☣ bLIRRAN — CS2 Stats
76561197960915348[U:1:649620]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 49.0% | 51.9% |
| Shot accuracy | 8.7% | 13.7% |
| Kill/death ratio | 1.10 | 1.08 |
| Match win rate | 52.9% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 →
CSDB Rating breakdown
Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| A | 25 | 14–11 | 56% | 0.01 | |
| C | 19 | 8–11 | 42% | 0.00 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| cache_b | — | 2 | 1–1 | 50% | 0.05 |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 19). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 201 | 55% | 1.20 | 16.8 |
| Ancient | 173 | 49% | 1.08 | 16.5 |
| Dust2 | 129 | 49% | 1.07 | 16.3 |
| Mirage | 125 | 42% | 1.02 | 15.2 |
| Anubis | 115 | 50% | 1.14 | 16.4 |
| Overpass | 76 | 62% | 1.34 | 17.7 |
| Nuke | 23 | 61% | 1.10 | 17.6 |
| Cache | 20 | 45% | 1.15 | 17.2 |
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 37.6069% — 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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.01 | 23% | 25 Aug → | ||
| 13–10 | 0.06 | 22% | 12 Aug → | ||
| 13–6 | 0.12 | 11% | 12 Aug → | ||
| 16–14 | 0.01 | 24% | 12 Aug → | ||
| 11–13 | 0.03 | 28% | 10 Aug → | ||
| 5–13 | -0.07 | 30% | 10 Aug → | ||
| 11–13 | -0.00 | 18% | 10 Aug → | ||
| 13–10 | 0.03 | 22% | 10 Aug → | ||
| 13–11 | -0.01 | 50% | 9 Aug → | ||
| 16–13 | 0.05 | 27% | 9 Aug → | ||
| 13–11 | -0.02 | 10% | 6 Aug → | ||
| 9–13 | -0.01 | 21% | 6 Aug → | ||
| 8–13 | 0.02 | 24% | 4 Aug → | ||
| 11–13 | 0.03 | 18% | 4 Aug → | ||
| 13–11 | 0.00 | 15% | 4 Aug → | ||
| 11–13 | -0.03 | 25% | 31 Jul → | ||
| 9–13 | -0.03 | 15% | 31 Jul → | ||
| 14–16 | 0.01 | 21% | 15 Jul → | ||
| 11–13 | -0.04 | 20% | 15 Jul → | ||
| 4–13 | -0.02 | 41% | 13 Jul → | ||
| 11–13 | -0.09 | 17% | 13 Jul → | ||
| 13–6 | 0.06 | 33% | 13 Jul → | ||
| 13–9 | 0.04 | 22% | 13 Jul → | ||
| 19–15 | 0.04 | 24% | 6 Jul → | ||
| 12–16 | -0.02 | 25% | 29 Jun → | ||
| 13–2 | -0.05 | 25% | 29 Jun → | ||
| 10–13 | -0.05 | 15% | 26 Jun → | ||
| 13–6 | 0.02 | 21% | 26 Jun → | ||
| 5–13 | -0.01 | 20% | 26 Jun → | ||
| 13–5 | 0.06 | 6% | 25 Jun → | ||
| 13–3 | 0.11 | 16% | 25 Jun → | ||
| 13–2 | 0.15 | 26% | 25 Jun → | ||
| 5–13 | -0.07 | 3% | 21 Jun → | ||
| 5–13 | -0.04 | 22% | 21 Jun → | ||
| 13–10 | -0.00 | 26% | 17 Jun → | ||
| 2–13 | -0.00 | 33% | 17 Jun → | ||
| 13–10 | 0.02 | 29% | 16 Jun → | ||
