housecat — CS2 Stats
76561199442388420[U:1:1482122692]✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | vs Level 2 |
|---|---|---|---|
| Headshot rate | 53.0% | 42.1% | above |
| Shot accuracy | 16.2% | 12.9% | above |
| Kill/death ratio | 0.91 | 1.00 | 0.09 short |
| Match win rate | 48.6% | 42.9% | above |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 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: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 b1t 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
T-side openings. Opening success drops from 59% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 588ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 28 | 19–9 | 68% | -0.02 | |
| B | 24 | 13–11 | 54% | -0.03 | |
| C | 14 | 5–9 | 36% | -0.07 | |
| S | 12 | 9–3 | 75% | -0.01 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 14). 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.
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 29.862% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.01 | 23% | 18 Aug → | ||
| 3–0 | 0.00 | 0% | 18 Aug → | ||
| 13–7 | 0.07 | 29% | 18 Aug → | ||
| 8–13 | -0.03 | 0% | 17 Aug → | ||
| 8–13 | -0.05 | 42% | 16 Aug → | ||
| 13–6 | -0.01 | 23% | 16 Aug → | ||
| 13–10 | 0.03 | 35% | 16 Aug → | ||
| 13–4 | 0.07 | 24% | 15 Aug → | ||
| 6–13 | -0.00 | 8% | 15 Aug → | ||
| 10–13 | -0.04 | 23% | 14 Aug → | ||
| 11–13 | 0.01 | 22% | 14 Aug → | ||
| 13–8 | 0.05 | 15% | 14 Aug → | ||
| 16–14 | 0.06 | 18% | 14 Aug → | ||
| 13–9 | -0.01 | 20% | 12 Aug → | ||
| 13–6 | 0.05 | 33% | 12 Aug → | ||
| 13–9 | -0.01 | 19% | 12 Aug → | ||
| 13–3 | -0.01 | 17% | 11 Aug → | ||
| 13–7 | 0.06 | 20% | 11 Aug → | ||
| 7–13 | -0.01 | 21% | 9 Aug → | ||
| 8–13 | 0.02 | 24% | 9 Aug → | ||
| 14–16 | 0.02 | 23% | 8 Aug → | ||
| 13–1 | 0.01 | 36% | 8 Aug → | ||
| 13–5 | 0.07 | 29% | 8 Aug → | ||
| 13–5 | 0.07 | 23% | 8 Aug → | ||
| 16–12 | -0.06 | 26% | 28 Mar → | ||
| 13–9 | -0.02 | 21% | 28 Mar → | ||
| 9–7 | -0.06 | 20% | 20 Sept → | ||
| 6–9 | -0.06 | 19% | 20 Sept → | ||
| 4–9 | -0.06 | 32% | 20 Sept → | ||
| 5–9 | -0.06 | 10% | 20 Sept → | ||
| 8–8 | 0.04 | 16% | 15 Sept → | ||
| 9–3 | 0.01 | 25% | 14 Sept → | ||
| 0–2 | -0.28 | 0% | 19 Aug → | ||
| 9–1 | -0.10 | 18% | 15 Jun → | ||
| 9–4 | -0.04 | 13% | 15 Jun → | ||
| 8–8 | -0.08 | 17% | 15 Jun → | ||
| 8–8 | 0.04 | 13% | 15 Jun → | ||
| 9–7 | -0.02 | 10% | 15 Jun → | ||
| 9–4 | 0.00 | 10% | 15 Jun → | ||
| 9–3 | -0.03 | 18% | 11 Jun → | ||
| 7–9 | 0.06 | 26% | 11 Jun → | ||
| 6–9 | -0.00 | 16% | 11 Jun → | ||
| 9–3 | -0.06 | 9% | 11 Jun → | ||
| 0–0 | 0.00 | 0% | 9 Jun → | ||
| 7–9 | -0.07 | 24% | 9 Jun → | ||
| 16–11 | -0.05 | 19% | 7 Jun → | ||
| 16–9 | -0.05 | 25% | 6 Jun → | ||
| 16–10 | -0.02 | 14% | 6 Jun → | ||
| 16–2 | 0.03 | 29% | 6 Jun → | ||
| 16–10 | -0.01 | 24% | 6 Jun → | ||
| 16–4 | 0.08 | 22% | 6 Jun → | ||
| 16–3 | -0.03 | 9% | 5 Jun → | ||
| 16–5 | 0.11 | 21% | 5 Jun → | ||
| 16–14 | -0.08 | 11% | 5 Jun → | ||
| 16–7 | -0.00 | 7% | 5 Jun → | ||
| 16–14 | -0.05 | 23% | 5 Jun → | ||
| 15–15 | -0.04 | 18% | 4 Jun → | ||
| 2–16 | -0.13 | 40% | 4 Jun → | ||
| 16–0 | -0.03 | 31% | 4 Jun → | ||
| 4–9 | -0.14 | 0% | 4 Jun → | ||
| 16–13 | -0.10 | 5% | 4 Jun → | ||
| 16–9 | -0.01 | 16% | 4 Jun → | ||
| 16–13 | -0.03 | 18% | 4 Jun → | ||
| 0–9 | -0.13 | 100% | 4 Jun → | ||
| 2–9 | -0.04 | 8% | 4 Jun → | ||
| 2–9 | 0.02 | 19% | 4 Jun → | ||
| 3–9 | -0.01 | 30% | 3 Jun → | ||
| 14–16 | -0.02 | 19% | 3 Jun → | ||
| 16–6 | -0.04 | 10% | 3 Jun → | ||
| 16–11 | 0.07 | 13% | 3 Jun → | ||
| 8–8 | -0.08 | 15% | 3 Jun → | ||
| 9–4 | 0.02 | 38% | 3 Jun → | ||
| 9–3 | 0.00 | 17% | 3 Jun → | ||
| 16–0 | -0.06 | 33% | 3 Jun → | ||
| 11–0 | -0.09 | 0% | 3 Jun → | ||
| 5–9 | -0.04 | 33% | 3 Jun → | ||
| 1–16 | -0.08 | 40% | 19 May → | ||
| 1–9 | -0.09 | 38% | 19 May → | ||
| 9–16 | -0.09 | 25% | 19 May → | ||
| 9–1 | -0.02 | 10% | 19 May → | ||
| 16–9 | -0.01 | 12% | 19 May → | ||
| 0–9 | -0.11 | 0% | 19 May → | ||
| 16–11 | 0.00 | 10% | 18 May → | ||
| 16–10 | 0.05 | 9% | 18 May → | ||
| 15–15 | -0.02 | 15% | 18 May → | ||
| 2–9 | -0.10 | 15% | 18 May → | ||
| 25–23 | 0.00 | 10% | 18 May → | ||
| 16–8 | -0.00 | 16% | 18 May → | ||
| 16–13 | 0.02 | 18% | 18 May → | ||
| 16–13 | -0.10 | 9% | 18 May → | ||
| 9–3 | 0.06 | 13% | 18 May → | ||
| 7–9 | -0.05 | 9% | 17 May → | ||
| 8–8 | -0.05 | 10% | 17 May → | ||
| 16–7 | -0.03 | 18% | 17 May → | ||
| 4–16 | -0.09 | 16% | 17 May → | ||
| 8–8 | -0.08 | 17% | 17 May → | ||
| 16–6 | 0.02 | 23% | 17 May → | ||
| 4–9 | -0.13 | 23% | 16 May → | ||
| 16–13 | -0.02 | 11% | 16 May → | ||
| 9–4 | -0.08 | 0% | 16 May → |
Match data via Leetify.