bigdNs — CS2 Stats
76561197991747154[U:1:31481426]
Rating over time
Faceit ELO
- At peak — 2,236
- Next: 2,500 ELO at 2,500 — 264 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 48.4% | 52.8% |
| Shot accuracy | 13.0% | 13.7% |
| Kill/death ratio | 0.96 | 1.08 |
| Match win rate | 49.7% | 49.2% |
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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 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 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 →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 6.2/10 (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 | 28 | 17–11 | 61% | 0.00 | |
| B | 20 | 9–11 | 45% | -0.01 | |
| B | 17 | 8–9 | 47% | -0.02 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| D | 7 | 0–7 | 0% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 845 | 50% | 1.04 | 16.4 |
| Dust2 | 696 | 53% | 1.06 | 15.8 |
| Inferno | 684 | 52% | 1.11 | 16.8 |
| Mirage | 353 | 48% | 0.99 | 15.2 |
| Anubis | 329 | 48% | 0.99 | 15.3 |
| Nuke | 261 | 46% | 1.00 | 15.6 |
| Overpass | 145 | 46% | 1.02 | 15.9 |
| Vertigo | 49 | 43% | 0.92 | 14.2 |
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 32.391% — 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.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.07 | 22% | 23 Aug → | ||
| 13–10 | 0.01 | 17% | 17 Aug → | ||
| 22–19 | 0.04 | 25% | 13 Aug → | ||
| 11–13 | -0.07 | 14% | 12 Aug → | ||
| 13–11 | 0.02 | 19% | 4 Aug → | ||
| 14–16 | 0.00 | 21% | 2 Aug → | ||
| 16–14 | 0.01 | 13% | 31 Jul → | ||
| 13–8 | 0.04 | 18% | 30 Jul → | ||
| 10–13 | 0.01 | 17% | 28 Jul → | ||
| 13–11 | 0.03 | 26% | 26 Jul → | ||
| 13–10 | -0.05 | 15% | 22 Jul → | ||
| 7–13 | -0.02 | 23% | 16 Jul → | ||
| 6–13 | 0.01 | 24% | 16 Jul → | ||
| 13–5 | 0.02 | 19% | 15 Jul → | ||
| 10–13 | -0.03 | 8% | 15 Jul → | ||
| 6–13 | -0.06 | 14% | 30 Jun → | ||
| 13–11 | -0.02 | 13% | 10 Jun → | ||
| 8–13 | -0.03 | 23% | 9 Jun → | ||
| 19–17 | -0.01 | 16% | 7 Jun → | ||
| 7–13 | -0.06 | 35% | 6 Jun → | ||
| 13–9 | -0.02 | 24% | 6 Jun → | ||
| 8–13 | 0.06 | 24% | 5 Jun → | ||
| 13–3 | 0.11 | 25% | 30 May → | ||
| 10–13 | -0.01 | 23% | 21 May → | ||
| 13–2 | 0.11 | 34% | 20 May → | ||
| 5–13 | -0.10 | 18% | 16 May → | ||
| 2–13 | -0.01 | 21% | 19 Apr → | ||
| 13–7 | -0.01 | 13% | 19 Apr → | ||
| 7–13 | -0.04 | 15% | 15 Apr → | ||
| 19–17 | 0.02 | 13% | 8 Apr → | ||
| 9–13 | 0.01 | 21% | 6 Apr → | ||
| 11–13 | -0.04 | 19% | 4 Apr → | ||
