Gilly — CS2 Stats

76561198070008742[U:1:109743014]

1,159Tracked matches58%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGGillyFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning54
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateTTWWTWTWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression6.6
Utility3.9
Positioning5.4
Opening Duels2.9

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 681ms 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

Aim6.8
Positioning5.4
Utility3.9
Mechanics8.3
Opening Duels2.9
Win Impact7.8

Composite 6.0/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time674ms−13ms
first ⅓ avg 687ms → last ⅓ avg 674ms
Headshot accuracy17.5%−5.6%
first ⅓ avg 23.1% → last ⅓ avg 17.5%

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 — anubis 10–13
131Biggest win — inferno
5Longest win streak
95In matches decided by ≤2 rounds
10Overtime games

Map breakdown

officeBest map · 60% over 5mirageWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%0.01
dust2A1810856%0.02
infernoB178947%0.01
ancientB105550%0.03
overpassA95456%0.02
trainC73443%0.01
officeA53260%0.03
nuke41325%-0.02
anubis41325%0.08
vertigo110100%-0.02
agency1010%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

162Matches
57%Win rate
1.24Avg K/D
ADR
46%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3037%0.9714.5
Vertigo1464%0.9816.2
Ancient1258%1.1716.5
Inferno1040%1.0414.7
Anubis875%0.9414.4
Overpass580%0.8314.2
Nuke333%1.0617.3

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.

17.3%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.6%Spray accuracy
87.3%Counter-strafing
10.1°Preaim
681msReaction time
40.7%T opening success
42.6%CT opening success
0.64Enemies flashed / flash
6.1%Flash assists
11.66HE damage / grenade
8.52Flashes / match

Recommended for you

Spend your practice time on Mirage

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0114%19 Feb
dust215–150.0325%17 Feb
mirage4–40.0017%26 Nov
dust213–30.0124%17 Nov
inferno15–150.0212%7 Nov
inferno13–10.0612%6 Nov
mirage15–15-0.0116%5 Nov
mirage13–70.0338%4 Nov
overpass13–7-0.0814%1 Nov
ancient10–13-0.0310%18 Oct
ancient14–160.0211%18 Oct
mirage15–15-0.0018%16 Oct
overpass13–70.1514%16 Oct
overpass13–90.0113%15 Oct
dust213–10-0.0217%11 Oct
mirage10–130.0219%11 Oct
inferno7–130.0319%10 Oct
ancient13–70.0119%10 Oct
nuke8–13-0.0120%8 Oct
inferno13–10.0318%8 Oct
mirage10–130.0119%7 Oct
overpass16–140.0718%7 Oct
dust213–110.0821%6 Oct
dust29–13-0.0217%3 Oct
dust211–13-0.0519%1 Oct
dust213–110.0013%1 Oct
inferno15–150.0420%27 Sept
nuke13–110.0114%25 Sept
overpass9–130.0620%24 Sept
train13–160.0414%24 Sept
inferno15–150.0323%23 Sept
mirage6–13-0.0322%22 Sept
inferno2–13-0.0212%22 Sept
dust213–60.0315%19 Sept
ancient10–130.0416%19 Sept
mirage13–100.0211%19 Sept
mirage13–90.0815%19 Sept
inferno6–13-0.069%19 Sept
train4–13-0.0118%18 Sept
train13–7-0.0321%18 Sept
dust28–13-0.0520%18 Sept
ancient9–130.0013%18 Sept
office13–60.0923%18 Sept
inferno13–4-0.0127%18 Sept
inferno6–130.0122%18 Sept
mirage13–70.0123%18 Sept
mirage13–10-0.0023%18 Sept
mirage10–130.0726%17 Sept
mirage7–13-0.0728%17 Sept
dust28–13-0.0329%16 Sept
dust213–70.0129%14 Sept
mirage3–13-0.0133%14 Sept
mirage10–13-0.0114%13 Sept
overpass8–13-0.0635%9 Sept
mirage6–13-0.0220%28 Aug
ancient13–60.0712%28 Aug
dust213–110.0421%23 Aug
train11–130.0017%20 Aug
anubis10–130.1530%20 Aug
office5–13-0.0222%20 Aug
anubis9–130.1213%20 Aug
nuke2–13-0.0622%19 Aug
mirage13–70.0620%19 Aug
overpass7–13-0.0428%19 Aug
inferno13–110.0327%19 Aug
ancient13–60.0120%19 Aug
ancient13–60.0921%16 Aug
office13–50.0228%16 Aug
inferno3–13-0.0320%16 Aug
dust28–13-0.0119%16 Aug
dust213–50.1328%16 Aug
ancient13–10.0822%16 Aug
inferno13–100.0722%13 Aug
anubis11–13-0.0219%13 Aug
inferno9–13-0.0224%13 Aug
inferno13–9-0.0334%6 Aug
dust212–120.0229%6 Aug
mirage13–110.0221%6 Aug
mirage5–13-0.0119%6 Aug
overpass11–130.0116%6 Aug
mirage10–130.1025%2 Aug
office7–130.0331%2 Aug
ancient8–13-0.0229%2 Aug
vertigo13–5-0.0216%2 Aug
inferno13–90.0836%1 Aug
mirage2–13-0.0315%1 Aug
overpass13–60.0222%1 Aug
dust213–20.0216%1 Aug
dust24–130.0511%31 Jul
inferno13–8-0.0126%31 Jul
mirage13–90.0721%31 Jul
office13–50.0424%31 Jul
train13–50.0133%31 Jul
dust213–110.0920%17 Jul
mirage12–12-0.0429%17 Jul
anubis13–80.0715%17 Jul
agency7–130.0620%15 Jul
train13–60.0832%14 Jul
mirage13–60.0124%14 Jul
train5–13-0.0319%14 Jul

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 →