Frostline — CS2 Stats
76561199540125980[U:1:1579860252]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 42.0% | 41.7% | 44.1% | 2.1% short |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 0.84 | 0.97 | 1.03 | 0.19 short |
| Match win rate | 39.3% | 43.8% | 45.2% | 5.9% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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
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 NiKo 78% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 20 | 13–7 | 65% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| office | C | 12 | 5–7 | 42% | 0.01 |
| C | 11 | 4–7 | 36% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| S | 5 | 5–0 | 100% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.09 | |
| boulder | — | 1 | 1–0 | 100% | -0.01 |
| fachwerk | — | 1 | 0–1 | 0% | -0.11 |
| shelter | — | 1 | 0–1 | 0% | -0.04 |
| poseidon | — | 1 | 1–0 | 100% | 0.07 |
| debris | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 40% | 1.01 | 18.0 |
| Mirage | 4 | 75% | 0.55 | 8.3 |
| Nuke | 3 | 33% | 0.45 | 8.7 |
| Inferno | 2 | 0% | 0.70 | 13.0 |
| Anubis | 2 | 0% | 0.61 | 8.5 |
| Ancient | 1 | 100% | 2.00 | 12.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.698° — above the 12° mark we flag
- 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 0.4302 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% 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 | 0.07 | 14% | 26 Aug → | ||
| 3–13 | -0.00 | 17% | 25 Aug → | ||
| 8–8 | -0.09 | 16% | 25 Aug → | ||
| 11–13 | -0.01 | 16% | 23 Aug → | ||
| 13–7 | 0.05 | 15% | 22 Aug → | ||
| 13–5 | 0.06 | 23% | 22 Aug → | ||
| 10–13 | -0.06 | 16% | 22 Aug → | ||
| 3–13 | -0.01 | 8% | 22 Aug → | ||
| 13–9 | 0.08 | 22% | 22 Aug → | ||
| 11–13 | -0.03 | 18% | 21 Aug → | ||
| 13–6 | 0.00 | 33% | 20 Aug → | ||
| 10–13 | -0.03 | 12% | 20 Aug → | ||
| 8–13 | -0.04 | 24% | 20 Aug → | ||
| 10–13 | 0.07 | 20% | 20 Aug → | ||
| 13–11 | -0.03 | 17% | 13 Aug → | ||
| office | 13–6 | -0.00 | 10% | 13 Aug → | |
| 5–13 | -0.04 | 23% | 5 Aug → | ||
| boulder | 13–11 | -0.01 | 17% | 3 Aug → | |
| fachwerk | 0–7 | -0.11 | 20% | 3 Aug → | |
| shelter | 7–13 | -0.04 | 16% | 1 Aug → | |
| 9–4 | 0.23 | 14% | 30 Jul → | ||
| 1–9 | -0.20 | 24% | 30 Jul → | ||
| 3–13 | -0.05 | 23% | 30 Jul → | ||
| 2–6 | 0.06 | 11% | 30 Jul → | ||
| 13–16 | -0.06 | 20% | 30 Jul → | ||
| 9–6 | 0.08 | 8% | 29 Jul → | ||
| 4–9 | -0.04 | 31% | 29 Jul → | ||
| 13–11 | -0.06 | 12% | 28 Jul → | ||
| 13–11 | 0.02 | 20% | 28 Jul → | ||
| 9–13 | 0.01 | 11% | 28 Jul → | ||
| 13–5 | 0.11 | 9% | 28 Jul → | ||