| 7–13 | 0.00 | 15% | 24 Mar → | ||
| 9–13 | -0.03 | 13% | 23 Mar → | ||
| 8–13 | 0.06 | 34% | 22 Mar → | ||
| 13–10 | -0.00 | 23% | 21 Mar → | ||
| 10–13 | -0.06 | 4% | 20 Mar → | ||
| 13–5 | -0.06 | 20% | 12 Mar → | ||
| 11–13 | 0.02 | 14% | 11 Mar → | ||
| 13–2 | 0.07 | 22% | 9 Mar → | ||
| 7–13 | -0.04 | 17% | 8 Mar → | ||
| 13–3 | 0.10 | 20% | 8 Mar → | ||
| 2–13 | -0.02 | 31% | 7 Mar → | ||
| 7–13 | 0.04 | 15% | 27 Feb → | ||
| 13–9 | 0.02 | 16% | 22 Feb → | ||
| 13–11 | -0.05 | 19% | 15 Feb → | ||
| 11–13 | -0.01 | 20% | 15 Feb → | ||
| 13–16 | 0.01 | 13% | 14 Feb → | ||
| 13–2 | 0.07 | 19% | 13 Feb → | ||
| 19–16 | -0.05 | 15% | 12 Feb → | ||
| 13–9 | -0.01 | 15% | 12 Feb → | ||
| 13–9 | -0.05 | 20% | 11 Feb → | ||
| 8–13 | -0.05 | 13% | 9 Feb → | ||
| 3–13 | -0.03 | 17% | 8 Feb → | ||
| 11–13 | -0.02 | 21% | 7 Feb → | ||
| 5–13 | -0.07 | 19% | 7 Feb → | ||
| 13–10 | 0.00 | 13% | 6 Feb → | ||
| 9–13 | -0.03 | 10% | 5 Feb → | ||
| 13–10 | 0.05 | 12% | 4 Feb → | ||
| 16–14 | -0.00 | 20% | 4 Feb → | ||
| 13–11 | -0.04 | 12% | 1 Feb → | ||
| 16–14 | -0.01 | 18% | 21 Jan → | ||
| 11–13 | -0.06 | 8% | 19 Jan → | ||
| 13–4 | 0.00 | 12% | 18 Jan → | ||
| 9–13 | 0.01 | 16% | 18 Jan → | ||
| 11–13 | 0.02 | 19% | 15 Jan → | ||
| 2–13 | -0.08 | 21% | 8 Jan → | ||
| 8–13 | 0.06 | 17% | 21 Dec → | ||
| 5–13 | -0.02 | 15% | 19 Dec → | ||
| 13–2 | 0.03 | 14% | 19 Dec → | ||
| 9–13 | 0.01 | 12% | 15 Dec → | ||
| 11–13 | -0.06 | 10% | 12 Dec → | ||
| 9–13 | -0.02 | 19% | 10 Dec → | ||
| 13–7 | -0.02 | 13% | 10 Dec → | ||
| 8–13 | -0.02 | 14% | 9 Dec → | ||
| 7–13 | 0.02 | 11% | 9 Dec → | ||
| 10–13 | -0.04 | 14% | 6 Dec → | ||
| 13–6 | 0.03 | 15% | 5 Dec → | ||
| 13–8 | 0.01 | 14% | 4 Dec → | ||
| 13–7 | 0.07 | 15% | 2 Dec → | ||
| 19–17 | 0.02 | 17% | 2 Dec → | ||
| 13–7 | -0.03 | 5% | 1 Dec → | ||
| 1–13 | -0.05 | 26% | 30 Nov → | ||
| 9–13 | 0.01 | 23% | 24 Nov → | ||
| 16–14 | -0.02 | 17% | 23 Nov → | ||
| 11–13 | -0.04 | 10% | 22 Nov → | ||
| 13–10 | -0.06 | 12% | 21 Nov → | ||
| 13–11 | 0.04 | 13% | 21 Nov → | ||
| 13–8 | 0.05 | 13% | 21 Nov → | ||
| 13–5 | -0.03 | 20% | 18 Nov → | ||
| 13–9 | 0.04 | 13% | 18 Nov → | ||
| 9–13 | -0.02 | 14% | 18 Nov → | ||
| 8–13 | -0.07 | 10% | 16 Nov → | ||
| 13–10 | 0.04 | 14% | 14 Nov → | ||
| 13–8 | 0.05 | 13% | 13 Nov → | ||
| 3–13 | -0.00 | 12% | 12 Nov → | ||
| 5–13 | -0.05 | 22% | 12 Nov → | ||
| 13–11 | -0.01 | 20% | 11 Nov → | ||
| 13–8 | -0.04 | 7% | 10 Nov → | ||
| 7–13 | -0.01 | 13% | 8 Nov → |
Match data via Leetify.