big ron ᓚᘏᗢ — CS2 Stats
CA76561198983493459[U:1:1023227731]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 48.7% | 44.2% | 44.9% | above |
| Shot accuracy | 12.3% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.11 | 1.04 | 1.04 | above |
| Match win rate | 30.8% | 45.3% | 45.3% | 14.4% short |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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
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 Twistzz 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Reaction time. 613ms 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 5.1/10 (Developing), 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 | 23 | 14–9 | 61% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| D | 9 | 2–7 | 22% | -0.01 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| S | 6 | 4–2 | 67% | -0.02 | |
| office | D | 5 | 1–4 | 20% | -0.03 |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| stronghold | — | 1 | 0–1 | 0% | -0.07 |
| poseidon | — | 1 | 0–1 | 0% | 0.00 |
| warden | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 5 | 60% | 1.02 | 17.0 |
| Mirage | 5 | 20% | 0.97 | 17.2 |
| Overpass | 4 | 75% | 0.98 | 16.0 |
| Vertigo | 4 | 50% | 0.76 | 12.3 |
| Ancient | 4 | 100% | 1.51 | 16.5 |
| Anubis | 1 | 0% | 0.74 | 14.0 |
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.
- 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 34.174% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.05 | 15% | 21 Aug → | ||
| 13–9 | 0.06 | 12% | 20 Aug → | ||
| 13–9 | -0.00 | 13% | 19 Aug → | ||
| 13–10 | -0.05 | 15% | 19 Aug → | ||
| 8–13 | 0.00 | 19% | 19 Aug → | ||
| 7–13 | 0.01 | 10% | 19 Aug → | ||
| 13–9 | 0.07 | 25% | 19 Aug → | ||
| 8–1 | 0.01 | 18% | 19 Aug → | ||
| 13–6 | 0.01 | 15% | 14 Aug → | ||
| 6–13 | -0.05 | 22% | 14 Aug → | ||
| 8–13 | 0.05 | 16% | 14 Aug → | ||
| 13–8 | 0.03 | 20% | 10 Aug → | ||
| 8–13 | 0.00 | 6% | 6 Aug → | ||
| 8–13 | -0.01 | 26% | 6 Aug → | ||
| 13–11 | -0.03 | 16% | 6 Aug → | ||
| 8–13 | -0.06 | 11% | 1 Jun → | ||
| 13–11 | 0.01 | 16% | 20 May → | ||
| 12–12 | -0.00 | 19% | 20 May → | ||
| 9–7 | -0.01 | 18% | 20 May → | ||
| 3–9 | -0.21 | 36% | 20 May → | ||
| 13–11 | -0.07 | 37% | 16 May → | ||
| office | 6–13 | -0.05 | 21% | 16 May → | |
| office | 5–13 | -0.06 | 11% | 14 May → | |
| office | 7–13 | -0.07 | 13% | 14 May → | |
| 13–9 | 0.02 | 22% | 11 May → | ||
| 13–8 | 0.03 | 17% | 11 May → | ||
| 8–13 | 0.02 | 21% | 11 May → | ||
| 13–3 | 0.03 | 22% | 10 May → | ||
| 13–8 | 0.05 | 20% | 10 May → | ||
| 13–5 | 0.03 | 17% | 10 May → | ||
