Goatdom /k/ — CS2 Stats
76561198047360372[U:1:87094644]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.06 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like Twistzz 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
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
Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| office | B | 30 | 14–16 | 47% | 0.02 |
| C | 23 | 9–14 | 39% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| D | 5 | 0–5 | 0% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| eldorado | — | 1 | 1–0 | 100% | -0.09 |
| shelter | — | 1 | 1–0 | 100% | -0.01 |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.80 | 12.0 |
| Inferno | 1 | 100% | 1.00 | 14.0 |
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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.9367% — below the 15% mark we flag
- 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 27.7081% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.07 | 4% | 27 Aug → | ||
| 8–4 | -0.06 | 0% | 27 Aug → | ||
| office | 8–13 | 0.03 | 12% | 26 Aug → | |
| office | 10–13 | -0.05 | 9% | 25 Aug → | |
| office | 3–13 | -0.04 | 3% | 25 Aug → | |
| office | 13–6 | 0.02 | 11% | 25 Aug → | |
| office | 12–12 | 0.04 | 13% | 24 Aug → | |
| office | 1–13 | -0.08 | 13% | 24 Aug → | |
| 13–10 | -0.06 | 15% | 23 Aug → | ||
| 13–10 | -0.04 | 5% | 23 Aug → | ||
| office | 3–13 | -0.06 | 20% | 23 Aug → | |
| office | 13–5 | 0.26 | 26% | 21 Aug → | |
| office | 13–9 | -0.02 | 14% | 21 Aug → | |
| office | 1–5 | -0.03 | 20% | 19 Aug → | |
| office | 13–5 | 0.16 | 20% | 19 Aug → | |
| office | 7–13 | -0.01 | 17% | 19 Aug → | |
| office | 12–12 | 0.01 | 16% | 19 Aug → | |
| 13–6 | 0.03 | 7% | 18 Aug → | ||
| office | 11–13 | -0.07 | 17% | 18 Aug → | |
| 13–6 | 0.05 | 15% | 17 Aug → | ||
| 13–5 | 0.12 | 17% | 17 Aug → | ||
| office | 13–2 | 0.14 | 13% | 17 Aug → | |
| office | 13–10 | 0.12 | 19% | 17 Aug → | |
| 10–13 | -0.01 | 19% | 16 Aug → | ||
| 11–13 | 0.00 | 9% | 16 Aug → | ||
| 13–9 | 0.00 | 10% | 16 Aug → | ||
| 12–12 | 0.02 | 8% | 15 Aug → | ||
| 2–13 | -0.02 | 19% | 15 Aug → | ||
| 14–16 | -0.07 | 11% | 14 Aug → | ||
| 9–13 | -0.02 | 14% | 14 Aug → | ||
| office | 12–12 | 0.01 | 2% | 14 Aug → | |
| eldorado | 9–6 | -0.09 | 17% | 11 Aug → | |
| office | 13–6 | -0.03 | 8% | 10 Aug → | |
| shelter | 13–6 | -0.01 | 10% | 5 Aug → | |
| 9–13 | -0.04 | 8% | 18 Jul → | ||
| 10–13 | -0.04 | 13% | 18 Jul → | ||
| 11–13 | -0.01 | 16% | 18 Jul → | ||
| 8–13 | -0.03 | 13% | 17 Jul → | ||
| 13–7 | 0.11 | 21% | 17 Jul → | ||
| 4–13 | 0.01 | 11% | 8 Jul → | ||
| office | 13–4 | 0.07 | 22% | 8 Jul → | |
| 10–13 | -0.03 | 10% | 8 Jul → | ||
| 13–4 | 0.08 | 9% | 8 Jul → | ||
| 16–13 | 0.06 | 16% | 4 Jul → | ||
| 12–16 | 0.04 | 8% | 4 Jul → | ||
| 10–13 | 0.04 | 15% | 4 Jul → | ||
| 4–13 | -0.04 | 16% | 4 Jul → | ||
| 13–5 | -0.01 | 13% | 4 Jul → | ||
| office | 9–13 | 0.00 | 18% | 3 Jul → | |
| 13–10 | -0.00 | 4% | 1 Jul → | ||
| office | 8–13 | -0.03 | 8% | 1 Jul → | |
| 3–13 | 0.05 | 15% | 1 Jul → | ||
| 13–6 | 0.00 | 4% | 30 Jun → | ||
| 5–13 | -0.08 | 17% | 30 Jun → | ||
| 13–3 | 0.01 | 18% | 30 Jun → | ||
| office | 13–10 | 0.04 | 20% | 29 Jun → | |
| office | 0–2 | -0.11 | 0% | 29 Jun → | |
| 1–13 | -0.08 | 0% | 29 Jun → | ||
| office | 9–13 | -0.04 | 4% | 28 Jun → | |
| 13–10 | 0.02 | 30% | 28 Jun → | ||
| 8–13 | -0.08 | 18% | 28 Jun → | ||
| 13–11 | 0.00 | 12% | 28 Jun → | ||
| 13–10 | -0.04 | 13% | 28 Jun → | ||
| 13–5 | 0.05 | 9% | 28 Jun → | ||
| 16–13 | 0.04 | 13% | 18 Jun → | ||
| 5–13 | -0.03 | 13% | 18 Jun → | ||
| 13–2 | 0.12 | 18% | 18 Jun → | ||
| 2–9 | -0.10 | 10% | 18 Jun → | ||
| office | 13–11 | 0.01 | 17% | 18 Jun → | |
| 13–3 | 0.01 | 17% | 18 Jun → | ||
| office | 13–8 | 0.00 | 13% | 17 Jun → | |
| office | 8–13 | 0.03 | 21% | 17 Jun → | |
| 3–13 | -0.01 | 10% | 17 Jun → | ||
| 13–11 | 0.15 | 19% | 17 Jun → | ||
| office | 13–11 | -0.02 | 19% | 16 Jun → | |
| office | 13–8 | 0.11 | 9% | 14 Jun → | |
| office | 13–6 | -0.00 | 26% | 11 Jun → | |
| 13–2 | 0.06 | 21% | 7 Jun → | ||
| 13–5 | 0.10 | 12% | 7 Jun → | ||
| 13–9 | 0.03 | 11% | 9 May → | ||
| 13–10 | 0.02 | 10% | 9 May → | ||
| 5–13 | -0.07 | 25% | 9 May → | ||
| 7–13 | 0.05 | 9% | 9 May → | ||
| 9–13 | -0.02 | 11% | 8 May → | ||
| 1–13 | -0.05 | 7% | 8 May → | ||
| 8–13 | 0.03 | 23% | 8 May → | ||
| 2–3 | -0.06 | 17% | 8 May → | ||
| 8–13 | -0.06 | 7% | 8 May → | ||
| 13–10 | 0.02 | 8% | 2 May → | ||
| 13–5 | 0.03 | 11% | 2 May → | ||
| 4–13 | -0.05 | 7% | 2 May → | ||
| 13–8 | -0.04 | 10% | 2 May → | ||
| 13–4 | -0.06 | 23% | 30 Apr → | ||
| 11–13 | -0.08 | 6% | 30 Apr → | ||
| 13–6 | -0.03 | 16% | 30 Apr → | ||
| 9–13 | -0.06 | 6% | 30 Apr → | ||
| 6–13 | 0.00 | 7% | 30 Apr → | ||
| 13–3 | 0.04 | 16% | 29 Apr → | ||
| 13–8 | -0.02 | 18% | 29 Apr → | ||
| 14–16 | -0.03 | 4% | 29 Apr → |
Match data via Leetify.