LordAvisa — CS2 Stats
76561199454207988[U:1:1493942260]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 81% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 642ms 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 4.5/10 (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 |
|---|---|---|---|---|---|
| B | 32 | 15–17 | 47% | -0.03 | |
| B | 20 | 9–11 | 45% | -0.02 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.05 | |
| S | 7 | 5–2 | 71% | -0.05 | |
| S | 5 | 4–1 | 80% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| office | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 36% | 0.92 | 15.1 |
| Dust2 | 6 | 67% | 1.06 | 17.2 |
| Cache | 6 | 67% | 1.04 | 14.8 |
| Inferno | 5 | 80% | 0.67 | 9.4 |
| Ancient | 4 | 50% | 0.76 | 12.0 |
| Nuke | 4 | 0% | 0.58 | 10.0 |
| Vertigo | 2 | 0% | 0.84 | 15.5 |
| Anubis | 1 | 0% | 1.00 | 20.0 |
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 14.67% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3736 — below the 0.5 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 27.9866% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 12% | 20 Aug → | ||
| 10–13 | -0.01 | 11% | 20 Aug → | ||
| 13–2 | -0.04 | 8% | 19 Aug → | ||
| 11–13 | -0.03 | 6% | 19 Aug → | ||
| 13–10 | 0.00 | 24% | 19 Aug → | ||
| 4–9 | -0.01 | 16% | 18 Aug → | ||
| 16–13 | -0.03 | 7% | 18 Aug → | ||
| 13–9 | -0.03 | 12% | 18 Aug → | ||
| 7–13 | 0.00 | 21% | 17 Aug → | ||
| 6–13 | -0.08 | 20% | 17 Aug → | ||
| 15–15 | -0.01 | 15% | 17 Aug → | ||
| 4–9 | -0.09 | 16% | 17 Aug → | ||
| 9–7 | -0.00 | 13% | 17 Aug → | ||
| 12–16 | -0.04 | 13% | 16 Aug → | ||
| 13–10 | -0.03 | 24% | 15 Aug → | ||
| 0–3 | -0.02 | 0% | 14 Aug → | ||
| 4–13 | -0.08 | 4% | 14 Aug → | ||
| 13–1 | 0.02 | 6% | 14 Aug → | ||
| 13–8 | 0.06 | 21% | 13 Aug → | ||
| 9–13 | -0.06 | 12% | 13 Aug → | ||
| 13–9 | -0.08 | 13% | 11 Aug → | ||
| 13–11 | -0.02 | 12% | 7 Aug → | ||
| office | 13–10 | 0.05 | 23% | 6 Aug → | |
| 13–4 | 0.09 | 16% | 6 Aug → | ||
| 11–5 | -0.13 | 0% | 6 Aug → | ||
| 13–0 | 0.12 | 17% | 6 Aug → | ||
| 9–13 | -0.12 | 0% | 3 Aug → | ||
| 3–2 | 0.05 | 31% | 3 Aug → | ||
| 13–11 | -0.02 | 19% | 3 Aug → | ||
| 7–13 | -0.07 | 18% | 24 Jun → | ||
| 12–14 | -0.05 | 14% | 8 Jun → | ||
| 13–5 | -0.00 | 28% | 30 May → | ||
| 5–13 | -0.05 | 22% | 30 May → | ||
| 13–4 | -0.04 | 33% | 30 May → | ||
| 8–13 | -0.03 | 24% | 24 May → | ||
