Lantern — CS2 Stats
US76561197993141005[U:1:32875277]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 iM 91% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: higher opening-fight frequency.
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
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 68% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 559ms 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 6.0/10 (Solid), 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 | 40 | 20–20 | 50% | 0.03 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 62% | 0.92 | 17.3 |
| Inferno | 7 | 57% | 1.26 | 16.4 |
| Dust2 | 6 | 50% | 1.14 | 15.3 |
| Train | 5 | 80% | 1.39 | 19.6 |
| Ancient | 4 | 75% | 1.82 | 21.0 |
| Nuke | 4 | 50% | 0.80 | 12.8 |
| Overpass | 3 | 67% | 0.91 | 10.7 |
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.
- 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 37.3448% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.06 | 13% | 28 Aug → | ||
| 7–13 | -0.05 | 15% | 28 Aug → | ||
| 12–12 | 0.05 | 14% | 28 Aug → | ||
| 13–8 | -0.03 | 17% | 28 Aug → | ||
| 6–13 | -0.02 | 12% | 28 Aug → | ||
| 8–13 | 0.00 | 27% | 28 Aug → | ||
| 13–3 | 0.05 | 21% | 28 Aug → | ||
| 12–12 | -0.02 | 8% | 27 Aug → | ||
| 13–3 | 0.07 | 22% | 25 Aug → | ||
| 4–13 | -0.03 | 22% | 24 Aug → | ||
| 13–8 | 0.08 | 15% | 24 Aug → | ||
| 10–13 | 0.09 | 17% | 24 Aug → | ||
| 12–12 | 0.09 | 13% | 24 Aug → | ||
| 7–13 | -0.07 | 13% | 24 Aug → | ||
| 6–13 | 0.07 | 13% | 24 Aug → | ||
| 5–13 | 0.00 | 14% | 24 Aug → | ||
| 13–6 | 0.00 | 9% | 24 Aug → | ||
| 13–6 | -0.02 | 17% | 21 Aug → | ||
| 13–6 | -0.01 | 17% | 21 Aug → | ||
| 13–10 | 0.03 | 27% | 20 Aug → | ||
| 13–9 | 0.02 | 16% | 20 Aug → | ||
| 13–4 | -0.04 | 19% | 20 Aug → | ||
| 8–13 | -0.00 | 8% | 20 Aug → | ||
| 8–13 | -0.03 | 12% | 20 Aug → | ||
| 12–12 | -0.02 | 12% | 20 Aug → | ||
| 8–13 | -0.00 | 19% | 20 Aug → | ||
| 13–10 | 0.07 | 19% | 20 Aug → | ||
| 13–4 | 0.07 | 13% | 19 Aug → | ||
| 12–12 | 0.09 | 22% | 19 Aug → | ||
| 13–4 | -0.01 | 3% | 18 Aug → | ||
| 7–13 | 0.04 | 16% | 18 Aug → | ||
| 9–13 | -0.03 | 16% | 18 Aug → | ||
| 13–4 | 0.03 | 6% | 18 Aug → | ||
| 10–13 | 0.01 | 16% | 18 Aug → | ||
| 13–11 | 0.02 | 18% | 17 Aug → | ||
| 13–5 | 0.04 | 16% | 17 Aug → | ||
| 13–2 | 0.07 | 11% | 17 Aug → | ||
