the_L1ft — CS2 Stats
US76561198267296867[U:1:307031139]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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashes
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 92% playstyle similarity
Most alike: opening-fight frequency, 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
T-side openings. Opening success drops from 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 569ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 dust2 | A | 22 | 14–8 | 64% | -0.01 |
 mirage | A | 16 | 10–6 | 63% | -0.01 |
 inferno | B | 14 | 7–7 | 50% | -0.02 |
 cache | B | 14 | 7–7 | 50% | 0.00 |
 nuke | B | 11 | 5–6 | 45% | 0.00 |
 ancient | B | 8 | 4–4 | 50% | -0.01 |
 anubis | C | 7 | 3–4 | 43% | -0.01 |
 overpass | A | 7 | 4–3 | 57% | -0.01 |
 train | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (43% over 7). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 80 | 54% | 0.86 | 14.8 |
| Dust2 | 63 | 51% | 0.81 | 13.8 |
| Inferno | 59 | 59% | 0.84 | 14.8 |
| Cache | 20 | 45% | 0.77 | 13.9 |
| Ancient | 18 | 56% | 0.92 | 16.1 |
| Nuke | 14 | 43% | 0.78 | 12.6 |
| Overpass | 14 | 64% | 0.90 | 15.8 |
| Anubis | 13 | 31% | 0.85 | 13.3 |
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 32.9552% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–8 | 0.04 | 27% | 1 Aug → | |
| ancient | 8–13 | -0.03 | 29% | 31 Jul → | |
| dust2 | 10–13 | 0.06 | 32% | 31 Jul → | |
| dust2 | 4–13 | -0.06 | 22% | 27 Jul → | |
| cache | 16–13 | -0.03 | 20% | 27 Jul → | |
| mirage | 14–16 | -0.06 | 20% | 26 Jul → | |
| cache | 13–11 | 0.01 | 14% | 25 Jul → | |
| mirage | 13–9 | -0.00 | 19% | 23 Jul → | |
| anubis | 13–5 | 0.02 | 33% | 23 Jul → | |
| dust2 | 13–8 | -0.02 | 26% | 22 Jul → | |
| inferno | 13–11 | 0.10 | 25% | 21 Jul → | |
| mirage | 13–7 | 0.09 | 30% | 21 Jul → | |
| mirage | 13–9 | -0.03 | 13% | 21 Jul → | |
| cache | 9–13 | 0.02 | 40% | 21 Jul → | |
| ancient | 13–11 | 0.00 | 21% | 21 Jul → | |
| nuke | 13–10 | 0.01 | 30% | 21 Jul → | |
| inferno | 12–16 | -0.01 | 25% | 20 Jul → | |
| cache | 13–10 | -0.01 | 13% | 19 Jul → | |
| mirage | 16–14 | -0.03 | 26% | 19 Jul → | |
| dust2 | 13–3 | 0.03 | 28% | 18 Jul → | |
| cache | 2–13 | -0.06 | 33% | 18 Jul → | |
| nuke | 3–13 | -0.04 | 26% | 18 Jul → | |
| nuke | 6–13 | -0.06 | 13% | 18 Jul → | |
| dust2 | 13–7 | 0.03 | 36% | 18 Jul → | |
| ancient | 13–11 | 0.02 | 29% | 18 Jul → | |
| dust2 | 13–6 | 0.11 | 29% | 17 Jul → | |
| inferno | 13–10 | 0.01 | 23% | 17 Jul → | |
| nuke | 13–10 | 0.11 | 32% | 17 Jul → | |
| nuke | 8–13 | -0.08 | 24% | 17 Jul → | |
| dust2 | 8–13 | 0.02 | 20% | 15 Jul → | |
| cache | 13–7 | 0.07 | 36% | 15 Jul → | |
| anubis | 10–13 | 0.01 | 15% | 15 Jul → | |
| nuke | 9–13 | 0.02 | 18% | 15 Jul → | |
| inferno | 9–13 | -0.04 | 16% | 15 Jul → | |
| dust2 | 6–13 | -0.03 | 8% | 14 Jul → | |
| dust2 | 13–6 | 0.01 | 24% | 14 Jul → | |