| 13–7 | 0.01 | 19% | 27 Jul → | ||
| 13–2 | -0.00 | 11% | 27 Jul → | ||
| 9–13 | 0.00 | 16% | 27 Jul → | ||
| 5–13 | -0.04 | 9% | 25 Jul → | ||
| 13–2 | 0.02 | 27% | 25 Jul → | ||
| 13–11 | 0.04 | 18% | 25 Jul → | ||
| 4–13 | -0.03 | 23% | 25 Jul → | ||
| 9–5 | 0.00 | 28% | 25 Jul → | ||
| 9–7 | -0.02 | 20% | 25 Jul → | ||
| 9–4 | 0.09 | 22% | 25 Jul → | ||
| 9–13 | -0.01 | 13% | 24 Jul → | ||
| 13–1 | 0.03 | 20% | 24 Jul → | ||
| office | 3–10 | -0.02 | 33% | 19 Jul → | |
| poseidon | 9–4 | 0.07 | 17% | 18 Jul → | |
| debris | 7–9 | -0.04 | 25% | 18 Jul → | |
| 5–13 | -0.02 | 15% | 14 Jul → | ||
| 13–7 | 0.00 | 20% | 14 Jul → | ||
| 13–6 | 0.03 | 15% | 14 Jul → | ||
| 3–9 | -0.07 | 7% | 14 Jul → | ||
| 10–13 | 0.00 | 8% | 2 Jul → | ||
| 13–7 | 0.03 | 17% | 27 Jun → | ||
| office | 10–13 | -0.12 | 25% | 24 Jun → | |
| 13–6 | 0.05 | 10% | 23 Jun → | ||
| 13–5 | 0.02 | 23% | 23 Jun → | ||
| 4–13 | -0.01 | 8% | 23 Jun → | ||
| 5–13 | -0.03 | 28% | 23 Jun → | ||
| office | 13–7 | 0.04 | 40% | 23 Jun → | |
| 11–13 | -0.01 | 20% | 23 Jun → | ||
| 13–9 | -0.01 | 9% | 23 Jun → | ||
| 13–4 | 0.08 | 19% | 23 Jun → | ||
| 13–5 | 0.04 | 22% | 23 Jun → | ||
| 13–7 | -0.10 | 14% | 23 Jun → | ||
| 13–3 | -0.00 | 9% | 23 Jun → | ||
| 1–13 | 0.07 | 13% | 23 Jun → | ||
| 13–11 | -0.02 | 18% | 22 Jun → | ||
| 13–10 | -0.05 | 21% | 22 Jun → | ||
| 15–15 | -0.04 | 21% | 22 Jun → | ||
| 8–13 | -0.03 | 19% | 22 Jun → | ||
| 13–7 | 0.02 | 9% | 21 Jun → | ||
| 13–5 | -0.02 | 13% | 20 Jun → | ||
| 8–13 | -0.05 | 26% | 16 Jun → | ||
| 13–8 | 0.04 | 25% | 16 Jun → | ||
| 13–9 | 0.03 | 17% | 16 Jun → | ||
| 13–7 | 0.04 | 24% | 16 Jun → | ||
| office | 7–13 | 0.10 | 21% | 16 Jun → | |
| 16–14 | 0.02 | 13% | 16 Jun → | ||
| office | 13–4 | 0.09 | 20% | 14 Jun → | |
| office | 5–13 | 0.02 | 12% | 14 Jun → | |
| office | 13–4 | 0.10 | 17% | 13 Jun → | |
| office | 9–13 | 0.06 | 15% | 13 Jun → | |
| office | 13–5 | -0.04 | 10% | 12 Jun → | |
| office | 11–13 | -0.03 | 20% | 12 Jun → | |
| office | 5–13 | -0.08 | 20% | 11 Jun → | |
| 13–11 | 0.04 | 14% | 3 Jun → | ||
| 6–13 | 0.03 | 10% | 3 Jun → | ||
| 13–7 | 0.11 | 18% | 30 May → | ||
| 13–10 | 0.00 | 29% | 30 May → | ||
| 5–9 | -0.03 | 18% | 30 May → | ||
| 9–2 | 0.13 | 11% | 30 May → | ||
| 13–9 | 0.05 | 26% | 29 May → | ||
| 8–13 | 0.01 | 7% | 29 May → | ||
| 4–9 | -0.13 | 12% | 29 May → | ||
| 4–9 | -0.05 | 8% | 28 May → | ||
| 13–10 | 0.02 | 13% | 28 May → | ||
| 13–6 | 0.02 | 10% | 28 May → | ||
| 13–9 | 0.04 | 21% | 28 May → | ||
| 9–0 | 0.25 | 5% | 28 May → | ||
| 13–1 | 0.10 | 10% | 28 May → | ||
| 13–8 | 0.07 | 12% | 27 May → |
Match data via Leetify.