[LUNA] Goated With The Source λ — CS2 Stats
ZA76561199081966737[U:1:1121701009]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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.
| Metric | This player | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 53.3% | 40.1% | above |
| Shot accuracy | 0.0% | 7.6% | 7.6% short |
| Kill/death ratio | 0.98 | 0.92 | above |
| Match win rate | 43.6% | 42.2% | above |
This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
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 ropz 82% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 659ms 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
Composite 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| D | 29 | 5–24 | 17% | -0.01 | |
| A | 22 | 13–9 | 59% | 0.01 | |
| A | 21 | 12–9 | 57% | -0.01 | |
| D | 11 | 3–8 | 27% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| S | 5 | 4–1 | 80% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 29). Start with the 6 essential Inferno 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.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8152 — below the 4 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.4639% — 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.
17% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 25% | 27 Aug → | ||
| 4–13 | -0.03 | 23% | 27 Aug → | ||
| 13–0 | 0.06 | 10% | 27 Aug → | ||
| 15–15 | -0.01 | 13% | 27 Aug → | ||
| 13–2 | 0.07 | 7% | 27 Aug → | ||
| 12–12 | -0.05 | 13% | 26 Aug → | ||
| 13–5 | 0.09 | 30% | 25 Aug → | ||
| 5–13 | -0.04 | 13% | 25 Aug → | ||
| 13–8 | 0.02 | 11% | 24 Aug → | ||
| 6–13 | -0.07 | 9% | 21 Aug → | ||
| 5–13 | 0.01 | 18% | 20 Aug → | ||
| 11–13 | -0.06 | 20% | 20 Aug → | ||
| 8–13 | -0.01 | 24% | 20 Aug → | ||
| 6–13 | -0.01 | 21% | 20 Aug → | ||
| 13–2 | -0.01 | 26% | 19 Aug → | ||
| 11–13 | 0.02 | 20% | 19 Aug → | ||
| 3–13 | 0.06 | 15% | 19 Aug → | ||
| 13–2 | 0.08 | 10% | 18 Aug → | ||
| 13–7 | 0.12 | 12% | 18 Aug → | ||
| 5–13 | 0.05 | 23% | 16 Aug → | ||
| 10–13 | 0.03 | 17% | 16 Aug → | ||
| 7–13 | 0.05 | 21% | 16 Aug → | ||
| 4–13 | -0.01 | 12% | 16 Aug → | ||
| 1–13 | -0.02 | 21% | 16 Aug → | ||
| 11–13 | 0.03 | 16% | 14 Aug → | ||
| 6–13 | 0.03 | 17% | 14 Aug → | ||
| 13–8 | -0.02 | 14% | 13 Aug → | ||
| 0–13 | -0.05 | 12% | 13 Aug → | ||
| 1–13 | -0.06 | 27% | 12 Aug → | ||
| 9–13 | 0.06 | 23% | 12 Aug → | ||
| 11–13 | 0.01 | 23% | 12 Aug → | ||
| 13–16 | -0.00 | 12% | 12 Aug → | ||
