Guardian™ — CS2 Stats
ZA76561198971902844[U:1:1011637116]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 49.3% | 48.1% | above |
| Shot accuracy | 16.0% | 12.9% | above |
| Kill/death ratio | 1.20 | 1.08 | above |
| Match win rate | 36.6% | 46.5% | 9.8% short |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink 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: +0pp 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 ropz 93% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: higher opening-fight frequency.
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 6.5/10 (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 |
|---|---|---|---|---|---|
| B | 28 | 13–15 | 46% | 0.02 | |
| B | 22 | 11–11 | 50% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.00 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| — | 2 | 2–0 | 100% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 15). 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.10 | 43% | 28 Aug → | ||
| 13–8 | -0.01 | 44% | 28 Aug → | ||
| 1–5 | 0.19 | 27% | 28 Aug → | ||
| 13–3 | 0.05 | 41% | 28 Aug → | ||
| 10–13 | -0.04 | 21% | 28 Aug → | ||
| 13–9 | 0.01 | 28% | 26 Aug → | ||
| 6–13 | -0.04 | 35% | 26 Aug → | ||
| 13–4 | 0.05 | 20% | 23 Aug → | ||
| 13–9 | -0.00 | 19% | 21 Aug → | ||
| 12–12 | 0.02 | 18% | 21 Aug → | ||
| 13–8 | 0.01 | 23% | 20 Aug → | ||
| 13–16 | 0.00 | 15% | 20 Aug → | ||
| 13–10 | 0.02 | 37% | 19 Aug → | ||
| 13–4 | 0.06 | 26% | 19 Aug → | ||
| 16–14 | 0.01 | 24% | 18 Aug → | ||
| 6–13 | -0.06 | 22% | 18 Aug → | ||
| 13–4 | 0.07 | 38% | 17 Aug → | ||
| 5–13 | -0.08 | 8% | 15 Aug → | ||
| 13–3 | -0.03 | 12% | 15 Aug → | ||
| 15–15 | 0.01 | 34% | 15 Aug → | ||
| 13–16 | 0.04 | 17% | 15 Aug → | ||
| 13–9 | 0.03 | 33% | 15 Aug → | ||
| 6–13 | -0.00 | 20% | 15 Aug → | ||
| 12–16 | -0.06 | 29% | 15 Aug → | ||
| 9–13 | 0.09 | 32% | 10 Aug → | ||
| 13–11 | 0.00 | 17% | 10 Aug → | ||
| 9–13 | -0.02 | 24% | 10 Aug → | ||
| 10–13 | -0.04 | 20% | 9 Aug → | ||
| 13–3 | -0.01 | 22% | 9 Aug → | ||
| 13–4 | 0.03 | 32% | 9 Aug → | ||
| 11–13 | -0.08 | 8% | 9 Aug → | ||
| 16–13 | 0.05 | 21% | 9 Aug → | ||
| 13–5 | 0.07 | 18% | 9 Aug → | ||
| 11–13 | 0.03 | 27% | 9 Aug → | ||
| 11–13 | 0.03 | 18% | 9 Aug → | ||
| 13–7 | 0.06 | 18% | 9 Aug → | ||
| 13–11 | -0.08 | 18% | 9 Aug → | ||
| 8–13 | 0.02 | 16% | 9 Aug → | ||
| 13–3 | -0.00 | 31% | 9 Aug → | ||
| 13–16 | 0.04 | 36% | 8 Aug → | ||
| 13–10 | 0.04 | 31% | 8 Aug → | ||
| 13–6 | 0.10 | 25% | 8 Aug → | ||
| 3–13 | 0.02 | 39% | 8 Aug → | ||
| 11–13 | 0.02 | 27% | 8 Aug → | ||
| 10–13 | -0.08 | 38% | 8 Aug → | ||
| 4–13 | 0.00 | 44% | 8 Aug → | ||
| 10–13 | 0.03 | 31% | 7 Aug → | ||
| 13–6 | 0.04 | 36% | 7 Aug → | ||
| 13–9 | 0.00 | 19% | 6 Aug → | ||
| 13–11 | 0.06 | 24% | 6 Aug → | ||
| 9–13 | -0.03 | 24% | 4 Aug → | ||
| 12–12 | 0.07 | 19% | 4 Aug → | ||
| 13–7 | 0.02 | 34% | 2 Aug → | ||
| 13–7 | 0.08 | 22% | 2 Aug → | ||
| 13–6 | 0.08 | 25% | 2 Aug → | ||
| 13–7 | -0.02 | 28% | 2 Aug → | ||
| 11–13 | 0.03 | 39% | 2 Aug → | ||
| 13–3 | 0.03 | 30% | 2 Aug → | ||
| 13–4 | 0.05 | 23% | 2 Aug → | ||
| 10–13 | -0.00 | 13% | 2 Aug → | ||
| 8–13 | -0.04 | 29% | 2 Aug → | ||
| 13–8 | 0.03 | 28% | 2 Aug → | ||
| 7–13 | 0.01 | 45% | 1 Aug → | ||
| 8–13 | 0.03 | 31% | 1 Aug → | ||
| 13–7 | 0.01 | 38% | 1 Aug → | ||
| 14–16 | 0.04 | 19% | 1 Aug → | ||
| 13–11 | 0.01 | 29% | 1 Aug → | ||
| 10–13 | -0.01 | 20% | 1 Aug → | ||
| 8–13 | 0.03 | 20% | 31 Jul → | ||
| 4–13 | -0.05 | 18% | 31 Jul → | ||
| 13–11 | 0.10 | 28% | 31 Jul → | ||
| 7–13 | -0.01 | 24% | 31 Jul → | ||
| 13–7 | 0.03 | 23% | 30 Jul → | ||
| 13–2 | -0.01 | 23% | 29 Jul → | ||
| 13–6 | -0.05 | 15% | 29 Jul → | ||
| 13–2 | 0.10 | 23% | 28 Jul → | ||
| 7–13 | -0.02 | 15% | 28 Jul → | ||
| 16–13 | -0.04 | 32% | 27 Jul → | ||
| 13–3 | 0.14 | 35% | 26 Jul → | ||
| 10–13 | 0.08 | 22% | 26 Jul → | ||
| 13–3 | -0.03 | 67% | 26 Jul → | ||
| 9–13 | 0.06 | 22% | 26 Jul → | ||
| 15–15 | -0.02 | 29% | 26 Jul → | ||
| 4–13 | 0.07 | 27% | 26 Jul → | ||
| 0–13 | -0.05 | 25% | 26 Jul → | ||
| 1–13 | -0.06 | 40% | 26 Jul → | ||
| 4–13 | -0.00 | 23% | 26 Jul → | ||
| 14–16 | -0.04 | 21% | 25 Jul → | ||
| 13–6 | 0.02 | 13% | 25 Jul → | ||
| 7–13 | -0.00 | 26% | 25 Jul → | ||
| 13–2 | 0.12 | 21% | 25 Jul → | ||
| 13–11 | 0.05 | 31% | 25 Jul → | ||
| 13–2 | 0.07 | 21% | 25 Jul → | ||
| 13–2 | 0.09 | 20% | 25 Jul → | ||
| 8–13 | -0.03 | 24% | 25 Jul → | ||
| 13–4 | 0.03 | 34% | 25 Jul → | ||
| 10–13 | -0.02 | 21% | 24 Jul → | ||
| 12–16 | -0.07 | 32% | 24 Jul → | ||
| 13–6 | -0.07 | 19% | 24 Jul → | ||
| 10–13 | -0.03 | 6% | 22 Jul → |
Match data via Leetify.