Eagle — CS2 Stats
76561198031653472[U:1:71387744]
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 | 35.6% | 48.1% | 12.5% short |
| Shot accuracy | 17.9% | 12.9% | above |
| Kill/death ratio | 1.10 | 1.08 | above |
| Match win rate | 42.3% | 46.5% | 4.1% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot 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: +30pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong 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 device 93% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 61% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 608ms 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 7.6/10 (Strong), 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 | 32 | 16–16 | 50% | -0.00 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| D | 10 | 2–8 | 20% | 0.01 | |
| S | 9 | 7–2 | 78% | 0.04 | |
| A | 7 | 4–3 | 57% | -0.03 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| office | — | 1 | 1–0 | 100% | 0.04 |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno 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 resultsWWWWL
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.09 | 14% | 23 May → | ||
| office | 13–1 | 0.04 | 21% | 23 May → | |
| 12–12 | -0.04 | 33% | 23 May → | ||
| 8–13 | 0.09 | 39% | 23 May → | ||
| 13–7 | -0.01 | 14% | 23 May → | ||
| 13–11 | 0.03 | 15% | 23 May → | ||
| 5–4 | -0.08 | 13% | 23 May → | ||
| 13–7 | -0.01 | 14% | 23 May → | ||
| 13–1 | 0.14 | 29% | 22 May → | ||
| 8–1 | 0.11 | 19% | 22 May → | ||
| 7–13 | -0.04 | 17% | 22 May → | ||
| 10–13 | -0.05 | 17% | 22 May → | ||
| 13–10 | -0.01 | 17% | 22 May → | ||
| 13–10 | -0.02 | 20% | 22 May → | ||
| 8–13 | -0.03 | 9% | 22 May → | ||
| 9–13 | -0.00 | 3% | 22 May → | ||
| 13–4 | -0.04 | 11% | 22 May → | ||
| 13–8 | -0.04 | 12% | 22 May → | ||
| 13–4 | 0.12 | 17% | 22 May → | ||
| 9–13 | -0.03 | 18% | 22 May → | ||
| 5–13 | 0.06 | 18% | 22 May → | ||
| 13–3 | 0.01 | 18% | 22 May → | ||
| 13–6 | -0.01 | 6% | 21 May → | ||
| 7–13 | 0.06 | 23% | 21 May → | ||
| 13–8 | 0.05 | 16% | 21 May → | ||
| 13–11 | 0.07 | 16% | 21 May → | ||
| 14–16 | -0.04 | 12% | 21 May → | ||
| 0–4 | -0.03 | 0% | 21 May → | ||
| 7–13 | 0.01 | 24% | 21 May → | ||
| 16–14 | -0.00 | 6% | 21 May → | ||
| 4–13 | 0.02 | 27% | 21 May → | ||
| 7–13 | -0.09 | 11% | 21 May → | ||
| 5–13 | -0.11 | 14% | 21 May → | ||
| 13–7 | 0.06 | 13% | 21 May → | ||
| 13–10 | 0.06 | 23% | 21 May → | ||
| 6–13 | -0.03 | 14% | 21 May → | ||
| 13–5 | 0.05 | 23% | 21 May → | ||
| 13–3 | 0.07 | 26% | 21 May → | ||
| 10–13 | -0.00 | 8% | 20 May → | ||
| 13–6 | -0.00 | 17% | 20 May → | ||
| 13–8 | -0.01 | 11% | 20 May → | ||
| 13–6 | 0.02 | 25% | 19 May → | ||
| 13–11 | 0.04 | 30% | 19 May → | ||
| 13–2 | 0.03 | 13% | 19 May → | ||
| 13–7 | 0.05 | 15% | 19 May → | ||
| 3–13 | -0.09 | 14% | 19 May → | ||
| 13–7 | 0.03 | 20% | 18 May → | ||
| 5–13 | -0.11 | 17% | 18 May → | ||
| 4–13 | 0.02 | 4% | 17 May → | ||
| 13–4 | 0.12 | 15% | 17 May → | ||
| 13–11 | -0.03 | 12% | 17 May → | ||
| 11–13 | -0.02 | 29% | 17 May → | ||
| 13–6 | 0.01 | 26% | 17 May → | ||
| 6–13 | -0.01 | 12% | 17 May → | ||
| 4–13 | -0.01 | 5% | 17 May → | ||
| 13–11 | 0.02 | 9% | 16 May → | ||
| 11–13 | 0.05 | 15% | 16 May → | ||
| 3–13 | 0.01 | 19% | 16 May → | ||
| 15–15 | -0.03 | 18% | 16 May → | ||
| 10–13 | 0.04 | 10% | 16 May → | ||
| 4–13 | -0.10 | 13% | 16 May → | ||
| 10–13 | 0.06 | 15% | 16 May → | ||
| 13–8 | 0.06 | 16% | 16 May → | ||
| 12–12 | -0.03 | 10% | 16 May → | ||
| 13–11 | 0.01 | 6% | 16 May → | ||
| 13–4 | -0.03 | 16% | 16 May → | ||
| 6–13 | -0.06 | 7% | 16 May → | ||
| 4–13 | -0.06 | 14% | 16 May → | ||
| 13–11 | -0.02 | 19% | 15 May → | ||
| 13–9 | 0.02 | 24% | 15 May → | ||
| 5–13 | -0.09 | 13% | 15 May → | ||
| 13–3 | 0.02 | 18% | 15 May → | ||
| 13–16 | 0.01 | 25% | 15 May → | ||
| 13–7 | -0.08 | 31% | 15 May → | ||
| 13–11 | -0.01 | 17% | 15 May → | ||
| 10–13 | -0.03 | 7% | 15 May → | ||
| 10–13 | 0.03 | 22% | 14 May → | ||
| 8–13 | -0.02 | 12% | 14 May → | ||
| 4–13 | -0.02 | 16% | 14 May → | ||
| 13–5 | 0.03 | 34% | 14 May → | ||
| 13–10 | 0.03 | 21% | 14 May → | ||
| 3–13 | -0.08 | 8% | 14 May → | ||
| 13–6 | 0.04 | 8% | 14 May → | ||
| 9–13 | -0.03 | 43% | 14 May → | ||
| 11–13 | -0.05 | 10% | 14 May → | ||
| 13–8 | 0.04 | 13% | 14 May → | ||
| 9–13 | -0.01 | 5% | 14 May → | ||
| 11–13 | 0.00 | 15% | 13 May → | ||
| 8–2 | 0.10 | 10% | 13 May → | ||
| 16–13 | 0.03 | 12% | 13 May → | ||
| 13–9 | -0.02 | 9% | 13 May → | ||
| 13–11 | 0.00 | 20% | 13 May → | ||
| 10–13 | 0.03 | 5% | 13 May → | ||
| 13–0 | 0.09 | 15% | 12 May → | ||
| 10–13 | 0.03 | 12% | 12 May → | ||
| 5–13 | -0.02 | 30% | 12 May → | ||
| 9–13 | -0.07 | 6% | 12 May → | ||
| 6–13 | -0.03 | 10% | 12 May → | ||
| 5–13 | -0.03 | 18% | 12 May → | ||
| 6–0 | 0.06 | 11% | 12 May → |
Match data via Leetify.