Gandoof_oldieAF

Gandoof_oldieAF — CS2 Stats

76561198037641478[U:1:77375750]Steam profile ↗✓ No bans

3,573Tracked matches68%Win rate2022Tracked since
CSDB Rating5.1 Developing
Premier CS Rating12,042Blue band · top ~44.1% of ranked players (population est.)
CSDB Leaderboard#22231 of 31924 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGGandoof_oldieAFFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,042 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY513910Last 10051%Win rateLWTLWWWLTT

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

Player DNA

Aim4.2
Aggression8.3
Utility6.1
Positioning5.7
Opening Duels3.5
Clutch4.8

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 604ms 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

Aim4.2
Positioning5.7
Utility6.1
Mechanics4.5
Opening Duels3.5
Win Impact10.0

Composite 5.1/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time620ms−4ms
first ⅓ avg 624ms → last ⅓ avg 620ms
Headshot accuracy13.3%−0.1%
first ⅓ avg 13.3% → last ⅓ avg 13.3%

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

0.22Best rating — inferno 9–2
130Biggest win — mirage
6Longest win streak
78In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 86% over 7anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%0.01
dust2A23131057%-0.00
nukeC104640%-0.03
mirageS97278%0.01
cacheC83538%-0.02
ancientS76186%0.01
anubisD61517%0.00
debris330100%0.01
train220100%-0.00
vertigo21150%0.05
overpass2020%-0.07
office21150%-0.00
poseidon1010%-0.08
eldorado1010%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

44Matches
55%Win rate
1.09Avg K/D
81.2ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%1.0013.6
Ancient771%1.3118.7
Vertigo771%0.9816.1
Inferno540%1.3612.8
Nuke540%1.1316.8
Anubis250%1.5015.5
Overpass1100%2.3819.0
Train10%0.6210.0

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.

13.1%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.4%Spray accuracy
70.4%Counter-strafing
11.6°Preaim
604msReaction time
44.1%T opening success
43.5%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
10.26HE damage / grenade
12.40Flashes / 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 13.1041% — below the 15% mark we flag

    Aim Training
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke1–9-0.188%29 Aug
inferno9–60.1112%29 Aug
inferno8–80.0613%29 Aug
inferno6–13-0.069%29 Aug
cache13–70.0521%29 Aug
dust213–110.0121%29 Aug
inferno13–3-0.0418%27 Aug
dust28–13-0.0610%27 Aug
cache12–120.0019%27 Aug
cache12–12-0.056%26 Aug
inferno11–130.019%25 Aug
mirage13–30.0920%25 Aug
inferno9–6-0.115%25 Aug
inferno13–40.116%25 Aug
inferno4–9-0.0814%25 Aug
inferno7–90.0028%25 Aug
poseidon7–9-0.088%25 Aug
dust216–13-0.0111%24 Aug
mirage16–140.0118%24 Aug
dust29–13-0.009%23 Aug
ancient13–9-0.014%23 Aug
dust27–13-0.038%22 Aug
nuke4–9-0.247%22 Aug
inferno9–70.0219%22 Aug
nuke13–9-0.0116%19 Aug
dust213–9-0.0014%19 Aug
mirage13–00.010%17 Aug
dust213–6-0.0826%17 Aug
nuke13–6-0.0118%17 Aug
dust211–130.0221%16 Aug
nuke13–50.1614%16 Aug
dust213–50.0613%16 Aug
mirage13–50.1413%16 Aug
ancient6–13-0.076%16 Aug
anubis11–13-0.009%15 Aug
inferno6–13-0.0011%15 Aug
ancient13–90.0514%15 Aug
mirage13–90.0311%15 Aug
inferno13–60.1413%15 Aug
train13–50.0213%12 Aug
train13–7-0.034%12 Aug
cache13–6-0.0423%11 Aug
inferno2–13-0.0513%11 Aug
inferno2–13-0.067%11 Aug
nuke9–13-0.0017%11 Aug
mirage2–13-0.089%10 Aug
ancient13–10-0.064%10 Aug
nuke2–13-0.0314%10 Aug
debris9–1-0.0717%7 Aug
inferno9–30.096%7 Aug
inferno9–20.229%7 Aug
inferno9–40.1718%7 Aug
inferno4–9-0.126%7 Aug
vertigo12–120.0018%29 Jul
inferno12–12-0.0118%29 Jul
vertigo13–90.1014%29 Jul
mirage5–13-0.063%29 Jul
cache11–13-0.046%25 Jul
mirage13–9-0.0210%24 Jul
dust213–90.0325%24 Jul
anubis12–120.0011%24 Jul
anubis9–13-0.0213%23 Jul
anubis5–13-0.0210%22 Jul
anubis7–130.065%22 Jul
inferno15–15-0.078%21 Jul
dust210–13-0.1011%21 Jul
dust28–130.0411%17 Jul
dust213–30.038%15 Jul
dust26–130.038%14 Jul
cache7–13-0.0322%12 Jul
inferno12–120.0224%12 Jul
eldorado8–80.0510%10 Jul
debris9–10.1530%10 Jul
overpass1–9-0.164%10 Jul
debris9–4-0.0517%10 Jul
nuke9–50.1419%8 Jul
office13–90.016%8 Jul
office12–12-0.0214%8 Jul
dust211–13-0.0115%6 Jul
overpass5–130.017%5 Jul
dust213–8-0.058%5 Jul
ancient13–70.0811%5 Jul
anubis13–11-0.029%5 Jul
mirage13–11-0.017%2 Jul
dust210–13-0.0414%2 Jul
cache7–13-0.0310%1 Jul
cache13–80.0111%1 Jul
nuke7–13-0.0415%27 Jun
inferno9–00.0318%27 Jun
ancient13–50.0812%27 Jun
dust213–100.0112%25 Jun
nuke6–13-0.0418%24 Jun
dust213–110.0212%24 Jun
dust28–13-0.0014%24 Jun
ancient13–11-0.0016%23 Jun
dust213–80.0412%23 Jun
dust213–70.0310%22 Jun
dust213–60.0010%22 Jun
inferno7–9-0.0620%21 Jun
inferno1–9-0.1717%21 Jun

Match data via Leetify.

Recent teammates

Milestones

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