gecko_fresh

gecko_fresh — CS2 Stats

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

107Tracked matches39%Win rate2026Tracked since
122Hours in CS12Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating15,724Purple band · top ~25.5% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 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: 15,724 +5,725 2 Jul – 30 Oct · 29 days played
9,99917,836peak 17,8362 Jul30 Oct
18,082Peak Premier in tracked matches
41Days played since 2026-05-27

Premier CS Rating

  • 2,112 below peak (17,836)
  • -1,487 over 30 days · declining
  • -159 over 90 days
  • Next: Pink band at 20,000 — 4,276 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 rate47.1%44.4%46.9%meets
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.091.031.08meets
Match win rate46.4%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_freshPREMIER15,724 · 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

Aim56
Positioning53
Utility42

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateWLWLLLLWTL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.0pp headshot accuracy · −12ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

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 Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim5.6
Utility4.2
Positioning5.3
Opening Duels1.9

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

NiKo

Plays most like NiKo 85% 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. 557ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.6
Positioning5.3
Utility4.2
Mechanics3.8
Opening Duels3.2
Win Impact1.4

Composite 4.4/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time580ms−20ms
first ⅓ avg 600ms → last ⅓ avg 580ms
Headshot accuracy14.6%−1.7%
first ⅓ avg 16.3% → last ⅓ avg 14.6%

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

0.15Best match rating · 10–1 · mirage, 9 Jul →
32%Best headshot accuracy · 9–2 · poseidon, 3 Oct →
398msFastest reaction time · 13–6 · mirage, 23 Oct →
13–1Biggest win · dust2, 2 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 69% over 16cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS1611–569%0.02
dust2C167–944%0.01
infernoB158–753%0.03
anubisC135–838%-0.01
nukeC104–640%0.02
cacheD103–730%-0.01
ancientB105–550%0.01
poseidon—43–175%0.01
vertigo—31–233%-0.01
debris—21–150%0.02
office—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

3,614Lifetime kills
1.09K/D · Top 50% of Purple band
222Matches
46.4%Match win rate · Top 50% of Purple band
47.1%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
509MVPs
64Hours (in match)
93Bombs planted
42Bombs defused

Most-used weapons

Lifetime map wins

296inferno
288dust2
144nuke
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.

13.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
33.4%Spray accuracy
67.1%Counter-strafing
9.7°Preaim
557msReaction time
35.8%T opening success
49.4%CT opening success
0.40Enemies flashed / flash
7.3%Flash assists
5.47HE damage / grenade
8.53Flashes / 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 13.6473% — 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 0.4023 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 35.7968% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0516%30 Oct →
mirage7–13-0.014%30 Oct →
nuke16–120.0624%28 Oct →
nuke5–13-0.0718%25 Oct →
mirage7–13-0.0828%25 Oct →
inferno11–130.029%25 Oct →
dust212–16-0.0215%24 Oct →
cache13–3-0.0316%24 Oct →
ancient15–150.0113%24 Oct →
mirage10–130.0111%23 Oct →
dust211–13-0.0422%23 Oct →
anubis10–13-0.0012%23 Oct →
anubis13–100.0620%23 Oct →
mirage13–60.0417%23 Oct →
debris8–8-0.0717%7 Oct →
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 →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.