gigli

gigli — CS2 Stats

76561199402755450[U:1:1442489722]Steam profile ↗✓ No bans

820Tracked matches47%Win rate2022Tracked since
2,978Hours in CS28Hrs last 2 wks
CSDB Rating5.7 SolidSupport
CSDB Leaderboard#78685 of 237626 tracked
WingmanGold Nova II
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 15 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,999 +8 18 May2 Jul · 12 days played
18,05520,000peak 20,00018 May2 Jul
20,000Peak Premier in tracked matches
53Days played since 2026-05-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim62
Positioning58
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54451Last 10054%Win rateLWWWLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · +36ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 568ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 550ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.2
Utility6.4
Positioning5.8
Opening Duels4.0
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 80% playstyle similarity

Most alike: utility contribution, 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. 572ms 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

Aim6.2
Positioning5.8
Utility6.4
Mechanics6.7
Opening Duels3.0
Win Impact3.9

Composite 5.7/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time576ms−43ms
first ⅓ avg 618ms → last ⅓ avg 576ms
Headshot accuracy19.6%−3.0%
first ⅓ avg 22.5% → last ⅓ avg 19.6%

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.

Personal bests

0.11Best match rating · 13–5 · nuke, 1 Jul
41%Best headshot accuracy · 13–2 · dust2, 3 Jun
422msFastest reaction time · 7–13 · inferno, 4 Jun
13–2Biggest win · nuke, 18 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
910In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 74% over 31anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S3123874%0.00
ancientA1811761%-0.01
nukeB136746%0.02
anubisD134931%-0.02
infernoC125742%0.01
mirageC114736%0.01
cache110100%0.05
overpass1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,979Lifetime kills
1.07K/D · Top 50% of tracked players
3,272Matches
41.7%Match win rate
48.9%Headshot % · Top 50% of tracked players
8.9%Shot accuracy
7,499MVPs
1,326Hours (in match)
3,426Bombs planted
878Bombs defused

Most-used weapons

AK-4726,499
AWP10,392
MP91,268
MAC-101,232
Knife1,102

Lifetime map wins

7,627inferno
6,086dust2
2,157nuke
1,269vertigo
214train
107office
81italy
28lake

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

Faceit stats

Combat

50Matches
54%Win rate
1.05Avg K/D
70.0ADR
51%Headshot %

Clutches & streaks

35%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21547%0.9914.5
Ancient875%0.9118.0
Nuke5100%1.2814.4
Anubis450%1.0213.3
Mirage30%0.9012.0
Inferno2100%1.1218.0

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.

19.7%Headshot accuracy
29.8%Accuracy (enemy spotted)
32.3%Spray accuracy
80.2%Counter-strafing
10.0°Preaim
572msReaction time
35.1%T opening success
49.2%CT opening success
0.50Enemies flashed / flash
16.4%Flash assists
9.30HE damage / grenade
5.85Flashes / 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. 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 0.4995 — below the 0.5 mark we flag

    Grenade Lineups
  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 35.0534% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0715%19 Sept
ancient13–11-0.0117%19 Sept
nuke13–2-0.0117%18 Sept
nuke13–40.0538%18 Sept
mirage7–13-0.0717%8 Sept
ancient8–13-0.0320%8 Sept
anubis4–13-0.0411%2 Sept
ancient9–13-0.0113%2 Sept
dust213–3-0.0211%27 Aug
anubis13–8-0.0218%27 Aug
dust213–60.0221%26 Aug
dust213–110.0026%25 Aug
nuke10–13-0.0123%22 Aug
dust213–110.0518%22 Aug
anubis11–13-0.0413%21 Aug
dust213–110.0618%21 Aug
dust29–13-0.0620%17 Aug
ancient13–110.0318%16 Aug
ancient10–13-0.0621%16 Aug
anubis9–13-0.0527%16 Aug
ancient13–100.0221%14 Aug
dust216–130.0026%13 Aug
dust211–130.0111%12 Aug
dust213–8-0.0116%5 Aug
anubis11–130.0224%3 Aug
nuke5–130.0021%3 Aug
inferno4–130.0127%1 Aug
nuke11–130.0220%1 Aug
cache13–100.0522%1 Aug
ancient10–130.0024%25 Jul
anubis9–13-0.0713%25 Jul
anubis12–16-0.0327%25 Jul
ancient13–80.0015%25 Jul
anubis2–13-0.0316%25 Jul
ancient13–3-0.0625%22 Jul
dust216–13-0.0311%18 Jul
inferno9–3-0.0228%15 Jul
anubis16–130.0023%14 Jul
nuke7–130.0220%14 Jul
ancient9–13-0.0520%11 Jul
mirage16–130.0114%11 Jul
dust20–13-0.1028%10 Jul
ancient7–130.0123%9 Jul
anubis13–60.0411%3 Jul
dust213–6-0.0222%3 Jul
dust213–80.0420%2 Jul
inferno13–110.0416%1 Jul
dust213–30.0334%1 Jul
nuke13–50.1124%1 Jul
mirage5–130.1022%30 Jun
dust213–9-0.0124%25 Jun
mirage15–150.0419%24 Jun
ancient13–90.0320%24 Jun
inferno4–130.0115%23 Jun
nuke13–80.0534%19 Jun
dust29–13-0.0321%19 Jun
ancient13–40.0522%18 Jun
anubis13–70.0516%18 Jun
dust213–80.0413%18 Jun
anubis6–13-0.0214%18 Jun
ancient11–13-0.0517%17 Jun
dust213–90.0137%17 Jun
dust26–13-0.0821%17 Jun
ancient13–40.0119%13 Jun
mirage10–13-0.0324%11 Jun
overpass4–13-0.0319%11 Jun
dust213–90.0322%11 Jun
dust213–70.0126%10 Jun
anubis11–13-0.057%6 Jun
dust213–60.0114%6 Jun
inferno7–13-0.0218%4 Jun
dust28–130.0133%4 Jun
nuke11–13-0.0332%4 Jun
dust213–9-0.0320%4 Jun
ancient13–8-0.0329%4 Jun
dust213–20.0741%3 Jun
dust216–14-0.0428%3 Jun
inferno13–50.0618%3 Jun
nuke0–13-0.020%3 Jun
ancient13–50.0124%2 Jun
nuke13–70.0118%30 May
mirage13–70.0422%30 May
inferno8–130.0520%29 May
mirage7–13-0.0226%28 May
dust213–70.0329%28 May
mirage11–13-0.0531%28 May
ancient13–9-0.0222%27 May
mirage13–80.0125%27 May
dust210–130.0025%27 May
dust23–13-0.0517%26 May
mirage8–130.0219%22 May
inferno11–130.0119%21 May
nuke8–13-0.0213%20 May
nuke13–110.0332%18 May
dust231–270.0621%16 May
inferno13–11-0.0037%16 May
inferno6–130.0524%16 May
inferno13–100.0320%16 May
dust213–80.0522%15 May
mirage16–120.0414%15 May

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 →