Good Boy

Good Boy — CS2 Stats

76561198070492197[U:1:110226469]Steam profile ↗✓ No bans

995Tracked matches66%Win rate2020Tracked since
2,852Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 995 tracked matches. Play, then come back: the next observation lands here.

Rating over time

43Days played since 2025-02-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 21 Sep 2026 and 26 Oct 2026.

Measured 21 Sep 2026 → 26 Oct 2026; previous 28 Aug 2026 → 21 Sep 2026.

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 Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate55.3%50.9%
Shot accuracy20.0%13.7%
Kill/death ratio1.091.09
Match win rate44.5%48.4%

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CSDB.GGGood BoyFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning49
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLLWLLWLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.1pp headshot accuracy · +26ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 492ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 544ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 531ms

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 (+1.8 against its own average).

Aim7.2
Utility6.5
Positioning4.9
Opening Duels3.2
Clutch4.0

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.2
Positioning4.9
Utility6.5
Mechanics6.4
Opening Duels1.9
Win Impact10.0

Composite 6.3/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time541ms−21ms
first ⅓ avg 563ms → last ⅓ avg 541ms
Headshot accuracy18.7%+2.1%
first ⅓ avg 16.6% → last ⅓ avg 18.7%

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

0.08Best match rating · 13–2 · inferno, 9 Mar →
33%Best headshot accuracy · 6–13 · mirage, 9 Mar →
297msFastest reaction time · 13–2 · ancient, 17 Feb →
13–2Biggest win · nuke, 26 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 80% over 10ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
anubisS2718–967%0.01
nukeB2111–1052%-0.02
mirageB157–847%-0.02
ancientC146–843%-0.01
trainA116–555%0.02
infernoS108–280%-0.02
dust2—21–150%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,311Lifetime kills
1.09K/D · Top 50% of Level 10 players
4,401Matches
44.5%Match win rate
55.3%Headshot % · Top 50% of Level 10 players
20.0%Shot accuracy · Top 5% of Level 10 players
12,086MVPs
2,852Hours (in match)
4,669Bombs planted
1,027Bombs defused

Most-used weapons

AK-4773,458
AWP17,819
FAMAS2,840
UMP-451,840
Knife1,411

Lifetime map wins

4,408inferno
4,195nuke
2,133train
1,712vertigo
1,483cbble
1,360dust2
214lake
108shorttrain

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

Faceit stats

Combat

1,408Matches
51%Win rate
0.99Avg K/D
71.4ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10941%0.8713.5
Anubis10254%1.0614.6
Nuke7348%0.9713.6
Ancient6650%0.9714.7
Train3762%1.0214.7
Inferno2948%0.9912.9
Dust21267%0.9213.4
Vertigo333%0.8316.0

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.

18.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.4%Spray accuracy
78.9%Counter-strafing
10.6°Preaim
544msReaction time
35.0%T opening success
40.4%CT opening success
0.61Enemies flashed / flash
6.2%Flash assists
6.16HE damage / grenade
6.47Flashes / 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. 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 34.95% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke1–13-0.0918%29 Jun →
train13–3-0.0323%13 Jun →
ancient10–13-0.0021%5 Jun →
anubis8–13-0.0714%5 Jun →
anubis13–50.0517%5 Jun →
nuke11–130.0412%31 May →
train12–15-0.0419%20 May →
nuke13–9-0.0619%19 May →
anubis11–13-0.0623%5 May →
inferno13–10-0.0328%4 May →
anubis13–70.0320%30 Apr →
dust22–13-0.0630%26 Apr →
train12–120.0723%26 Apr →
nuke13–60.0725%26 Apr →
nuke13–70.0319%24 Apr →
nuke13–9-0.0119%16 Apr →
inferno9–6-0.0416%11 Apr →
nuke16–14-0.0415%26 Mar →
anubis13–11-0.0312%26 Mar →
nuke13–20.0624%26 Mar →
inferno5–13-0.108%23 Mar →
nuke8–13-0.0525%19 Mar →
ancient13–9-0.0114%12 Mar →
anubis13–80.0513%10 Mar →
ancient13–7-0.0314%9 Mar →
train16–140.0622%9 Mar →
mirage6–13-0.0433%9 Mar →
anubis13–11-0.0118%9 Mar →
inferno13–20.087%9 Mar →
mirage13–100.0321%9 Mar →
ancient13–6-0.0112%6 Mar →
mirage16–13-0.0213%6 Mar →
mirage13–110.0222%6 Mar →
anubis13–90.0215%6 Mar →
anubis13–20.0418%6 Mar →
nuke13–16-0.0314%4 Mar →
ancient7–13-0.0418%3 Mar →
anubis14–160.0421%2 Mar →
inferno13–8-0.0019%2 Mar →
anubis13–5-0.0123%2 Mar →
train13–110.0117%2 Mar →
anubis13–20.0321%2 Mar →
anubis13–11-0.0114%2 Mar →
inferno16–14-0.0117%1 Mar →
inferno8–13-0.0317%1 Mar →
nuke7–13-0.0424%1 Mar →
ancient9–130.0421%1 Mar →
nuke5–13-0.0815%28 Feb →
train13–90.0212%28 Feb →
ancient5–13-0.0411%28 Feb →
train11–130.0215%28 Feb →
mirage10–130.0117%28 Feb →
anubis6–13-0.0416%26 Feb →
ancient18–22-0.0118%26 Feb →
inferno13–70.0012%26 Feb →
nuke13–9-0.0221%25 Feb →
train14–160.0020%25 Feb →
train9–13-0.0218%24 Feb →
anubis13–90.0431%24 Feb →
anubis11–130.0217%23 Feb →
mirage13–10-0.1014%23 Feb →
anubis7–13-0.0516%23 Feb →
anubis13–9-0.0213%23 Feb →
anubis13–20.0314%22 Feb →
inferno13–5-0.0215%22 Feb →
train13–30.0725%21 Feb →
nuke13–10-0.0120%21 Feb →
ancient5–13-0.0223%21 Feb →
mirage17–190.0427%21 Feb →
anubis11–13-0.0317%21 Feb →
nuke6–13-0.078%21 Feb →
ancient14–16-0.0314%20 Feb →
mirage4–13-0.0318%19 Feb →
nuke13–14-0.0417%19 Feb →
mirage8–13-0.0323%19 Feb →
train13–110.0320%17 Feb →
mirage13–80.0021%17 Feb →
ancient13–20.0215%17 Feb →
anubis8–13-0.0314%17 Feb →
ancient13–70.0132%17 Feb →
anubis9–13-0.0414%16 Feb →
nuke10–13-0.0016%10 Feb →
mirage2–13-0.085%10 Feb →
dust213–40.0618%10 Feb →
anubis13–70.0714%10 Feb →
nuke13–9-0.0414%9 Feb →
mirage13–80.0111%9 Feb →
anubis13–80.0523%9 Feb →
ancient13–100.0015%9 Feb →
nuke10–130.0111%9 Feb →
nuke13–10-0.0120%9 Feb →
ancient17–19-0.0411%7 Feb →
mirage11–130.0113%6 Feb →
anubis13–80.0013%4 Feb →
nuke13–100.0224%4 Feb →
anubis13–40.0616%4 Feb →
mirage13–9-0.035%3 Feb →
inferno13–9-0.0616%2 Feb →
mirage9–13-0.0420%2 Feb →
anubis13–11-0.0018%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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