Gigelicious

Gigelicious — CS2 Stats

SE76561197961498793[U:1:1233065]Steam profile ↗✓ No bans

2,333Tracked matches47%Win rate2020Tracked since
3,936Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating23,922Top 25% of 185,711 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#30315 of 232979 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,922 → 23,922
+6Tracked matches · now 2,333
0.0ppWin rate · 46.7% → 46.7%
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. 32 days played since 2 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,922 +1,205 22 Jun31 Aug · 7 days played
21,92523,922peak 23,92222 Jun31 Aug
24,041Peak Premier in tracked matches
2,078Highest Faceit ELO seen on CSDB
32Days played since 2026-06-02

Premier CS Rating

  • At peak — 23,922
  • +356 over 30 days · steady
  • Next: Red band at 25,000 1,078 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=13,320), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate51.6%48.3%51.0%meets
Shot accuracy17.1%13.2%13.7%above
Kill/death ratio1.451.071.09above
Match win rate65.6%46.9%48.4%above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGGigeliciousFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,922 · Pink bandPEAK ELO2,078csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning64
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLLLLWWWLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −1.9pp headshot accuracy · −5ms reaction

Win rate −10pp 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

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 480ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 483ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 485ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim7.8
Utility6.1
Positioning6.4
Opening Duels4.4
Clutch4.2

Strong CT-side opener

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 67% 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

Aim7.8
Positioning6.4
Utility6.1
Mechanics3.8
Opening Duels3.6
Win Impact3.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time511ms−4ms
first ⅓ avg 515ms → last ⅓ avg 511ms
Headshot accuracy26.6%+3.4%
first ⅓ avg 23.2% → last ⅓ avg 26.6%

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

0.13Best match rating · 13–5 · dust2, 25 Jul
44%Best headshot accuracy · 15–15 · anubis, 22 Jun
328msFastest reaction time · 13–3 · inferno, 19 Jul
13–3Biggest win · inferno, 19 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
109In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 34% over 32
MapGradePlayedRecordWin rateAvg rating
infernoD32112134%0.01
dust2B2091145%0.01
cacheB189950%0.01
nukeA159660%0.04
ancientS64267%0.01
anubisC52340%-0.01
mirage21150%-0.01
office1010%0.02
overpass1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (34% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

282,473Lifetime kills
1.45K/D · Top 10% of Level 9 players
16,636Matches
65.6%Match win rate · Top 5% of Level 9 players
51.6%Headshot % · Top 50% of Level 9 players
17.1%Shot accuracy · Top 25% of Level 9 players
27,610MVPs
3,936Hours (in match)
7,708Bombs planted
2,021Bombs defused

Most-used weapons

AWP63,257
AK-4748,669
Glock-1812,252
P2509,866
Knife6,093
P905,797
Tec-95,236

Lifetime map wins

26,486inferno
11,118dust2
8,556nuke
5,366aztec
3,730train
2,248vertigo
1,076cbble
1,050lake

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

Faceit stats

Combat

1,536Matches
51%Win rate
1.19Avg K/D
77.5ADR
33%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno6951%1.2215.9
Nuke5368%1.4118.4
Ancient4445%1.0815.6
Anubis4441%1.2716.6
Dust22446%1.1415.5
Cache2268%1.3017.3
Overpass714%0.9813.6
Mirage450%1.5015.0

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.

27.2%Headshot accuracy
33.0%Accuracy (enemy spotted)
38.2%Spray accuracy
67.2%Counter-strafing
8.8°Preaim
520msReaction time
32.0%T opening success
57.1%CT opening success
0.67Enemies flashed / flash
8.9%Flash assists
12.53HE damage / grenade
10.23Flashes / 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 32.0346% — below the 40% mark we flag

