GOD

GOD — CS2 Stats

JP76561198841343698[U:1:881077970]Steam profile ↗✓ No bans

963Tracked matches41%Win rate2020Tracked since
2,339Hours in CS20Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating11,575Blue band · top ~46.6% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 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: 11,575 -335 29 Aug – 24 Oct · 17 days played
10,97012,673peak 12,67329 Aug24 Oct
13,266Peak Premier in tracked matches
32Days played since 2026-08-29

Premier CS Rating

  • 1,098 below peak (12,673)
  • -1,098 over 30 days · declining
  • Next: Purple band at 15,000 — 3,425 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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 Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate38.8%41.3%41.8%3.0% short
Shot accuracy10.1%12.7%12.2%2.1% short
Kill/death ratio0.720.950.980.25 short
Match win rate41.1%42.6%43.3%2.2% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGODFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,575 · Blue 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

Aim47
Positioning50
Utility40

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateTLLWLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +3.1pp headshot accuracy · +34ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 564ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 591ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 574ms

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 (+2.5 against its own average).

Aim4.7
Utility4.0
Positioning5.0
Opening Duels0.9
Clutch0.0

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. 582ms 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

Aim4.7
Positioning5.0
Utility4.0
Mechanics3.8
Opening Duels3.1
Win Impact1.9

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time584ms−41ms
first ⅓ avg 626ms → last ⅓ avg 584ms
Headshot accuracy9.9%−2.1%
first ⅓ avg 11.9% → last ⅓ avg 9.9%

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

0.14Best match rating · 13–3 · office, 23 Oct →
35%Best headshot accuracy · 13–3 · anubis, 16 Sept →
453msFastest reaction time · 8–13 · office, 26 Oct →
13–2Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 59% over 17nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeA1710–759%-0.05
vertigoC135–838%-0.05
anubisB137–654%-0.02
ancientD134–931%-0.04
dust2B105–550%-0.04
cacheD93–633%-0.04
mirageC83–538%-0.04
nukeD72–529%-0.04
overpassC52–340%-0.04
inferno—41–325%-0.03
train—10–10%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,599Lifetime kills
0.72K/D
3,101Matches
41.1%Match win rate
38.8%Headshot %
10.1%Shot accuracy
6,599MVPs
1,169Hours (in match)
3,420Bombs planted
988Bombs defused

Most-used weapons

Lifetime map wins

3,147vertigo
2,957dust2
2,839inferno
1,488nuke
1,145train
893office
144lake
86safehouse

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

Faceit stats

Combat

94Matches
46%Win rate
1.06Avg K/D
61.6ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.6911.2
Anubis10%0.508.0
Dust21100%0.829.0
Overpass10%0.7213.0
Inferno10%0.9625.0

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.

9.9%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.5%Spray accuracy
66.9%Counter-strafing
8.3°Preaim
582msReaction time
47.3%T opening success
37.7%CT opening success
0.51Enemies flashed / flash
2.8%Flash assists
10.76HE damage / grenade
6.13Flashes / 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 9.9343% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.7317% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–12-0.0415%26 Oct →
office8–13-0.138%26 Oct →
office10–13-0.0719%25 Oct →
dust213–8-0.040%24 Oct →
anubis8–13-0.0116%24 Oct →
anubis9–130.028%24 Oct →
ancient9–13-0.0313%23 Oct →
office13–30.1417%23 Oct →
office13–7-0.044%22 Oct →
office8–13-0.0613%21 Oct →
office13–9-0.0515%20 Oct →
vertigo5–13-0.0513%20 Oct →
vertigo13–5-0.087%19 Oct →
office13–8-0.075%18 Oct →
vertigo9–13-0.0610%18 Oct →
overpass3–13-0.106%18 Oct →
anubis13–6-0.0010%13 Oct →
vertigo2–13-0.029%13 Oct →
anubis8–13-0.046%13 Oct →
cache10–13-0.063%12 Oct →
anubis13–7-0.036%12 Oct →
overpass12–12-0.0610%12 Oct →
train8–13-0.0911%12 Oct →
vertigo13–10-0.0712%12 Oct →
vertigo9–13-0.0511%12 Oct →
cache13–11-0.0713%11 Oct →
ancient11–13-0.0714%11 Oct →
anubis9–13-0.0411%11 Oct →
cache15–15-0.033%9 Oct →
mirage13–3-0.0013%9 Oct →
nuke13–11-0.0112%9 Oct →
dust26–13-0.048%7 Oct →
anubis13–7-0.046%7 Oct →
dust213–5-0.0113%7 Oct →
nuke9–13-0.078%7 Oct →
inferno16–12-0.0511%6 Oct →
mirage6–13-0.0912%6 Oct →
inferno1–13-0.080%6 Oct →
ancient13–30.0014%6 Oct →
nuke13–8-0.0012%5 Oct →
ancient3–13-0.054%5 Oct →
vertigo13–9-0.0424%4 Oct →
ancient6–13-0.0517%4 Oct →
nuke10–13-0.128%4 Oct →
dust27–13-0.1417%4 Oct →
ancient13–11-0.042%1 Oct →
nuke9–13-0.1011%1 Oct →
ancient6–130.028%1 Oct →
mirage0–13-0.0813%1 Oct →
mirage13–50.0211%1 Oct →
ancient6–130.018%30 Sept →
nuke11–13-0.0315%30 Sept →
dust20–13-0.097%30 Sept →
anubis13–5-0.073%30 Sept →
anubis13–9-0.007%30 Sept →
ancient11–13-0.014%30 Sept →
anubis13–20.055%30 Sept →
cache7–13-0.047%30 Sept →
ancient13–11-0.0412%29 Sept →
dust213–80.0111%29 Sept →
dust28–130.0417%29 Sept →
mirage13–110.0412%27 Sept →
overpass13–6-0.018%27 Sept →
mirage2–13-0.1113%27 Sept →
vertigo2–13-0.0311%27 Sept →
dust213–30.0415%27 Sept →
anubis10–130.0010%27 Sept →
ancient6–13-0.0710%26 Sept →
inferno13–160.0216%26 Sept →
cache3–6-0.0319%26 Sept →
nuke5–130.0213%26 Sept →
dust210–13-0.0711%25 Sept →
anubis11–13-0.0520%25 Sept →
cache13–6-0.0510%25 Sept →
cache13–10-0.0716%25 Sept →
overpass9–13-0.017%24 Sept →
overpass13–6-0.006%23 Sept →
ancient13–10-0.063%20 Sept →
mirage11–13-0.0516%20 Sept →
office13–8-0.085%20 Sept →
vertigo4–13-0.0813%20 Sept →
office8–13-0.0610%19 Sept →
office13–11-0.0610%19 Sept →
vertigo9–130.019%18 Sept →
office4–13-0.0211%18 Sept →
office12–12-0.0710%17 Sept →
office13–5-0.0616%17 Sept →
cache9–13-0.0110%17 Sept →
ancient7–13-0.073%17 Sept →
mirage7–13-0.0812%17 Sept →
office13–6-0.0221%17 Sept →
anubis13–3-0.0435%16 Sept →
office13–7-0.0714%16 Sept →
office13–9-0.0311%16 Sept →
office8–13-0.059%16 Sept →
dust213–2-0.048%16 Sept →
cache11–13-0.0416%14 Sept →
vertigo13–8-0.099%14 Sept →
vertigo13–5-0.057%14 Sept →
inferno12–120.0110%11 Sept →

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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