| 4–13 | 0.00 | 10% | 18 May → | ||
| 6–13 | -0.06 | 18% | 12 May → | ||
| 13–10 | -0.05 | 13% | 12 May → | ||
| 4–6 | -0.10 | 0% | 11 May → | ||
| 7–13 | -0.04 | 19% | 10 May → | ||
| 6–13 | -0.08 | 5% | 7 May → | ||
| 11–13 | 0.00 | 13% | 5 May → | ||
| 5–13 | -0.08 | 13% | 5 May → | ||
| 13–5 | -0.05 | 16% | 3 May → | ||
| 13–3 | 0.06 | 21% | 28 Apr → | ||
| 13–4 | 0.05 | 18% | 28 Apr → | ||
| 8–13 | -0.03 | 18% | 28 Apr → | ||
| 13–0 | 0.03 | 20% | 26 Apr → | ||
| 1–6 | -0.11 | 33% | 25 Apr → | ||
| 13–4 | -0.03 | 13% | 25 Apr → | ||
| 13–9 | -0.06 | 26% | 25 Apr → | ||
| 13–6 | 0.02 | 15% | 25 Apr → | ||
| 13–10 | 0.02 | 24% | 24 Apr → | ||
| 12–16 | -0.05 | 15% | 24 Apr → | ||
| 13–4 | -0.01 | 17% | 22 Apr → | ||
| 15–15 | -0.09 | 15% | 22 Apr → | ||
| 13–11 | 0.01 | 11% | 21 Apr → | ||
| 13–4 | -0.01 | 18% | 16 Apr → | ||
| 11–13 | -0.02 | 8% | 16 Apr → | ||
| 13–6 | -0.03 | 13% | 15 Apr → | ||
| 13–9 | -0.06 | 18% | 15 Apr → | ||
| 11–13 | 0.00 | 8% | 11 Apr → | ||
| 7–13 | -0.02 | 12% | 11 Apr → | ||
| 11–13 | -0.01 | 20% | 9 Apr → | ||
| 13–6 | -0.02 | 22% | 9 Apr → | ||
| 13–10 | -0.06 | 18% | 9 Apr → | ||
| 13–4 | -0.04 | 22% | 9 Apr → | ||
| 13–11 | -0.02 | 23% | 9 Apr → | ||
| 10–13 | -0.04 | 16% | 8 Apr → | ||
| 13–9 | 0.00 | 25% | 8 Apr → | ||
| 13–8 | -0.01 | 17% | 8 Apr → | ||
| 16–12 | 0.02 | 20% | 6 Apr → | ||
| 10–13 | -0.04 | 23% | 5 Apr → | ||
| 13–16 | -0.09 | 20% | 5 Apr → | ||
| 7–13 | -0.04 | 8% | 5 Apr → | ||
| 10–13 | -0.05 | 18% | 5 Apr → | ||
| 9–13 | -0.05 | 13% | 5 Apr → | ||
| 6–13 | -0.09 | 8% | 4 Apr → | ||
| 6–13 | -0.06 | 14% | 4 Apr → | ||
| 13–9 | 0.05 | 13% | 4 Apr → | ||
| 5–10 | 0.01 | 18% | 4 Apr → | ||
| 8–5 | 0.01 | 10% | 3 Apr → | ||
| 8–13 | -0.06 | 15% | 3 Apr → | ||
| 13–5 | 0.02 | 14% | 3 Apr → | ||
| 13–3 | -0.05 | 24% | 2 Apr → | ||
| 13–4 | 0.02 | 13% | 2 Apr → | ||
| 2–13 | -0.01 | 42% | 2 Apr → | ||
| 13–10 | 0.04 | 11% | 2 Apr → | ||
| 2–5 | -0.07 | 0% | 1 Apr → | ||
| 13–10 | -0.00 | 19% | 1 Apr → | ||
| 8–13 | -0.03 | 11% | 1 Apr → | ||
| 6–13 | -0.05 | 40% | 1 Apr → | ||
| 4–13 | -0.04 | 12% | 31 Mar → | ||
| 9–13 | -0.04 | 8% | 30 Mar → | ||
| 13–10 | -0.04 | 9% | 30 Mar → | ||
| 13–9 | 0.04 | 8% | 25 Mar → | ||
| 13–7 | -0.04 | 15% | 25 Mar → | ||
| 7–13 | -0.05 | 18% | 24 Mar → | ||
| 13–0 | 0.09 | 24% | 24 Mar → | ||
| 9–13 | -0.02 | 13% | 23 Mar → |
Match data via Leetify.