| 16–14 | -0.04 | 17% | 16 Jun → | ||
| 9–13 | 0.03 | 21% | 10 Jun → | ||
| 9–13 | -0.02 | 21% | 10 Jun → | ||
| 8–13 | -0.06 | 15% | 10 Jun → | ||
| 16–14 | 0.00 | 27% | 6 Jun → | ||
| 13–9 | 0.09 | 18% | 6 Jun → | ||
| 13–9 | 0.07 | 18% | 5 Jun → | ||
| 4–13 | -0.06 | 24% | 3 Jun → | ||
| 2–13 | -0.03 | 21% | 3 Jun → | ||
| 13–7 | 0.02 | 16% | 27 May → | ||
| 6–13 | -0.04 | 13% | 26 May → | ||
| 9–13 | 0.03 | 18% | 19 May → | ||
| 9–13 | -0.03 | 12% | 19 May → | ||
| 13–6 | 0.00 | 24% | 19 May → | ||
| 7–13 | 0.08 | 30% | 16 May → | ||
| 9–13 | -0.00 | 8% | 16 May → | ||
| 13–9 | 0.01 | 17% | 16 May → | ||
| 12–16 | 0.05 | 20% | 14 May → | ||
| 13–4 | 0.04 | 22% | 14 May → | ||
| 13–11 | -0.01 | 17% | 13 May → | ||
| 10–13 | 0.05 | 23% | 13 May → | ||
| 13–5 | 0.05 | 24% | 13 May → | ||
| 6–13 | -0.06 | 15% | 13 May → | ||
| 3–13 | -0.08 | 9% | 12 May → | ||
| 13–10 | 0.02 | 16% | 11 May → | ||
| 13–11 | -0.03 | 16% | 11 May → | ||
| 7–13 | -0.04 | 11% | 6 May → | ||
| 10–13 | -0.01 | 8% | 6 May → | ||
| 8–13 | 0.02 | 21% | 5 May → | ||
| 13–7 | -0.03 | 17% | 4 May → | ||
| 9–13 | -0.01 | 18% | 4 May → | ||
| 13–5 | 0.08 | 27% | 4 May → | ||
| 22–19 | 0.06 | 15% | 3 May → | ||
| 13–10 | 0.06 | 25% | 3 May → | ||
| 13–3 | -0.00 | 21% | 1 May → | ||
| 13–10 | 0.02 | 11% | 1 May → | ||
| 11–13 | 0.04 | 19% | 1 May → | ||
| 3–13 | -0.03 | 17% | 1 May → | ||
| 16–14 | 0.01 | 24% | 27 Apr → | ||
| 13–8 | -0.01 | 26% | 27 Apr → | ||
| 11–13 | -0.05 | 27% | 27 Apr → | ||
| 13–9 | 0.01 | 23% | 26 Apr → | ||
| 13–8 | 0.00 | 19% | 26 Apr → | ||
| 13–4 | -0.01 | 30% | 24 Apr → | ||
| 13–5 | 0.02 | 11% | 24 Apr → | ||
| 7–13 | -0.05 | 16% | 24 Apr → | ||
| cache_b | 11–3 | 0.11 | 50% | 23 Apr → | |
| 13–1 | 0.05 | 23% | 23 Apr → | ||
| 9–13 | -0.03 | 21% | 22 Apr → | ||
| 4–13 | -0.03 | 26% | 19 Apr → | ||
| 8–13 | 0.03 | 20% | 19 Apr → | ||
| 13–11 | -0.05 | 18% | 18 Apr → | ||
| 10–13 | 0.04 | 25% | 18 Apr → | ||
| 16–14 | 0.03 | 30% | 17 Apr → | ||
| 10–13 | -0.02 | 14% | 16 Apr → | ||
| 13–11 | -0.06 | 27% | 16 Apr → | ||
| 13–3 | 0.03 | 12% | 14 Apr → | ||
| cache_b | 5–13 | -0.00 | 30% | 14 Apr → | |
| 17–19 | 0.02 | 20% | 13 Apr → | ||
| 5–13 | 0.04 | 24% | 13 Apr → | ||
| 5–13 | 0.06 | 9% | 11 Apr → | ||
| 13–7 | 0.10 | 32% | 11 Apr → | ||
| 25–21 | 0.02 | 20% | 11 Apr → |
Match data via Leetify.
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