| 10–13 | -0.02 | 10% | 17 Aug → | ||
| 11–13 | -0.04 | 12% | 17 Aug → | ||
| 7–13 | 0.05 | 29% | 16 Aug → | ||
| 13–7 | 0.06 | 22% | 16 Aug → | ||
| 13–3 | 0.04 | 9% | 16 Aug → | ||
| 12–12 | -0.08 | 15% | 16 Aug → | ||
| 13–1 | -0.07 | 11% | 16 Aug → | ||
| 13–2 | 0.05 | 20% | 16 Aug → | ||
| 10–13 | -0.01 | 25% | 14 Aug → | ||
| 9–13 | 0.02 | 17% | 14 Aug → | ||
| 11–13 | -0.05 | 18% | 14 Aug → | ||
| 13–0 | 0.07 | 18% | 14 Aug → | ||
| 13–5 | 0.02 | 19% | 14 Aug → | ||
| 12–12 | 0.02 | 8% | 14 Aug → | ||
| 13–7 | 0.03 | 13% | 13 Aug → | ||
| 13–7 | -0.05 | 10% | 13 Aug → | ||
| 13–5 | -0.00 | 12% | 13 Aug → | ||
| 13–1 | 0.12 | 10% | 13 Aug → | ||
| 12–12 | 0.03 | 15% | 13 Aug → | ||
| 5–13 | 0.02 | 18% | 13 Aug → | ||
| 13–1 | -0.01 | 10% | 13 Aug → | ||
| 13–10 | 0.01 | 25% | 12 Aug → | ||
| 13–7 | 0.14 | 17% | 12 Aug → | ||
| 12–12 | 0.06 | 14% | 12 Aug → | ||
| 13–9 | 0.12 | 26% | 12 Aug → | ||
| 12–12 | -0.01 | 18% | 12 Aug → | ||
| 8–1 | 0.09 | 13% | 12 Aug → | ||
| 13–9 | 0.07 | 10% | 12 Aug → | ||
| 10–13 | 0.04 | 22% | 10 Aug → | ||
| 4–13 | -0.03 | 15% | 10 Aug → | ||
| 13–7 | -0.04 | 9% | 10 Aug → | ||
| 7–13 | 0.01 | 14% | 10 Aug → | ||
| 13–10 | 0.02 | 18% | 10 Aug → | ||
| 5–13 | -0.03 | 8% | 10 Aug → | ||
| 11–13 | 0.02 | 7% | 10 Aug → | ||
| 11–13 | 0.09 | 14% | 8 Aug → | ||
| 13–1 | 0.10 | 19% | 8 Aug → | ||
| 13–4 | -0.00 | 11% | 8 Aug → | ||
| 7–13 | -0.04 | 8% | 8 Aug → | ||
| 13–4 | 0.02 | 27% | 8 Aug → | ||
| 13–6 | 0.10 | 14% | 7 Aug → | ||
| 12–12 | 0.07 | 11% | 7 Aug → | ||
| 10–13 | 0.05 | 16% | 7 Aug → | ||
| 13–9 | 0.07 | 26% | 7 Aug → | ||
| 12–12 | 0.06 | 13% | 7 Aug → | ||
| 6–13 | -0.01 | 13% | 3 Aug → | ||
| 8–13 | 0.02 | 20% | 3 Aug → | ||
| 13–5 | -0.03 | 10% | 3 Aug → | ||
| 12–12 | 0.01 | 21% | 2 Aug → | ||
| 13–7 | 0.09 | 19% | 2 Aug → | ||
| 13–10 | -0.04 | 4% | 31 Jul → | ||
| 13–6 | -0.04 | 10% | 31 Jul → | ||
| 13–6 | -0.00 | 14% | 31 Jul → | ||
| 13–3 | 0.02 | 14% | 30 Jul → | ||
| 13–6 | 0.07 | 32% | 30 Jul → | ||
| 10–13 | 0.05 | 15% | 30 Jul → | ||
| 13–3 | 0.13 | 18% | 28 Jul → | ||
| 13–9 | -0.02 | 10% | 28 Jul → | ||
| 5–13 | 0.03 | 19% | 28 Jul → | ||
| 11–13 | -0.02 | 13% | 28 Jul → | ||
| 7–13 | -0.02 | 17% | 28 Jul → | ||
| 13–4 | -0.03 | 15% | 28 Jul → | ||
| 13–4 | 0.10 | 25% | 27 Jul → |
Match data via Leetify.