| 13–10 | 0.04 | 21% | 12 Aug → | ||
| 13–4 | 0.04 | 24% | 10 Aug → | ||
| 13–9 | -0.07 | 14% | 10 Aug → | ||
| 10–13 | -0.06 | 16% | 10 Aug → | ||
| 13–9 | 0.07 | 20% | 10 Aug → | ||
| 5–13 | -0.04 | 8% | 10 Aug → | ||
| 13–7 | 0.01 | 18% | 10 Aug → | ||
| 13–10 | 0.01 | 14% | 9 Aug → | ||
| 13–6 | 0.02 | 7% | 9 Aug → | ||
| 13–7 | -0.01 | 17% | 9 Aug → | ||
| 4–13 | 0.03 | 19% | 9 Aug → | ||
| 5–13 | 0.01 | 21% | 9 Aug → | ||
| 16–14 | 0.03 | 24% | 9 Aug → | ||
| 13–4 | -0.03 | 17% | 9 Aug → | ||
| 3–13 | -0.03 | 11% | 9 Aug → | ||
| 15–15 | -0.04 | 16% | 9 Aug → | ||
| 13–5 | -0.00 | 9% | 8 Aug → | ||
| 10–13 | 0.07 | 14% | 7 Aug → | ||
| 13–9 | 0.00 | 17% | 7 Aug → | ||
| 3–13 | -0.02 | 15% | 7 Aug → | ||
| 13–10 | -0.06 | 23% | 6 Aug → | ||
| 11–13 | -0.09 | 12% | 6 Aug → | ||
| 15–15 | -0.03 | 20% | 6 Aug → | ||
| 6–13 | 0.02 | 14% | 6 Aug → | ||
| 13–11 | 0.09 | 15% | 6 Aug → | ||
| 3–13 | -0.07 | 5% | 6 Aug → | ||
| 6–13 | -0.06 | 13% | 6 Aug → | ||
| 13–2 | 0.01 | 30% | 6 Aug → | ||
| 14–16 | 0.07 | 20% | 6 Aug → | ||
| 5–13 | -0.10 | 29% | 5 Aug → | ||
| 9–13 | 0.01 | 19% | 5 Aug → | ||
| 10–13 | -0.07 | 12% | 5 Aug → | ||
| 6–13 | 0.07 | 16% | 5 Aug → | ||
| 13–6 | -0.02 | 18% | 5 Aug → | ||
| 3–13 | -0.00 | 30% | 5 Aug → | ||
| 13–2 | 0.04 | 17% | 5 Aug → | ||
| 4–13 | -0.06 | 8% | 5 Aug → | ||
| 13–9 | -0.03 | 12% | 5 Aug → | ||
| 5–13 | -0.12 | 17% | 5 Aug → | ||
| 2–13 | -0.02 | 11% | 4 Aug → | ||
| 11–13 | -0.06 | 28% | 4 Aug → | ||
| 13–2 | 0.07 | 39% | 4 Aug → | ||
| 13–11 | 0.02 | 15% | 4 Aug → | ||
| 10–13 | 0.02 | 10% | 2 Aug → | ||
| 13–10 | -0.07 | 12% | 2 Aug → | ||
| 6–13 | -0.03 | 11% | 31 Jul → | ||
| 13–6 | -0.00 | 20% | 31 Jul → | ||
| 10–13 | 0.06 | 10% | 26 Jul → | ||
| 13–0 | 0.09 | 42% | 26 Jul → | ||
| 8–13 | 0.03 | 23% | 26 Jul → | ||
| 13–6 | 0.02 | 18% | 26 Jul → | ||
| 13–8 | -0.01 | 13% | 25 Jul → | ||
| 4–13 | -0.01 | 11% | 25 Jul → | ||
| 9–13 | -0.03 | 18% | 25 Jul → | ||
| 10–13 | -0.05 | 21% | 25 Jul → | ||
| 13–7 | -0.07 | 12% | 25 Jul → | ||
| 4–13 | 0.00 | 10% | 24 Jul → | ||
| 11–13 | -0.01 | 8% | 24 Jul → | ||
| 13–10 | 0.05 | 13% | 23 Jul → | ||
| 5–13 | -0.06 | 8% | 23 Jul → | ||
| 13–10 | 0.03 | 17% | 23 Jul → | ||
| 5–13 | -0.00 | 19% | 23 Jul → | ||
| 6–13 | 0.02 | 13% | 23 Jul → | ||
| 13–10 | 0.01 | 24% | 22 Jul → | ||
| 13–10 | -0.05 | 20% | 22 Jul → | ||
| 11–13 | -0.07 | 15% | 22 Jul → | ||
| 13–6 | -0.04 | 13% | 22 Jul → | ||
| 13–11 | 0.01 | 14% | 21 Jul → |
Match data via Leetify.