nathan buckle — CS2 Stats
IL76561198423663965[U:1:463398237]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 | 74.1% | 44.2% | 44.9% | above |
| Shot accuracy | 3.1% | 11.2% | 11.8% | 8.7% short |
| Kill/death ratio | 1.49 | 1.04 | 1.04 | above |
| Match win rate | 32.5% | 45.3% | 45.3% | 12.7% short |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -50pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 82% 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
Strengths
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 666ms 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 5.4/10 (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 |
|---|---|---|---|---|---|
| C | 15 | 6–9 | 40% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.04 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| italy | — | 4 | 3–1 | 75% | -0.05 |
| golden | — | 4 | 2–2 | 50% | -0.02 |
| alpine | — | 3 | 1–2 | 33% | 0.01 |
| stronghold | — | 3 | 2–1 | 67% | -0.01 |
| — | 2 | 1–1 | 50% | -0.01 | |
| boulder | — | 1 | 0–1 | 0% | -0.01 |
| poseidon | — | 1 | 0–1 | 0% | -0.01 |
| office | — | 1 | 0–1 | 0% | -0.05 |
| warden | — | 1 | 0–1 | 0% | -0.05 |
| palacio | — | 1 | 0–1 | 0% | -0.05 |
| agency | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 9 | 56% | 1.16 | 17.3 |
| Dust2 | 5 | 20% | 0.96 | 12.6 |
| Anubis | 4 | 50% | 0.95 | 15.8 |
| Ancient | 3 | 33% | 1.47 | 20.0 |
| Inferno | 3 | 33% | 0.76 | 12.3 |
| Nuke | 3 | 100% | 1.29 | 15.3 |
| Vertigo | 2 | 100% | 1.16 | 17.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4297 — below the 0.5 mark we flag
- 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 20.2716% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.01 | 16% | 23 Aug → | ||
| 6–13 | -0.02 | 13% | 22 Aug → | ||
| 13–1 | 0.04 | 24% | 22 Aug → | ||
| 13–11 | -0.02 | 21% | 21 Aug → | ||
| 7–13 | -0.02 | 15% | 17 Aug → | ||
| 6–13 | -0.00 | 6% | 12 Jul → | ||
| 13–7 | -0.04 | 20% | 12 Jul → | ||
| boulder | 12–12 | -0.01 | 6% | 10 Jul → | |
| 4–13 | -0.02 | 17% | 10 Jul → | ||
| 8–13 | -0.03 | 23% | 8 Jul → | ||
| 11–13 | -0.03 | 5% | 5 Jul → | ||
| 13–9 | -0.05 | 35% | 5 Jul → | ||
| 6–13 | -0.09 | 13% | 4 Jul → | ||
| 13–6 | 0.08 | 24% | 3 Jul → | ||
| 13–8 | 0.09 | 25% | 3 Jul → | ||
| 13–5 | 0.03 | 22% | 1 Jul → | ||
| 13–4 | 0.09 | 23% | 1 Jul → | ||
| 13–8 | 0.00 | 16% | 30 Jun → | ||
| 13–9 | -0.05 | 17% | 20 Jun → | ||
| 13–8 | 0.01 | 22% | 18 Jun → | ||
| 5–13 | -0.02 | 19% | 12 Jun → | ||
| 16–14 | 0.01 | 23% | 11 Jun → | ||
| 15–15 | -0.04 | 11% | 11 Jun → | ||
| 13–4 | 0.04 | 22% | 11 Jun → | ||
| 2–13 | -0.05 | 23% | 9 Jun → | ||
| 11–13 | -0.00 | 11% | 9 Jun → | ||
| 13–2 | 0.07 | 16% | 8 Jun → | ||
| 12–12 | -0.01 | 20% | 6 Jun → | ||
| 9–13 | 0.04 | 14% | 6 Jun → | ||
