Goodkat

Goodkat — CS2 Stats

76561198102902799[U:1:142637071]Steam profile ↗✓ No bans

628Tracked matches47%Win rate2025Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating12,683Blue band · top ~40.7% of ranked players (population est.)
FaceitLevel 6 · 763 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 628 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,683 -2,316 24 Jun – 26 Oct · 25 days played
12,03614,999peak 14,99924 Jun26 Oct
Faceit ELO: 763 +0 3 Sept – 26 Oct · 4 observations
763763peak 7633 Sept26 Oct
14,999Peak Premier in tracked matches
763Highest Faceit ELO seen on CSDB
36Days played since 2026-06-24

Faceit ELO

  • At peak — 763
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 138 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-03
  • Level 2 first seen 2026-09-03

Premier CS Rating

  • 2,316 below peak (14,999)
  • -269 over 30 days · steady
  • +647 over 90 days
  • Next: Purple band at 15,000 — 2,317 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGGoodkatFACEITLevel 6 · 763 ELOSTANDINGTop 54.0% of rankedPREMIER12,683 · Blue band30 DAYS0 ELOPEAK ELO763csdb.gg/stats

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Performance scores

Aim72
Positioning49
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateLLLLWLWLWL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · +56ms reaction

Win rate down 40pp 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 -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 635ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 626ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 598ms

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 (+1.9 against its own average).

Aim7.2
Utility5.7
Positioning4.9
Opening Duels0.7
Clutch4.0

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

b1t

Plays most like b1t 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 586ms 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

Aim7.2
Positioning4.9
Utility5.7
Mechanics6.6
Opening Duels0.4
Win Impact3.9

Composite 5.1/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time596ms−67ms
first ⅓ avg 662ms → last ⅓ avg 596ms
Headshot accuracy19.3%−3.0%
first ⅓ avg 22.3% → last ⅓ avg 19.3%

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

0.12Best match rating · 9–1 · dust2, 25 Aug →
38%Best headshot accuracy · 6–13 · ancient, 8 Jul →
406msFastest reaction time · 13–16 · dust2, 31 Aug →
13–0Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
9–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%-0.00
ancientB2111–1052%-0.02
anubisB1910–953%-0.03
dust2B137–654%-0.02
cacheA127–558%0.00
infernoC104–640%-0.02
mirage—21–150%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

95Matches
56%Win rate
0.80Avg K/D
64.8ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient2250%0.7211.9
Nuke1765%0.8512.3
Inferno1457%0.8712.5
Anubis1457%0.8512.4
Dust21242%0.8011.5
Overpass683%0.8411.2
Mirage633%0.7810.0
Cache2100%0.9314.0

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.

19.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.0%Spray accuracy
79.9%Counter-strafing
9.4°Preaim
586msReaction time
25.7%T opening success
33.6%CT opening success
0.49Enemies flashed / flash
9.4%Flash assists
9.89HE damage / grenade
4.43Flashes / 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 0.4867 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 25.7366% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0319%13 Oct →
inferno7–130.017%12 Oct →
dust25–13-0.0830%12 Oct →
nuke8–13-0.0215%8 Oct →
mirage13–10-0.0526%7 Oct →
inferno9–130.0524%7 Oct →
anubis13–100.0331%6 Oct →
dust21–13-0.0916%6 Oct →
nuke11–6-0.0219%6 Oct →
nuke9–13-0.0118%5 Oct →
nuke7–13-0.0113%17 Sept →
inferno13–10-0.0328%15 Sept →
dust213–7-0.0617%15 Sept →
cache13–80.0218%15 Sept →
ancient13–11-0.0224%15 Sept →
anubis13–90.0120%14 Sept →
nuke13–60.0321%14 Sept →
anubis8–13-0.0713%14 Sept →
ancient13–4-0.0416%13 Sept →
cache8–13-0.0113%13 Sept →
nuke13–40.0716%13 Sept →
dust213–10.038%13 Sept →
dust213–00.0426%13 Sept →
ancient12–16-0.0318%11 Sept →
nuke13–60.0325%11 Sept →
anubis2–13-0.0610%11 Sept →
anubis5–13-0.0817%8 Sept →
nuke8–13-0.0315%8 Sept →
anubis4–130.0123%5 Sept →
ancient7–13-0.0522%2 Sept →
cache16–13-0.0333%2 Sept →
nuke13–6-0.0229%2 Sept →
nuke13–11-0.039%1 Sept →
anubis13–9-0.0517%1 Sept →
ancient16–12-0.0412%1 Sept →
dust213–16-0.0522%31 Aug →
anubis13–5-0.0013%30 Aug →
cache13–90.069%30 Aug →
mirage4–13-0.088%28 Aug →
anubis10–13-0.0812%28 Aug →
ancient13–110.0824%27 Aug →
nuke8–130.0231%26 Aug →
nuke11–13-0.0621%26 Aug →
nuke5–90.0427%25 Aug →
dust29–10.1232%25 Aug →
ancient3–130.0316%25 Aug →
cache13–30.1031%23 Aug →
cache13–00.0830%18 Aug →
ancient12–16-0.067%11 Aug →
nuke13–5-0.026%11 Aug →
nuke13–8-0.0221%11 Aug →
ancient13–8-0.0226%11 Aug →
ancient13–8-0.0414%11 Aug →
nuke13–30.0016%11 Aug →
dust29–13-0.0416%11 Aug →
anubis13–110.0117%11 Aug →
ancient15–15-0.0313%11 Aug →
cache7–130.0212%3 Aug →
ancient13–8-0.0816%3 Aug →
anubis13–8-0.0024%3 Aug →
inferno13–7-0.0424%2 Aug →
ancient13–7-0.0135%2 Aug →
nuke2–13-0.0928%2 Aug →
anubis13–10-0.0819%2 Aug →
nuke13–40.0722%2 Aug →
ancient11–13-0.0416%2 Aug →
anubis13–7-0.0514%2 Aug →
cache9–13-0.0638%2 Aug →
cache1–13-0.0538%31 Jul →
dust213–11-0.0423%31 Jul →
anubis10–13-0.0119%30 Jul →
inferno5–13-0.0029%30 Jul →
cache11–13-0.0430%30 Jul →
nuke9–13-0.0319%29 Jul →
ancient13–70.0414%29 Jul →
anubis16–14-0.0216%29 Jul →
dust213–100.0022%29 Jul →
anubis6–130.0025%29 Jul →
ancient15–15-0.0223%29 Jul →
anubis9–13-0.0317%26 Jul →
nuke11–130.0221%26 Jul →
ancient4–130.0118%18 Jul →
inferno1–13-0.0424%16 Jul →
cache16–14-0.0325%16 Jul →
nuke13–110.0320%16 Jul →
anubis10–13-0.0210%8 Jul →
ancient6–13-0.0538%8 Jul →
anubis13–40.0016%8 Jul →
inferno5–13-0.0923%8 Jul →
nuke6–13-0.0323%8 Jul →
cache13–9-0.0615%8 Jul →
dust29–13-0.0122%7 Jul →
ancient16–14-0.0511%7 Jul →
dust213–100.0037%7 Jul →
inferno13–70.0328%7 Jul →
ancient13–8-0.0124%4 Jul →
inferno6–13-0.0822%4 Jul →
nuke8–130.0128%4 Jul →
dust27–13-0.1011%4 Jul →
inferno13–4-0.0610%24 Jun →

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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