gecko_fresh

gecko_fresh — CS2 Stats

DE76561198721492416[U:1:761226688]Steam profile ↗✓ No bans

92Tracked matches41%Win rate2026Tracked since
109Hours in CS26Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating16,767Purple band · top ~21.4% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). 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: 16,767 +6,768 2 Jul – 5 Oct · 24 days played
9,99917,836peak 17,8362 Jul5 Oct
18,082Peak Premier in tracked matches
39Days played since 2026-04-24

Premier CS Rating

  • 1,069 below peak (17,836)
  • -280 over 30 days · steady
  • +6,768 over 90 days
  • Next: Pink band at 20,000 — 3,233 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.

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 rate47.2%44.3%46.9%meets
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.101.031.08meets
Match win rate47.3%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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.GGgecko_freshPREMIER16,767 · 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

Aim46
Positioning56
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46–42–4Last 9250%Win rateLWLLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +2.8pp headshot accuracy · +66ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 613ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

Newest first, from the last 92 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.6
Utility3.9
Positioning5.6
Opening Duels3.0

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 556ms 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

Aim4.6
Positioning5.6
Utility3.9
Mechanics2.6
Opening Duels4.4
Win Impact2.1

Composite 4.1/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time562ms−46ms
first ⅓ avg 608ms → last ⅓ avg 562ms
Headshot accuracy13.3%−4.6%
first ⅓ avg 18.0% → last ⅓ avg 13.3%

Rolling 5-match average across the last 92 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 10–1 · mirage, 9 Jul →
44%Best headshot accuracy · 6–9 · sanctum, 24 Apr →
398msFastest reaction time · 9–5 · vertigo, 2 Oct →
13–1Biggest win · dust2, 2 Sept →

Across the last 92 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 71% over 14cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B158–753%0.01
infernoA148–657%0.03
mirageS1410–471%0.03
anubisD103–730%-0.03
ancientA106–460%0.01
cacheD92–722%-0.00
nukeC94–544%0.03
poseidonA53–260%-0.03
vertigo—31–233%-0.01
debris—11–0100%0.10
office—10–10%-0.02
sanctum—10–10%-0.14

Across the last 92 tracked matches.

Lifetime stats

3,372Lifetime kills
1.10K/D · Top 50% of Purple band
207Matches
47.3%Match win rate · Top 50% of Purple band
47.2%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
474MVPs
58Hours (in match)
85Bombs planted
39Bombs defused

Most-used weapons

Lifetime map wins

285inferno
265dust2
123nuke
44vertigo
37train
18office
3ar_shoots
2italy

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.

12.9%Headshot accuracy
35.2%Accuracy (enemy spotted)
34.2%Spray accuracy
61.7%Counter-strafing
11.1°Preaim
556msReaction time
47.2%T opening success
47.7%CT opening success
0.40Enemies flashed / flash
6.6%Flash assists
7.55HE damage / grenade
5.89Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8754% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3962 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0113%5 Oct →
inferno13–30.0915%5 Oct →
inferno8–13-0.0713%5 Oct →
cache13–160.0611%4 Oct →
anubis8–13-0.0315%3 Oct →
dust216–140.0216%3 Oct →
poseidon9–4-0.0117%3 Oct →
debris9–40.1010%3 Oct →
poseidon9–2-0.0314%3 Oct →
poseidon9–20.0832%3 Oct →
poseidon8–8-0.0114%3 Oct →
nuke8–8-0.0015%3 Oct →
inferno9–50.0119%3 Oct →
nuke9–13-0.0212%3 Oct →
ancient13–10-0.044%2 Oct →
cache6–13-0.046%2 Oct →
nuke13–30.013%2 Oct →
dust26–130.0012%2 Oct →
cache9–13-0.0114%2 Oct →
vertigo9–5-0.0427%2 Oct →
inferno9–5-0.025%2 Oct →
ancient13–50.0711%1 Oct →
mirage13–6-0.039%1 Oct →
inferno7–130.0415%29 Sept →
inferno15–15-0.0313%26 Sept →
mirage10–130.0515%26 Sept →
dust23–130.0113%26 Sept →
vertigo6–13-0.0218%26 Sept →
mirage13–9-0.0213%26 Sept →
nuke1–90.037%26 Sept →
mirage13–10-0.0120%25 Sept →
dust24–130.0222%25 Sept →
anubis2–13-0.0615%14 Sept →
ancient13–90.0821%14 Sept →
ancient5–10-0.080%14 Sept →
cache7–13-0.0820%11 Sept →
inferno16–140.0212%11 Sept →
cache13–80.0413%2 Sept →
dust213–10.0410%2 Sept →
anubis3–13-0.0511%2 Sept →
cache4–13-0.0112%5 Aug →
dust213–110.0422%5 Aug →
inferno13–80.118%4 Aug →
nuke13–50.1112%4 Aug →
dust213–7-0.0417%4 Aug →
mirage13–90.0313%1 Aug →
dust213–80.0516%28 Jul →
dust213–4-0.0418%27 Jul →
mirage13–60.0322%18 Jul →
anubis13–40.0314%17 Jul →
inferno13–60.0118%17 Jul →
dust212–160.0221%16 Jul →
nuke7–130.1215%16 Jul →
cache8–00.0118%16 Jul →
mirage13–50.0712%15 Jul →
anubis7–13-0.0424%14 Jul →
cache9–130.018%13 Jul →
ancient13–110.0421%13 Jul →
nuke16–120.028%12 Jul →
inferno16–140.0413%12 Jul →
inferno15–150.0312%11 Jul →
ancient16–130.0319%10 Jul →
mirage13–11-0.0313%9 Jul →
anubis8–13-0.0510%9 Jul →
inferno13–30.1319%9 Jul →
nuke10–13-0.0123%9 Jul →
dust210–130.0413%9 Jul →
cache6–13-0.0316%9 Jul →
anubis16–12-0.019%9 Jul →
mirage10–10.158%9 Jul →
mirage13–40.0720%9 Jul →
office5–13-0.0214%8 Jul →
vertigo5–90.0120%8 Jul →
dust24–130.0117%7 Jul →
mirage8–13-0.0120%7 Jul →
dust29–10.0617%2 Jul →
ancient0–3-0.090%27 Jun →
dust211–13-0.0413%24 Jun →
ancient6–13-0.0427%10 Jun →
inferno9–130.0429%8 Jun →
inferno6–130.0012%8 Jun →
mirage13–60.0031%31 May →
anubis11–13-0.0220%31 May →
anubis13–4-0.0117%31 May →
ancient8–130.0819%27 May →
ancient13–90.0814%26 May →
nuke13–100.0318%18 May →
dust213–50.0213%18 May →
mirage7–130.049%10 May →
mirage8–130.0530%10 May →
sanctum6–9-0.1444%24 Apr →
poseidon6–9-0.1921%24 Apr →

Match data via Leetify.

Recent teammates

Milestones

10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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