| 6–13 | -0.03 | 27% | 4 Jun → | ||
| 11–13 | -0.02 | 21% | 3 Jun → | ||
| 13–10 | -0.02 | 13% | 2 Jun → | ||
| 10–13 | 0.02 | 18% | 10 Apr → | ||
| 6–13 | -0.11 | 14% | 3 Apr → | ||
| 13–9 | 0.01 | 28% | 23 Mar → | ||
| 10–13 | 0.00 | 15% | 22 Mar → | ||
| 13–4 | 0.02 | 9% | 22 Mar → | ||
| 1–13 | -0.06 | 15% | 22 Mar → | ||
| 9–13 | 0.03 | 20% | 22 Mar → | ||
| poseidon | 8–8 | -0.01 | 20% | 22 Mar → | |
| 8–13 | -0.05 | 19% | 1 Mar → | ||
| 13–11 | -0.04 | 13% | 1 Mar → | ||
| 13–16 | 0.06 | 27% | 1 Mar → | ||
| 10–13 | 0.00 | 22% | 24 Feb → | ||
| 14–16 | -0.08 | 18% | 23 Feb → | ||
| 2–0 | -0.12 | 0% | 23 Feb → | ||
| 4–13 | -0.05 | 23% | 23 Feb → | ||
| 13–8 | 0.00 | 21% | 23 Feb → | ||
| 13–10 | 0.08 | 24% | 21 Feb → | ||
| 13–8 | 0.02 | 18% | 20 Feb → | ||
| italy | 13–5 | -0.04 | 10% | 19 Feb → | |
| 13–8 | -0.03 | 24% | 19 Feb → | ||
| 11–13 | -0.01 | 25% | 17 Feb → | ||
| 13–9 | 0.01 | 15% | 17 Feb → | ||
| 7–13 | -0.00 | 16% | 17 Feb → | ||
| 11–13 | -0.01 | 22% | 17 Feb → | ||
| 11–13 | -0.04 | 21% | 17 Feb → | ||
| 13–1 | 0.17 | 28% | 17 Feb → | ||
| 13–9 | -0.04 | 13% | 15 Feb → | ||
| 4–13 | -0.00 | 17% | 15 Feb → | ||
| 10–13 | 0.03 | 20% | 15 Feb → | ||
| 13–5 | -0.01 | 18% | 15 Feb → | ||
| office | 5–13 | -0.05 | 23% | 15 Feb → | |
| 13–11 | 0.00 | 19% | 1 Feb → | ||
| 5–13 | -0.02 | 16% | 31 Jan → | ||
| 8–2 | -0.10 | 17% | 31 Jan → | ||
| alpine | 5–13 | 0.02 | 18% | 31 Jan → | |
| stronghold | 7–13 | -0.05 | 11% | 25 Jan → | |
| warden | 3–13 | -0.05 | 12% | 25 Jan → | |
| alpine | 13–8 | 0.03 | 12% | 25 Jan → | |
| stronghold | 13–8 | -0.02 | 17% | 25 Jan → | |
| alpine | 7–13 | -0.02 | 9% | 24 Jan → | |
| stronghold | 13–3 | 0.04 | 21% | 24 Jan → | |
| palacio | 9–13 | -0.05 | 12% | 18 Jan → | |
| italy | 3–13 | -0.06 | 14% | 18 Jan → | |
| golden | 6–13 | -0.04 | 20% | 18 Jan → | |
| agency | 1–13 | -0.05 | 15% | 18 Jan → | |
| italy | 13–8 | -0.07 | 12% | 8 Jan → | |
| 10–13 | -0.03 | 10% | 8 Jan → | ||
| italy | 13–4 | -0.04 | 25% | 8 Jan → | |
| golden | 13–11 | -0.04 | 16% | 7 Jan → | |
| 11–13 | 0.06 | 15% | 7 Jan → | ||
| 13–8 | -0.02 | 16% | 6 Jan → | ||
| 5–13 | -0.03 | 21% | 3 Jan → | ||
| 3–13 | -0.10 | 11% | 3 Jan → | ||
| golden | 3–13 | -0.01 | 6% | 2 Jan → | |
| golden | 13–5 | 0.02 | 20% | 2 Jan → | |
| 13–11 | -0.05 | 20% | 9 Dec → | ||
| 10–13 | -0.03 | 20% | 7 Dec → | ||
| 13–8 | -0.05 | 19% | 7 Dec → | ||
| 10–13 | -0.07 | 12% | 6 Dec → | ||
| 7–13 | -0.02 | 15% | 6 Dec → | ||
| 14–16 | -0.07 | 8% | 4 Dec → | ||
| 13–10 | -0.04 | 11% | 4 Dec → | ||
| 8–13 | -0.03 | 6% | 3 Dec → | ||
| 13–6 | 0.02 | 13% | 3 Dec → | ||
| 13–11 | -0.04 | 24% | 3 Dec → | ||
| 4–13 | -0.02 | 14% | 3 Dec → | ||
| 11–13 | 0.01 | 24% | 3 Dec → | ||
| 8–13 | -0.06 | 15% | 2 Dec → |
Match data via Leetify.