James Porkson — CS2 Stats
76561198189418762[U:1:229153034]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 34.3% | 40.1% | 41.7% | 7.4% short |
| Shot accuracy | 8.6% | 7.6% | 8.8% | 0.2% short |
| Kill/death ratio | 0.98 | 0.92 | 0.97 | meets |
| Match win rate | 38.4% | 42.2% | 43.8% | 5.4% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue band 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: +40pp win rate · +0.00 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 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| S | 21 | 14–7 | 67% | 0.02 | |
| B | 20 | 9–11 | 45% | -0.00 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| D | 14 | 2–12 | 14% | -0.00 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Nuke 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3159% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 15% | 29 Aug → | ||
| 13–6 | 0.06 | 8% | 29 Aug → | ||
| 13–6 | 0.03 | 15% | 28 Aug → | ||
| 9–13 | 0.00 | 15% | 28 Aug → | ||
| 13–0 | 0.02 | 7% | 26 Aug → | ||
| 6–13 | -0.05 | 16% | 26 Aug → | ||
| 13–9 | 0.03 | 11% | 26 Aug → | ||
| 16–13 | 0.06 | 13% | 26 Aug → | ||
| 13–6 | 0.07 | 10% | 25 Aug → | ||
| 13–8 | 0.08 | 20% | 25 Aug → | ||
| 13–3 | 0.09 | 14% | 25 Aug → | ||
| 13–2 | 0.09 | 20% | 24 Aug → | ||
| 12–16 | -0.02 | 12% | 24 Aug → | ||
| 11–13 | 0.00 | 14% | 23 Aug → | ||
| 13–9 | 0.02 | 10% | 23 Aug → | ||
| 13–16 | 0.02 | 15% | 23 Aug → | ||
| 8–13 | 0.05 | 19% | 23 Aug → | ||
| 15–15 | 0.03 | 11% | 22 Aug → | ||
| 13–2 | 0.08 | 8% | 22 Aug → | ||
| 7–13 | -0.03 | 21% | 22 Aug → | ||
| 13–1 | -0.05 | 9% | 21 Aug → | ||
| 1–6 | -0.03 | 20% | 21 Aug → | ||
| 9–13 | 0.01 | 15% | 17 Aug → | ||
| 11–13 | 0.03 | 14% | 16 Aug → | ||
| 13–9 | 0.00 | 12% | 16 Aug → | ||
| 5–13 | -0.03 | 13% | 15 Aug → | ||
| 5–13 | -0.09 | 19% | 15 Aug → | ||
| 13–4 | 0.07 | 24% | 15 Aug → | ||
| 13–6 | 0.04 | 14% | 15 Aug → | ||
| 10–13 | 0.00 | 16% | 15 Aug → | ||
| 13–3 | 0.03 | 15% | 14 Aug → | ||
| 10–13 | -0.04 | 6% | 14 Aug → | ||
| 3–13 | -0.06 | 17% | 14 Aug → | ||
| 13–9 | 0.10 | 22% | 12 Aug → | ||
| 15–15 | -0.02 | 12% | 11 Aug → | ||
| 13–7 | 0.00 | 20% | 11 Aug → | ||
| 13–7 | 0.00 | 21% | 11 Aug → | ||
| 9–13 | 0.06 | 25% | 11 Aug → | ||
| 8–13 | 0.01 | 17% | 11 Aug → | ||
| 5–13 | -0.02 | 29% | 10 Aug → | ||
| 4–13 | -0.06 | 22% | 10 Aug → | ||
| 13–7 | 0.03 | 11% | 10 Aug → | ||
| 9–13 | -0.01 | 26% | 9 Aug → | ||
| 13–6 | 0.04 | 16% | 9 Aug → | ||
| 16–14 | 0.06 | 12% | 9 Aug → | ||
| 13–5 | -0.04 | 11% | 8 Aug → | ||
| 10–13 | -0.04 | 13% | 8 Aug → | ||
| 13–2 | 0.08 | 4% | 8 Aug → | ||
| 7–13 | 0.04 | 16% | 8 Aug → | ||
| 13–4 | 0.13 | 9% | 6 Aug → | ||
| 8–13 | -0.06 | 3% | 28 Jul → | ||
| 1–7 | -0.02 | 12% | 28 Jul → | ||
| 10–13 | -0.03 | 8% | 13 Jul → | ||
| 13–8 | 0.00 | 9% | 1 Jul → | ||
| 13–4 | 0.04 | 24% | 1 Jul → | ||
| 8–13 | 0.01 | 20% | 31 May → | ||
| 16–14 | -0.00 | 11% | 16 May → | ||
| 13–10 | 0.02 | 11% | 15 May → | ||
| 8–13 | -0.07 | 3% | 7 May → | ||
| 13–7 | 0.00 | 17% | 7 May → | ||
| 11–13 | -0.02 | 11% | 2 May → | ||
| 13–3 | -0.03 | 13% | 11 Apr → | ||
| 8–13 | 0.01 | 15% | 11 Apr → | ||
| 7–11 | 0.01 | 9% | 11 Apr → | ||
| 13–4 | -0.00 | 13% | 10 Apr → | ||
| 13–7 | -0.03 | 11% | 8 Apr → | ||
| 8–13 | 0.01 | 23% | 8 Apr → | ||
| 13–10 | 0.05 | 16% | 7 Apr → | ||
| 10–13 | 0.06 | 19% | 6 Apr → | ||
| 8–13 | 0.06 | 9% | 6 Apr → | ||
| 15–15 | -0.06 | 24% | 5 Apr → | ||
| 13–5 | 0.03 | 13% | 5 Apr → | ||
| 9–13 | -0.04 | 12% | 2 Apr → | ||
| 9–13 | -0.03 | 10% | 1 Apr → | ||
| 7–13 | 0.00 | 19% | 1 Apr → | ||
| 9–13 | -0.01 | 10% | 31 Mar → | ||
| 13–11 | 0.10 | 14% | 31 Mar → | ||
| 10–13 | 0.05 | 31% | 31 Mar → | ||
| 1–8 | -0.08 | 7% | 30 Mar → | ||
| 14–16 | -0.05 | 17% | 30 Mar → | ||
| 7–13 | -0.03 | 13% | 30 Mar → | ||
| 15–15 | -0.03 | 11% | 30 Mar → | ||
| 13–6 | -0.03 | 21% | 30 Mar → | ||
| 9–13 | -0.02 | 9% | 28 Mar → | ||
| 3–13 | -0.01 | 20% | 28 Mar → | ||
| 13–11 | 0.06 | 10% | 27 Mar → | ||
| 16–13 | -0.02 | 15% | 27 Mar → | ||
| 13–1 | 0.01 | 23% | 26 Mar → | ||
| 11–13 | -0.03 | 22% | 26 Mar → | ||
| 6–13 | -0.02 | 11% | 26 Mar → | ||
| 8–13 | -0.00 | 15% | 26 Mar → | ||
| 3–13 | -0.04 | 9% | 26 Mar → | ||
| 13–16 | -0.02 | 11% | 25 Mar → | ||
| 13–9 | 0.01 | 22% | 25 Mar → | ||
| 10–13 | -0.05 | 25% | 25 Mar → | ||
| 5–13 | -0.02 | 5% | 25 Mar → | ||
| 13–10 | 0.01 | 16% | 25 Mar → | ||
| 10–13 | -0.06 | 15% | 24 Mar → | ||
| 2–13 | -0.08 | 3% | 24 Mar → | ||
| 13–10 | -0.02 | 13% | 24 Mar → |
Match data via Leetify.