Spend your practice time on Inferno

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

34% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0818%5 Sept
dust28–13-0.0421%5 Sept
inferno5–130.0126%5 Sept
dust29–13-0.0118%5 Sept
cache13–11-0.0238%2 Sept
ancient13–70.0520%2 Sept
dust213–9-0.0517%24 Aug
nuke17–190.0323%24 Aug
cache13–50.0425%23 Aug
nuke10–130.0636%12 Aug
inferno13–90.0418%12 Aug
cache13–110.0129%11 Aug
dust211–130.0530%11 Aug
cache13–50.0235%10 Aug
nuke13–90.1332%10 Aug
dust210–13-0.0224%9 Aug
cache11–130.0514%9 Aug
cache13–160.0227%9 Aug
inferno6–13-0.0322%6 Aug
nuke13–110.0229%6 Aug
nuke16–130.0024%6 Aug
inferno9–13-0.0030%6 Aug
dust213–40.0713%5 Aug
cache13–110.0323%5 Aug
nuke23–250.0342%5 Aug
dust213–60.0640%4 Aug
inferno7–13-0.0427%4 Aug
dust210–13-0.0133%3 Aug
dust213–70.0620%3 Aug
inferno10–130.0140%3 Aug
anubis13–5-0.0021%2 Aug
nuke9–13-0.0337%2 Aug
dust213–9-0.0523%2 Aug
cache7–13-0.0412%2 Aug
inferno7–13-0.0226%1 Aug
inferno2–13-0.0819%31 Jul
dust25–13-0.0217%31 Jul
nuke13–11-0.0027%31 Jul
inferno11–130.0430%31 Jul
cache6–13-0.0117%31 Jul
inferno13–11-0.0124%31 Jul
inferno13–80.0033%31 Jul
inferno13–5-0.0135%31 Jul
cache3–130.0526%31 Jul
inferno9–13-0.0730%26 Jul
inferno6–130.0433%26 Jul
dust25–13-0.0125%26 Jul
inferno6–13-0.0436%25 Jul
cache13–90.0318%25 Jul
inferno8–13-0.0617%25 Jul
inferno10–130.0933%25 Jul
dust213–50.1330%25 Jul
ancient13–11-0.0521%20 Jul
anubis4–13-0.0415%20 Jul
inferno7–13-0.0042%20 Jul
nuke13–70.1223%20 Jul
anubis11–130.0021%20 Jul
dust213–90.0829%20 Jul
dust213–110.0317%19 Jul
cache10–13-0.0325%19 Jul
inferno19–15-0.0023%19 Jul
ancient13–80.0824%19 Jul
inferno9–130.0515%19 Jul
inferno13–90.0126%19 Jul
nuke14–16-0.0130%19 Jul
nuke13–110.0328%19 Jul
cache13–11-0.0417%19 Jul
inferno13–30.0526%19 Jul
nuke13–100.0515%16 Jul
inferno16–120.0539%13 Jul
cache8–130.0411%13 Jul
ancient10–13-0.0123%13 Jul
ancient13–80.0224%13 Jul
inferno7–130.0032%13 Jul
inferno7–130.0922%11 Jul
nuke13–10-0.0226%11 Jul
anubis13–8-0.0224%9 Jul
cache10–13-0.076%9 Jul
dust213–80.0124%9 Jul
inferno13–40.0517%9 Jul
ancient10–13-0.0217%6 Jul
inferno9–130.0013%6 Jul
inferno15–150.0216%5 Jul
inferno13–70.0638%5 Jul
nuke13–70.0723%5 Jul
inferno13–160.0314%5 Jul
inferno3–13-0.0829%5 Jul
office12–120.0233%24 Jun
nuke7–130.0424%23 Jun
anubis15–150.0144%22 Jun
inferno13–80.0619%22 Jun
dust214–160.0220%18 Jun
mirage11–13-0.0213%18 Jun
mirage13–100.0021%15 Jun
cache10–13-0.0129%15 Jun
cache13–30.0831%15 Jun
dust29–130.0425%14 Jun
dust210–13-0.0322%14 Jun
cache13–70.0620%2 Jun
overpass10–130.0324%2 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 →