Geck oLantern

Geck oLantern — CS2 Stats

FM76561198120230711[U:1:159964983]Steam profile ↗✓ No bans

465Tracked matches59%Win rate2022Tracked since
966Hours in CS
CSDB Rating4.7 DevelopingSupport
CSDB Leaderboard#54719 of 250123 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,935 +1,821 27 Apr – 23 Nov · 28 days played
19,09421,935peak 21,93527 Apr23 Nov
21,935Peak Premier in tracked matches
36Days played since 2025-04-27

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 6 Sep 2026 and 6 Oct 2026.

Measured 6 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim44
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateLWLWWWWWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 694ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 664ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 670ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.4
Utility5.1
Positioning4.1
Opening Duels1.2

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 74% 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

T-side openings. Opening success drops from 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim4.4
Positioning4.1
Utility5.1
Mechanics5.6
Opening Duels1.5
Win Impact7.9

Composite 4.7/10 (Developing), 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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time677ms+38ms
first ⅓ avg 639ms → last ⅓ avg 677ms
Headshot accuracy16.7%+4.2%
first ⅓ avg 12.5% → last ⅓ avg 16.7%

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

0.16Best match rating · 13–4 · train, 1 Nov →
29%Best headshot accuracy · 13–3 · nuke, 26 Oct →
406msFastest reaction time · 9–13 · mirage, 10 Aug →
13–1Biggest win · mirage, 4 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 58% over 12overpassWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3917–2244%-0.02
infernoB168–850%-0.00
dust2B168–850%-0.03
nukeA127–558%-0.01
overpassC73–443%-0.02
train—32–167%0.05
ancient—31–233%-0.05
office—11–0100%0.06
palacio—11–0100%-0.05
grail—10–10%0.02
anubis—11–0100%-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,157Lifetime kills
0.83K/D
2,419Matches
33.2%Match win rate
34.9%Headshot %
8.0%Shot accuracy
2,683MVPs
966Hours (in match)
1,217Bombs planted
279Bombs defused

Most-used weapons

Lifetime map wins

3,442dust2
2,920inferno
631nuke
240vertigo
154office
147train
115cbble
13safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.1%Spray accuracy
75.1%Counter-strafing
10.5°Preaim
673msReaction time
23.8%T opening success
42.2%CT opening success
0.74Enemies flashed / flash
1.5%Flash assists
8.92HE damage / grenade
10.04Flashes / 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 23.8194% — below the 40% mark we flag

Spend your practice time on Overpass

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0413%16 Dec →
nuke13–110.0423%23 Nov →
overpass10–13-0.0616%23 Nov →
mirage13–90.0014%23 Nov →
mirage13–4-0.038%16 Nov →
inferno13–70.0129%16 Nov →
nuke13–100.0320%11 Nov →
mirage13–50.017%11 Nov →
dust29–130.0117%11 Nov →
nuke5–13-0.0724%11 Nov →
office13–100.0622%4 Nov →
nuke16–12-0.0011%4 Nov →
overpass13–4-0.0421%4 Nov →
dust29–13-0.067%4 Nov →
mirage2–13-0.0823%2 Nov →
mirage13–3-0.0217%2 Nov →
train13–40.1617%1 Nov →
nuke13–60.025%1 Nov →
mirage9–13-0.0217%1 Nov →
nuke13–30.0929%26 Oct →
nuke13–30.0324%26 Oct →
mirage6–13-0.0123%26 Oct →
mirage13–9-0.0426%21 Oct →
dust211–13-0.039%21 Oct →
dust213–60.0417%21 Oct →
inferno8–13-0.0616%14 Oct →
inferno13–100.0418%14 Oct →
inferno15–150.0210%12 Oct →
dust24–13-0.0911%12 Oct →
mirage13–16-0.0114%12 Oct →
overpass13–7-0.0113%7 Oct →
overpass9–13-0.0320%7 Oct →
mirage13–110.009%7 Oct →
dust213–8-0.0118%7 Oct →
palacio9–4-0.055%7 Oct →
mirage13–11-0.0515%22 Sept →
overpass16–14-0.0114%22 Sept →
mirage10–13-0.0212%22 Sept →
mirage7–13-0.0019%14 Sept →
nuke15–15-0.059%14 Sept →
inferno13–8-0.068%14 Sept →
dust213–70.019%14 Sept →
dust29–13-0.0715%7 Sept →
mirage13–11-0.037%7 Sept →
nuke8–2-0.1229%6 Sept →
inferno15–150.0115%6 Sept →
nuke6–13-0.0411%6 Sept →
inferno3–13-0.084%6 Sept →
ancient13–8-0.0417%6 Sept →
dust211–13-0.0312%6 Sept →
mirage13–100.0314%6 Sept →
nuke12–16-0.0111%24 Aug →
mirage13–7-0.0520%24 Aug →
dust29–13-0.0212%24 Aug →
inferno13–90.0323%24 Aug →
overpass7–13-0.059%17 Aug →
mirage6–13-0.029%17 Aug →
mirage6–13-0.0712%17 Aug →
mirage10–130.0110%15 Aug →
dust27–1-0.076%15 Aug →
dust213–80.0519%12 Aug →
mirage13–11-0.0420%12 Aug →
mirage16–140.0117%12 Aug →
inferno16–120.0713%10 Aug →
dust213–30.0115%10 Aug →
mirage9–130.0218%10 Aug →
mirage13–90.0615%10 Aug →
mirage14–160.029%9 Aug →
inferno11–130.0420%9 Aug →
mirage13–5-0.0211%5 Aug →
mirage7–13-0.037%5 Aug →
mirage11–13-0.049%22 Jul →
ancient1–13-0.0614%22 Jul →
mirage3–13-0.078%13 Jul →
inferno13–80.0016%13 Jul →
inferno13–70.0114%13 Jul →
mirage4–13-0.0525%6 Jul →
inferno13–7-0.047%6 Jul →
mirage3–130.0112%6 Jul →
mirage2–13-0.0910%1 Jun →
train15–150.0316%1 Jun →
mirage15–15-0.0116%31 May →
ancient11–13-0.0311%31 May →
dust213–5-0.0913%31 May →
mirage14–160.0115%27 May →
overpass7–130.0720%16 May →
grail10–130.0214%13 May →
mirage7–13-0.028%10 May →
dust213–7-0.0717%4 May →
mirage13–80.0112%4 May →
mirage13–10.0014%4 May →
inferno9–130.0310%3 May →
inferno10–13-0.0218%3 May →
inferno3–7-0.0213%3 May →
mirage12–16-0.0611%3 May →
dust27–13-0.085%1 May →
mirage15–15-0.062%1 May →
mirage13–30.0223%1 May →
anubis13–8-0.028%1 May →
train13–11-0.045%27 Apr →

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 →

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