granny Hansen — CS2 Stats
76561198182896721[U:1:222630993]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 31 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.
No change since then. Play, then come back: the next observation lands here.
Rating over time
Premier CS Rating
- At peak — 19,471
- Next: Pink band at 20,000 — 529 to go
- Reached: Purple band · Blue band · Light Blue band
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −7.5pp headshot accuracy · −41ms reaction
Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating 0.03
- Avg headshot accuracy 21%
- Avg reaction 558ms
Last 10
- 6–4 · 60% win rate
- Avg rating 0.05
- Avg headshot accuracy 21%
- Avg reaction 580ms
Last 20
- 10–10 · 50% win rate
- Avg rating 0.04
- Avg headshot accuracy 25%
- Avg reaction 600ms
Newest first, from the last 87 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like NiKo 91% playstyle similarity
Most alike: opening-duel success, aim profile.
Where you differ: lower utility contribution; lower positioning 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
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
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 6.7/10 (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 87 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 87 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | A | 21 | 12–9 | 57% | 0.04 |
 mirage | C | 17 | 7–10 | 41% | 0.05 |
 dust2 | B | 15 | 8–7 | 53% | 0.04 |
 nuke | C | 12 | 5–7 | 42% | 0.01 |
 cache | S | 8 | 7–1 | 88% | 0.09 |
 anubis | — | 3 | 2–1 | 67% | 0.10 |
 vertigo | — | 3 | 2–1 | 67% | 0.07 |
 overpass | — | 3 | 2–1 | 67% | 0.16 |
 ancient | — | 1 | 1–0 | 100% | 0.04 |
| agency | — | 1 | 1–0 | 100% | -0.05 |
| office | — | 1 | 1–0 | 100% | 0.05 |
 train | — | 1 | 0–1 | 0% | -0.01 |
| tuscan | — | 1 | 0–1 | 0% | 0.05 |
Across the last 87 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (41% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.
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 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 37.4097% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 8–13 | 0.03 | 21% | 31 Oct → | |
| inferno | 13–10 | 0.03 | 22% | 31 Oct → | |
| dust2 | 9–13 | 0.00 | 14% | 31 Oct → | |
| inferno | 13–5 | 0.11 | 31% | 31 Oct → | |
| nuke | 6–13 | -0.01 | 18% | 30 Oct → | |
| nuke | 13–10 | 0.10 | 17% | 30 Oct → | |
| nuke | 13–9 | 0.02 | 29% | 30 Oct → | |
| cache | 13–8 | -0.01 | 18% | 30 Oct → | |
| cache | 13–2 | 0.18 | 23% | 29 Oct → | |
| anubis | 4–13 | 0.04 | 16% | 29 Oct → | |
| nuke | 11–13 | -0.04 | 18% | 29 Oct → | |
| cache | 13–6 | 0.05 | 34% | 29 Oct → | |
| nuke | 3–13 | -0.03 | 30% | 26 Oct → | |
| dust2 | 13–5 | 0.20 | 35% | 26 Oct → | |
| inferno | 11–13 | 0.06 | 25% | 22 Oct → | |
| dust2 | 9–2 | -0.01 | 43% | 22 Oct → | |
| anubis | 13–7 | 0.05 | 23% | 22 Oct → | |
| mirage | 9–13 | -0.01 | 33% | 21 Oct → | |
| dust2 | 7–13 | 0.05 | 29% | 18 May → | |
| mirage | 3–13 | 0.00 | 14% | 18 May → | |
