Daggern — CS2 Stats
76561198180114013[U:1:219848285]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 53.2% | 47.0% | 48.5% | above |
| Shot accuracy | 20.2% | 12.7% | 13.3% | above |
| Kill/death ratio | 0.99 | 1.07 | 1.07 | 0.08 short |
| Match win rate | 50.7% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 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 · -0.01 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 device 91% playstyle similarity
Most alike: positioning profile, 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. 610ms 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 6.6/10 (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 24 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 |
|---|---|---|---|---|---|
 mirage | C | 7 | 3–4 | 43% | -0.00 |
 anubis | S | 6 | 4–2 | 67% | 0.01 |
 dust2 | — | 3 | 3–0 | 100% | 0.10 |
 inferno | — | 3 | 1–2 | 33% | 0.03 |
 overpass | — | 2 | 2–0 | 100% | 0.07 |
 ancient | — | 2 | 1–1 | 50% | -0.02 |
 train | — | 1 | 0–1 | 0% | -0.09 |
Across the last 24 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Mirage 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 54 | 43% | 1.14 | 18.2 |
| Mirage | 54 | 41% | 1.22 | 18.3 |
| Ancient | 45 | 42% | 1.08 | 15.8 |
| Overpass | 38 | 68% | 1.27 | 18.2 |
| Dust2 | 18 | 39% | 0.92 | 15.6 |
| Inferno | 9 | 56% | 0.91 | 14.3 |
| Vertigo | 8 | 25% | 0.90 | 16.1 |
| Cache | 7 | 71% | 1.26 | 15.3 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–11 | 0.06 | 20% | 12 Jun → | |
| mirage | 5–13 | -0.08 | 24% | 12 Jun → | |
| mirage | 7–13 | -0.05 | 23% | 14 May → | |
| inferno | 10–13 | -0.05 | 29% | 14 May → | |
| anubis | 13–9 | -0.03 | 17% | 10 May → | |
| overpass | 13–2 | 0.06 | 10% | 10 May → | |
| dust2 | 13–5 | 0.10 | 22% | 10 May → | |
| anubis | 13–9 | 0.05 | 21% | 10 May → | |
| mirage | 10–13 | -0.04 | 29% | 10 May → | |
| inferno | 13–1 | 0.13 | 21% | 10 May → | |
| overpass | 13–4 | 0.08 | 28% | 10 May → | |
| mirage | 5–13 | 0.03 | 32% | 3 May → | |
| mirage | 13–10 | -0.03 | 30% | 3 May → | |
| anubis | 13–4 | 0.03 | 10% | 6 Mar → | |
| mirage | 13–2 | 0.05 | 31% | 6 Mar → | |
| train | 2–13 | -0.09 | 22% | 28 Nov → | |
| dust2 | 13–9 | 0.13 | 18% | 1 Sept → | |
| mirage | 13–5 | 0.09 | 17% | 1 Sept → | |
| inferno | 11–13 | 0.01 | 19% | 29 May → | |
| anubis | 11–13 | 0.00 | 21% | 28 May → | |
| ancient | 10–13 | -0.01 | 15% | 26 May → | |
| ancient | 13–10 | -0.04 | 23% | 22 May → | |
| anubis | 13–11 | -0.00 | 14% | 20 May → | |
| anubis | 5–13 | -0.02 | 8% | 20 May → |
Match data via Leetify.
