GoodLy — CS2 Stats
76561198026854014[U:1:66588286]✓ No bans
Rating over time
Premier CS Rating
- At peak — 25,788
- Next: Gold band at 30,000 — 4,212 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesHigh utility contribution
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 jL 91% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Strengths
Flashes. 0.84 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 30% 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| C | 35 | 14–21 | 40% | 0.00 | |
| A | 20 | 11–9 | 55% | 0.02 | |
| S | 15 | 13–2 | 87% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 62 | 56% | 1.08 | 16.3 |
| Inferno | 27 | 52% | 1.08 | 16.7 |
| Vertigo | 26 | 50% | 1.05 | 17.0 |
| Anubis | 22 | 64% | 1.24 | 17.4 |
| Ancient | 7 | 43% | 1.15 | 18.9 |
| Overpass | 3 | 67% | 1.06 | 21.3 |
| Nuke | 2 | 0% | 0.74 | 14.5 |
| Dust2 | 1 | 0% | 0.44 | 8.0 |
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 14.3508% — 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 30.3821% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 16% | 18 Aug → | ||
| 5–13 | -0.07 | 23% | 18 Aug → | ||
| 13–10 | 0.00 | 9% | 18 Aug → | ||
| 2–13 | -0.08 | 16% | 15 Aug → | ||
| 13–2 | 0.05 | 15% | 15 Aug → | ||
| 13–7 | 0.04 | 17% | 14 Aug → | ||
| 4–13 | -0.04 | 20% | 6 Aug → | ||
| 16–12 | 0.01 | 14% | 6 Aug → | ||
| 13–10 | -0.02 | 24% | 5 Aug → | ||
| 2–13 | -0.08 | 0% | 5 Aug → | ||
| 6–13 | 0.01 | 11% | 5 Aug → | ||
| 9–13 | -0.04 | 13% | 5 Aug → | ||
| 13–11 | 0.00 | 14% | 5 Aug → | ||
| 9–13 | 0.01 | 11% | 3 Aug → | ||
| 13–7 | 0.06 | 11% | 3 Aug → | ||
| 13–7 | -0.02 | 10% | 3 Aug → | ||
| 7–13 | -0.08 | 4% | 1 Aug → | ||
| 13–7 | -0.05 | 2% | 1 Aug → | ||
| 11–13 | -0.00 | 14% | 1 Aug → | ||
| 5–13 | -0.02 | 11% | 31 Jul → | ||
| 13–6 | 0.06 | 16% | 31 Jul → | ||
| 13–3 | 0.07 | 5% | 31 Jul → | ||
| 13–10 | 0.04 | 17% | 21 Jul → | ||
| 7–13 | -0.05 | 20% | 21 Jul → | ||
| 8–13 | 0.03 | 20% | 20 Jul → | ||
| 13–6 | 0.04 | 14% | 20 Jul → | ||
| 1–13 | -0.08 | 17% | 20 Jul → | ||
| 13–11 | 0.09 | 25% | 20 Jul → | ||
| 16–14 | 0.06 | 19% | 20 Jul → | ||
| 8–13 | 0.02 | 15% | 20 Jul → | ||
| 13–4 | 0.00 | 14% | 20 Jul → | ||
| 13–3 | -0.00 | 25% | 19 Jul → | ||
| 13–7 | 0.04 | 23% | 15 Jul → | ||
| 9–13 | -0.02 | 15% | 15 Jul → | ||
| 13–9 | -0.00 | 9% | 15 Jul → | ||
| 13–5 | -0.04 | 26% | 8 Jul → | ||