| nuke | 13–6 | 0.05 | 24% | 18 May → | |
| dust2 | 13–6 | 0.16 | 36% | 18 May → | |
| mirage | 13–3 | 0.13 | 40% | 4 Mar → | |
| inferno | 13–10 | 0.04 | 28% | 27 Feb → | |
| dust2 | 5–2 | -0.04 | 78% | 27 Feb → | |
| mirage | 5–13 | -0.02 | 32% | 27 Feb → | |
| vertigo | 16–13 | -0.05 | 25% | 18 Mar → | |
| nuke | 13–8 | -0.01 | 23% | 18 Mar → | |
| ancient | 13–11 | 0.04 | 31% | 18 Mar → | |
| mirage | 13–2 | 0.05 | 17% | 18 Mar → | |
| vertigo | 15–15 | 0.14 | 23% | 4 Mar → | |
| overpass | 13–4 | 0.42 | 36% | 4 Mar → | |
| nuke | 6–13 | -0.01 | 39% | 3 Mar → | |
| anubis | 13–2 | 0.20 | 29% | 3 Mar → | |
| nuke | 13–2 | 0.14 | 23% | 3 Mar → | |
| overpass | 13–11 | 0.13 | 34% | 3 Mar → | |
| inferno | 13–4 | -0.01 | 26% | 11 Feb → | |
| nuke | 8–13 | -0.06 | 14% | 8 Feb → | |
| vertigo | 13–4 | 0.13 | 19% | 8 Feb → | |
| inferno | 8–6 | 0.03 | 32% | 8 Feb → | |
| mirage | 13–4 | 0.13 | 24% | 8 Feb → | |
| mirage | 9–13 | 0.18 | 38% | 8 Feb → | |
| inferno | 10–11 | -0.00 | 38% | 7 Feb → | |
| cache | 16–9 | 0.17 | 16% | 1 May → | |
| overpass | 14–16 | -0.07 | 30% | 1 May → | |
| dust2 | 16–7 | 0.02 | 25% | 12 Mar → | |
| cache | 16–12 | 0.08 | 18% | 9 Mar → | |
| dust2 | 15–15 | 0.05 | 34% | 9 Mar → | |
| agency | 16–10 | -0.05 | 55% | 3 Feb → | |
| dust2 | 16–11 | 0.02 | 33% | 3 Feb → | |
| dust2 | 15–15 | 0.03 | 18% | 28 Jan → | |
| mirage | 16–11 | -0.04 | 14% | 28 Jan → | |
| inferno | 16–13 | 0.07 | 24% | 28 Jan → | |
| mirage | 16–6 | 0.11 | 22% | 12 Jan → | |
| mirage | 11–16 | 0.04 | 10% | 5 Jan → | |
| mirage | 7–9 | 0.01 | 23% | 3 Jan → | |
| inferno | 9–4 | 0.06 | 28% | 3 Jan → | |
| mirage | 9–1 | 0.09 | 18% | 3 Jan → | |
| dust2 | 16–10 | 0.04 | 16% | 2 Jan → | |
| inferno | 6–9 | 0.03 | 31% | 29 Dec → | |
| mirage | 5–16 | 0.08 | 31% | 29 Dec → | |
| inferno | 15–15 | 0.03 | 21% | 28 Dec → | |
| inferno | 16–13 | 0.04 | 26% | 28 Dec → | |
| mirage | 10–16 | -0.03 | 14% | 28 Dec → | |
| office | 16–11 | 0.05 | 24% | 28 Dec → | |
| inferno | 16–1 | 0.14 | 18% | 28 Dec → | |
| nuke | 12–16 | 0.01 | 13% | 28 Dec → | |
| inferno | 16–5 | 0.02 | 24% | 28 Dec → | |
| inferno | 6–16 | -0.02 | 31% | 17 Dec → | |
| mirage | 3–9 | -0.04 | 26% | 17 Dec → | |
| inferno | 8–8 | 0.06 | 13% | 17 Dec → | |
| mirage | 10–16 | 0.10 | 16% | 17 Dec → | |
| dust2 | 10–16 | -0.03 | 26% | 17 Dec → | |
| mirage | 16–14 | 0.09 | 26% | 17 Dec → | |
| inferno | 7–16 | 0.07 | 32% | 25 Nov → | |
| train | 5–16 | -0.01 | 37% | 25 Nov → | |
| dust2 | 16–10 | 0.04 | 29% | 26 Oct → | |
| cache | 16–7 | 0.05 | 22% | 26 Oct → | |
| nuke | 3–16 | 0.02 | 28% | 26 Oct → | |
| inferno | 4–16 | -0.05 | 31% | 26 Oct → | |
| dust2 | 7–9 | 0.02 | 19% | 26 Oct → | |
| tuscan | 9–16 | 0.05 | 28% | 9 Oct → | |
| inferno | 16–6 | 0.12 | 26% | 9 Oct → | |
| cache | 16–4 | 0.20 | 27% | 9 Oct → | |
| dust2 | 4–9 | -0.01 | 24% | 10 May → | |
| inferno | 16–11 | 0.08 | 20% | 31 Aug → | |
| cache | 12–16 | 0.00 | 11% | 3 Mar → |
Match data via Leetify.
Recent teammates
Milestones
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