GeckoFresh

GeckoFresh — CS2 Stats

DE76561199478800717[U:1:1518534989]Steam profile ↗✓ No bans

959Tracked matches54%Win rate2024Tracked since
1,098Hours in CS9Hrs last 2 wks
CSDB Rating4.2 DevelopingAll-Rounder
Premier CS Rating19,069Top 50% of 203,257 CSDB-tracked playersPurple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#94287 of 250324 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,069 +5,584 17 May – 4 Oct · 33 days played
13,01719,377peak 19,37717 May4 Oct
19,377Peak Premier in tracked matches
47Days played since 2026-05-17

Premier CS Rating

  • 308 below peak (19,377)
  • +2,361 over 30 days · improving
  • +4,069 over 90 days
  • Next: Pink band at 20,000 — 931 to go
  • Reached: Purple band · Blue band · Light Blue band

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

MetricLast 30Previous 30Change
Matches28——
Win rate61%——
K/D0.93——
Headshot %44%——

Measured 7 Sep 2026 → 7 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.3%46.9%4.0% short
Shot accuracy0.8%11.9%13.0%12.2% short
Kill/death ratio1.001.031.080.09 short
Match win rate42.2%45.2%46.7%4.5% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGeckoFreshPREMIER19,069 · Purple bandcsdb.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

Aim40
Positioning49
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLLWWLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −1ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.0
Utility4.5
Positioning4.9
Opening Duels3.3

Limited utility dependence

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

donk

Plays most like donk 73% 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. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim4.0
Positioning4.9
Utility4.5
Mechanics2.7
Opening Duels3.4
Win Impact6.2

Composite 4.2/10 (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 time586ms+3ms
first ⅓ avg 582ms → last ⅓ avg 586ms
Headshot accuracy15.7%−4.5%
first ⅓ avg 20.2% → last ⅓ avg 15.7%

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

0.23Best match rating · 8–8 · inferno, 21 Jul →
60%Best headshot accuracy · 9–5 · vertigo, 31 May →
406msFastest reaction time · 4–4 · vertigo, 29 May →
13–3Biggest win · anubis, 1 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 63% over 16anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA1911–858%0.02
infernoC176–1135%0.03
ancientA1610–663%-0.00
nukeC167–944%0.01
dust2C114–736%-0.01
anubisD102–820%0.00
cache—41–325%0.01
vertigo—42–250%0.06
overpass—32–167%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,797Lifetime kills
1.00K/D
1,548Matches
42.2%Match win rate
42.9%Headshot %
0.8%Shot accuracy
2,990MVPs
573Hours (in match)
1,131Bombs planted
429Bombs defused

Most-used weapons

Lifetime map wins

2,570nuke
1,476inferno
1,385vertigo
1,126dust2
181train
68office
24ar_shoots
15ar_baggage

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.

15.4%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.4%Spray accuracy
62.3%Counter-strafing
11.4°Preaim
599msReaction time
41.0%T opening success
45.9%CT opening success
0.46Enemies flashed / flash
8.3%Flash assists
6.54HE damage / grenade
4.80Flashes / 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 0.4615 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.1022%4 Oct →
vertigo6–90.016%4 Oct →
mirage13–110.0118%29 Sept →
inferno16–140.0615%25 Sept →
ancient3–13-0.0116%25 Sept →
dust213–100.0117%25 Sept →
nuke13–6-0.0216%25 Sept →
mirage13–4-0.0214%25 Sept →
nuke1–13-0.0210%24 Sept →
inferno4–13-0.0024%24 Sept →
ancient13–4-0.049%16 Sept →
anubis9–13-0.078%13 Sept →
dust213–40.0425%10 Sept →
ancient16–14-0.028%9 Sept →
mirage11–13-0.049%9 Sept →
dust213–10-0.0428%9 Sept →
mirage13–7-0.0320%7 Sept →
nuke8–13-0.047%7 Sept →
ancient7–20.0319%3 Sept →
cache11–13-0.0318%1 Sept →
anubis11–13-0.0210%1 Sept →
dust28–13-0.0116%21 Aug →
ancient5–13-0.0513%6 Aug →
mirage6–130.0614%6 Aug →
cache11–130.1420%6 Aug →
ancient13–10-0.0315%30 Jul →
mirage13–110.0917%30 Jul →
mirage13–6-0.0316%29 Jul →
dust215–15-0.0116%22 Jul →
vertigo7–90.0922%21 Jul →
inferno0–9-0.160%21 Jul →
nuke2–9-0.0833%21 Jul →
inferno8–80.2320%21 Jul →
inferno2–9-0.1016%21 Jul →
mirage13–40.1520%21 Jul →
nuke12–120.0612%21 Jul →
dust24–13-0.0618%20 Jul →
ancient1–13-0.0514%20 Jul →
nuke13–80.1014%20 Jul →
dust22–130.0115%20 Jul →
inferno7–130.0417%20 Jul →
mirage13–70.0023%20 Jul →
nuke11–13-0.0221%19 Jul →
mirage13–60.0421%19 Jul →
nuke1–13-0.0229%19 Jul →
ancient13–100.109%16 Jul →
mirage4–13-0.0128%11 Jul →
ancient13–9-0.0115%11 Jul →
cache13–100.0322%10 Jul →
inferno13–110.0610%8 Jul →
anubis7–130.0620%1 Jul →
nuke11–130.0213%1 Jul →
inferno15–15-0.0214%1 Jul →
inferno8–13-0.0617%28 Jun →
mirage6–13-0.0616%28 Jun →
inferno9–10.2119%28 Jun →
anubis12–160.0024%19 Jun →
mirage13–100.0013%19 Jun →
nuke16–13-0.0217%18 Jun →
nuke15–150.0226%17 Jun →
inferno13–100.049%16 Jun →
nuke13–90.0115%16 Jun →
dust27–13-0.0125%15 Jun →
ancient13–11-0.029%15 Jun →
inferno5–130.0214%15 Jun →
inferno8–130.0119%14 Jun →
inferno9–50.1111%14 Jun →
inferno16–140.0318%11 Jun →
anubis6–130.0621%9 Jun →
anubis9–130.0527%9 Jun →
ancient13–40.0814%4 Jun →
anubis14–16-0.0414%3 Jun →
mirage11–130.0414%3 Jun →
anubis13–100.0021%3 Jun →
anubis5–13-0.0015%2 Jun →
ancient12–16-0.0613%1 Jun →
anubis13–3-0.019%1 Jun →
nuke13–60.0419%1 Jun →
vertigo9–50.2060%31 May →
mirage8–13-0.0610%29 May →
nuke8–130.0618%29 May →
vertigo4–4-0.0850%29 May →
ancient16–14-0.0021%28 May →
overpass13–100.0132%28 May →
nuke13–110.0220%27 May →
mirage13–40.1826%27 May →
dust216–13-0.0021%25 May →
mirage13–30.0326%25 May →
ancient6–13-0.026%24 May →
overpass13–60.0214%21 May →
mirage10–13-0.0216%21 May →
ancient13–10-0.0213%21 May →
nuke13–80.0420%20 May →
ancient10–130.0318%20 May →
inferno10–130.0223%19 May →
dust26–13-0.0218%19 May →
inferno9–130.0916%19 May →
mirage3–13-0.0117%17 May →
dust27–13-0.0217%17 May →
overpass6–13-0.0318%17 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 →

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