| 13–10 | 0.11 | 9% | 8 Jul → | ||
| 13–1 | 0.18 | 10% | 8 Jul → | ||
| 12–12 | -0.02 | 13% | 8 Jul → | ||
| 12–12 | 0.02 | 13% | 8 Jul → | ||
| 10–13 | 0.08 | 15% | 7 Jul → | ||
| 8–13 | -0.01 | 11% | 7 Jul → | ||
| 13–7 | 0.04 | 10% | 7 Jul → | ||
| 8–13 | 0.08 | 14% | 7 Jul → | ||
| 13–3 | 0.01 | 9% | 4 Jul → | ||
| 9–4 | 0.08 | 7% | 4 Jul → | ||
| 8–13 | -0.02 | 10% | 4 Jul → | ||
| 12–12 | -0.01 | 12% | 4 Jul → | ||
| 8–13 | 0.06 | 15% | 4 Jul → | ||
| 13–2 | 0.07 | 16% | 4 Jul → | ||
| 13–2 | 0.09 | 16% | 1 Jul → | ||
| 7–13 | -0.01 | 10% | 1 Jul → | ||
| 12–12 | 0.02 | 20% | 1 Jul → | ||
| 13–10 | 0.00 | 18% | 26 Jun → | ||
| 10–13 | -0.03 | 20% | 26 Jun → | ||
| 13–9 | -0.03 | 11% | 24 Jun → | ||
| 8–13 | 0.00 | 9% | 24 Jun → | ||
| 13–7 | 0.07 | 20% | 24 Jun → | ||
| 15–15 | 0.03 | 17% | 23 Jun → | ||
| 0–13 | -0.01 | 36% | 1 Jun → | ||
| 1–6 | -0.04 | 47% | 27 May → | ||
| 4–13 | -0.02 | 37% | 27 May → | ||
| 4–13 | -0.02 | 12% | 26 May → | ||
| 10–13 | 0.07 | 11% | 26 May → | ||
| 13–10 | 0.05 | 14% | 26 May → | ||
| 14–16 | 0.00 | 10% | 26 May → | ||
| 10–13 | -0.02 | 11% | 20 May → | ||
| 13–6 | 0.07 | 14% | 20 May → | ||
| 13–16 | -0.01 | 13% | 20 May → | ||
| 5–13 | 0.04 | 19% | 13 May → | ||
| 11–13 | -0.01 | 14% | 13 May → | ||
| 7–4 | 0.03 | 22% | 13 May → | ||
| 11–13 | -0.01 | 13% | 12 May → | ||
| 13–6 | -0.04 | 13% | 12 May → | ||
| 8–13 | 0.01 | 26% | 12 May → | ||
| 13–7 | 0.10 | 21% | 12 May → | ||
| 13–10 | -0.02 | 15% | 12 May → | ||
| 13–5 | 0.11 | 13% | 11 May → | ||
| 13–8 | -0.03 | 15% | 5 May → | ||
| 13–3 | 0.07 | 20% | 5 May → | ||
| 13–9 | -0.05 | 11% | 5 May → | ||
| 13–8 | 0.02 | 17% | 5 May → | ||
| 9–13 | 0.04 | 19% | 4 May → | ||
| 9–1 | 0.01 | 10% | 4 May → | ||
| 15–15 | -0.07 | 18% | 4 May → | ||
| 13–9 | 0.02 | 2% | 4 May → | ||
| 15–15 | 0.02 | 9% | 4 May → | ||
| 11–13 | 0.01 | 9% | 29 Apr → | ||
| 13–11 | 0.01 | 15% | 29 Apr → | ||
| 4–13 | -0.03 | 10% | 29 Apr → | ||
| 13–7 | 0.04 | 15% | 29 Apr → | ||
| 5–13 | 0.06 | 25% | 29 Apr → | ||
| 13–10 | 0.04 | 15% | 29 Apr → | ||
| 13–2 | 0.05 | 22% | 28 Apr → | ||
| 6–13 | 0.02 | 18% | 28 Apr → | ||
| 13–7 | -0.08 | 21% | 22 Apr → | ||
| 6–13 | -0.01 | 19% | 21 Apr → | ||
| 13–6 | 0.01 | 11% | 21 Apr → | ||
| 13–8 | 0.05 | 21% | 21 Apr → | ||
| 13–16 | -0.01 | 12% | 21 Apr → |
Match data via Leetify.