| 13–8 | 0.04 | 22% | 9 May → | ||
| 10–13 | -0.07 | 17% | 8 May → | ||
| 5–13 | 0.03 | 15% | 8 May → | ||
| 10–13 | 0.02 | 13% | 5 May → | ||
| 5–13 | -0.04 | 12% | 5 May → | ||
| 11–13 | -0.07 | 9% | 5 May → | ||
| 8–13 | -0.01 | 16% | 5 May → | ||
| 13–6 | 0.04 | 28% | 4 May → | ||
| 13–4 | -0.06 | 18% | 4 May → | ||
| 10–13 | -0.05 | 18% | 4 May → | ||
| 6–13 | -0.05 | 6% | 1 May → | ||
| 7–13 | -0.03 | 28% | 1 May → | ||
| 11–13 | -0.03 | 15% | 1 May → | ||
| 12–12 | 0.10 | 22% | 1 May → | ||
| 13–7 | -0.07 | 8% | 29 Apr → | ||
| 13–8 | -0.02 | 22% | 29 Apr → | ||
| 13–9 | 0.06 | 17% | 27 Apr → | ||
| 13–10 | -0.01 | 13% | 27 Apr → | ||
| 13–4 | 0.02 | 16% | 26 Apr → | ||
| 5–13 | 0.06 | 9% | 20 Apr → | ||
| 7–13 | 0.01 | 12% | 20 Apr → | ||
| 13–5 | 0.11 | 16% | 20 Apr → | ||
| 13–8 | 0.04 | 17% | 20 Apr → | ||
| 9–13 | -0.03 | 19% | 18 Apr → | ||
| 13–1 | 0.14 | 21% | 18 Apr → | ||
| 3–13 | -0.05 | 6% | 18 Apr → | ||
| 12–12 | 0.01 | 10% | 13 Apr → | ||
| 6–13 | -0.06 | 19% | 13 Apr → | ||
| 13–8 | 0.01 | 18% | 13 Apr → | ||
| 10–13 | -0.05 | 21% | 12 Apr → | ||
| 9–13 | -0.02 | 17% | 1 Apr → | ||
| 9–13 | 0.02 | 11% | 29 Mar → | ||
| 13–3 | -0.06 | 9% | 29 Mar → | ||
| 13–10 | -0.04 | 13% | 29 Mar → | ||
| stronghold | 9–13 | -0.07 | 18% | 28 Mar → | |
| 4–13 | -0.03 | 7% | 28 Mar → | ||
| 7–13 | -0.03 | 9% | 27 Mar → | ||
| 8–13 | -0.01 | 20% | 27 Mar → | ||
| 0–13 | -0.10 | 13% | 27 Mar → | ||
| 4–13 | 0.03 | 18% | 27 Mar → | ||
| 13–3 | 0.08 | 18% | 23 Mar → | ||
| 13–7 | 0.10 | 18% | 22 Mar → | ||
| 13–5 | 0.03 | 17% | 22 Mar → | ||
| 13–11 | -0.01 | 14% | 22 Mar → | ||
| office | 13–11 | 0.04 | 19% | 21 Mar → | |
| poseidon | 8–8 | 0.00 | 25% | 21 Mar → | |
| office | 12–12 | -0.03 | 37% | 19 Mar → | |
| warden | 13–0 | 0.09 | 25% | 16 Mar → | |
| 13–10 | -0.02 | 19% | 13 Mar → | ||
| 10–13 | 0.05 | 16% | 12 Mar → | ||
| 6–13 | -0.03 | 4% | 3 Mar → | ||
| 13–9 | 0.02 | 32% | 3 Mar → | ||
| 11–13 | 0.08 | 26% | 2 Mar → | ||
| 13–4 | 0.04 | 18% | 2 Mar → | ||
| 12–12 | -0.05 | 11% | 1 Mar → | ||
| 13–8 | 0.06 | 13% | 1 Mar → | ||
| 9–13 | 0.01 | 30% | 1 Mar → | ||
| 13–6 | 0.07 | 24% | 27 Feb → | ||
| 13–9 | 0.03 | 25% | 26 Feb → | ||
| 13–11 | 0.01 | 18% | 24 Feb → | ||
| 8–13 | 0.06 | 24% | 24 Feb → | ||
| 12–12 | 0.06 | 13% | 17 Feb → | ||
| 13–6 | -0.00 | 19% | 17 Feb → | ||
| 13–5 | 0.08 | 17% | 17 Feb → | ||
| 13–10 | 0.01 | 13% | 16 Feb → | ||
| 13–3 | -0.04 | 6% | 15 Feb → | ||
| 10–13 | 0.02 | 30% | 6 Feb → | ||
| 13–8 | 0.15 | 16% | 5 Feb → | ||
| 3–13 | 0.00 | 13% | 3 Feb → | ||
| 8–13 | -0.03 | 19% | 3 Feb → |
Match data via Leetify.