| dust2 | 13–7 | 0.00 | 13% | 14 Jul → | |
| cache | 10–13 | 0.05 | 40% | 13 Jul → | |
| cache | 8–13 | -0.06 | 18% | 13 Jul → | |
| dust2 | 10–13 | -0.04 | 24% | 13 Jul → | |
| cache | 9–13 | -0.03 | 38% | 12 Jul → | |
| cache | 13–7 | 0.03 | 25% | 12 Jul → | |
| ancient | 5–13 | -0.04 | 19% | 12 Jul → | |
| mirage | 13–7 | -0.02 | 23% | 11 Jul → | |
| dust2 | 13–11 | -0.05 | 16% | 11 Jul → | |
| dust2 | 13–7 | -0.04 | 8% | 11 Jul → | |
| inferno | 13–16 | -0.00 | 18% | 10 Jul → | |
| cache | 13–8 | 0.01 | 24% | 10 Jul → | |
| anubis | 8–13 | -0.03 | 18% | 10 Jul → | |
| dust2 | 0–3 | 0.02 | 0% | 10 Jul → | |
| cache | 15–15 | 0.01 | 18% | 10 Jul → | |
| dust2 | 13–8 | -0.05 | 27% | 9 Jul → | |
| cache | 9–13 | -0.07 | 10% | 9 Jul → | |
| mirage | 1–13 | -0.05 | 17% | 9 Jul → | |
| mirage | 13–5 | 0.02 | 24% | 9 Jul → | |
| anubis | 9–13 | -0.02 | 17% | 9 Jul → | |
| ancient | 13–11 | 0.04 | 41% | 9 Jul → | |
| cache | 13–5 | 0.10 | 32% | 9 Jul → | |
| train | 13–9 | 0.03 | 24% | 7 Jul → | |
| overpass | 9–13 | -0.02 | 11% | 4 Jul → | |
| mirage | 17–19 | -0.06 | 23% | 4 Jul → | |
| dust2 | 14–16 | -0.04 | 19% | 4 Jul → | |
| dust2 | 13–11 | -0.02 | 22% | 3 Jul → | |
| nuke | 13–10 | 0.01 | 22% | 3 Jul → | |
| inferno | 8–13 | 0.00 | 21% | 2 Jul → | |
| nuke | 13–8 | -0.00 | 17% | 1 Jul → | |
| mirage | 11–13 | -0.02 | 24% | 1 Jul → | |
| mirage | 13–7 | 0.06 | 19% | 1 Jul → | |
| overpass | 7–13 | -0.01 | 19% | 30 Jun → | |
| overpass | 8–13 | -0.04 | 13% | 30 Jun → | |
| inferno | 13–7 | -0.05 | 22% | 30 Jun → | |
| inferno | 10–13 | -0.10 | 28% | 30 Jun → | |
| overpass | 13–9 | -0.05 | 29% | 30 Jun → | |
| anubis | 13–8 | -0.03 | 28% | 30 Jun → | |
| dust2 | 13–4 | -0.01 | 13% | 29 Jun → | |
| ancient | 2–3 | -0.01 | 15% | 29 Jun → | |
| dust2 | 13–7 | -0.04 | 16% | 29 Jun → | |
| inferno | 13–10 | 0.01 | 18% | 29 Jun → | |
| dust2 | 15–15 | -0.00 | 23% | 29 Jun → | |
| ancient | 14–16 | -0.06 | 23% | 29 Jun → | |
| ancient | 13–4 | 0.04 | 17% | 29 Jun → | |
| anubis | 11–13 | -0.02 | 36% | 28 Jun → | |
| mirage | 13–7 | 0.02 | 24% | 28 Jun → | |
| dust2 | 13–3 | -0.02 | 25% | 28 Jun → | |
| mirage | 14–16 | 0.01 | 21% | 28 Jun → | |
| anubis | 13–11 | -0.01 | 29% | 28 Jun → | |
| nuke | 7–13 | -0.03 | 17% | 28 Jun → | |
| mirage | 6–13 | -0.08 | 12% | 28 Jun → | |
| inferno | 6–13 | -0.10 | 23% | 28 Jun → | |
| inferno | 13–9 | -0.08 | 17% | 28 Jun → | |
| nuke | 10–13 | 0.01 | 30% | 28 Jun → | |
| inferno | 13–16 | -0.03 | 16% | 27 Jun → | |
| nuke | 13–5 | 0.06 | 28% | 27 Jun → | |
| overpass | 16–12 | -0.01 | 15% | 27 Jun → | |
| dust2 | 13–8 | -0.03 | 11% | 27 Jun → | |
| mirage | 13–9 | -0.01 | 15% | 27 Jun → | |
| overpass | 13–11 | 0.01 | 27% | 27 Jun → | |
| overpass | 13–6 | 0.07 | 22% | 27 Jun → | |
| mirage | 13–8 | 0.03 | 19% | 27 Jun → | |
| inferno | 13–9 | -0.03 | 19% | 26 Jun → |
Match data via Leetify.
