
nuke1–13-0.0311%7 May
dust26–13-0.066%4 May
inferno7–13-0.0519%4 May
mirage10–13-0.0213%4 May
dust22–13-0.0726%4 May
cache4–13-0.109%1 May
cache10–13-0.067%1 May
ancient5–13-0.076%1 May
cache9–00.056%1 May
cache5–13-0.0310%29 Apr
cache2–13-0.0935%29 Apr
ancient9–13-0.036%28 Apr
train7–13-0.0210%28 Apr
mirage13–8-0.0312%28 Apr
dust28–13-0.0215%25 Apr
mirage8–13-0.064%25 Apr
dust23–13-0.1117%25 Apr
mirage13–11-0.027%25 Apr
train4–13-0.0926%25 Apr
vertigo7–13-0.0612%25 Apr
inferno9–13-0.0120%25 Apr
vertigo3–130.0415%25 Apr
ancient13–50.0319%19 Apr
nuke6–13-0.0815%19 Apr
ancient14–16-0.0513%18 Apr
dust22–13-0.0619%18 Apr
vertigo12–12-0.009%10 Apr
mirage13–80.0219%7 Apr
mirage3–13-0.080%4 Apr
anubis5–13-0.0319%4 Apr
dust23–13-0.110%4 Apr
mirage2–13-0.095%4 Apr
mirage4–13-0.0912%31 Mar
mirage10–13-0.0117%31 Mar
nuke10–13-0.0310%31 Mar
dust20–13-0.0311%27 Mar
ancient13–11-0.0713%27 Mar
inferno13–11-0.0818%21 Mar
mirage13–11-0.0420%21 Mar
dust215–15-0.059%16 Mar
mirage6–130.0017%16 Mar
dust29–13-0.0416%15 Mar
nuke13–30.0312%15 Mar
nuke13–5-0.056%15 Mar
mirage7–13-0.076%28 Feb
dust213–7-0.0321%28 Feb
dust26–13-0.094%25 Feb
dust213–8-0.078%25 Feb
mirage13–3-0.058%20 Dec
inferno4–13-0.0515%20 Dec
mirage3–13-0.069%7 Dec
inferno6–13-0.0913%6 Oct
nuke13–70.0917%6 Oct
inferno9–13-0.0116%14 Aug
inferno13–8-0.0510%3 Aug
dust213–40.0115%3 Aug
train10–13-0.039%1 Aug
mirage13–20.0322%30 Jul
overpass7–13-0.0515%30 Jul
dust213–100.0319%24 Jul
dust22–13-0.0811%24 Jul
mirage14–16-0.056%24 Jul
nuke13–90.037%23 Jul
overpass2–7-0.0011%23 Jul
mirage15–150.0020%23 Jul
dust29–130.013%23 Jul
mirage4–130.019%22 Jul
inferno13–2-0.0221%22 Jul
mirage13–9-0.0112%22 Jul
nuke8–13-0.0213%22 Jul
dust213–8-0.0221%21 Jul
overpass5–13-0.0514%21 Jul
dust22–13-0.0117%21 Jul
mirage12–12-0.0113%21 Jul
mirage13–80.0216%21 Jul
train12–120.039%21 Jul
inferno13–8-0.0711%20 Jul
mirage4–13-0.0019%20 Jul
mirage13–60.0712%19 Jul
nuke13–11-0.0314%19 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 →