calliefied lover — CS2 Stats
76561199043188855[U:1:1082923127]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 34.8% | 42.1% | 42.5% | 7.7% short |
| Shot accuracy | 1.0% | 12.1% | 10.9% | 9.8% short |
| Kill/death ratio | 0.95 | 0.99 | 0.99 | 0.04 short |
| Match win rate | 46.9% | 43.9% | 44.2% | above |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 Twistzz 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | -0.01 | |
| C | 19 | 7–12 | 37% | -0.01 | |
| C | 19 | 8–11 | 42% | -0.03 | |
| B | 12 | 6–6 | 50% | -0.03 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| D | 7 | 2–5 | 29% | -0.04 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| italy | — | 1 | 1–0 | 100% | -0.04 |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 49 | 37% | 0.87 | 14.2 |
| Nuke | 39 | 64% | 0.94 | 13.9 |
| Dust2 | 35 | 49% | 1.05 | 16.5 |
| Cache | 22 | 64% | 0.78 | 12.4 |
| Inferno | 19 | 32% | 0.86 | 13.1 |
| Ancient | 16 | 50% | 0.85 | 14.4 |
| Anubis | 7 | 43% | 0.79 | 12.0 |
| Overpass | 3 | 33% | 1.02 | 16.3 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.1944% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.489 — below the 4 mark we flag
- 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 30.034% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.00 | 30% | 28 Aug → | ||
| 13–10 | -0.04 | 14% | 28 Aug → | ||
| 13–6 | 0.06 | 10% | 28 Aug → | ||
| 8–13 | 0.01 | 13% | 26 Aug → | ||
| 11–13 | 0.02 | 18% | 25 Aug → | ||
| 7–13 | -0.06 | 19% | 25 Aug → | ||
| 13–8 | 0.06 | 14% | 25 Aug → | ||
| 10–13 | 0.06 | 10% | 24 Aug → | ||
| 8–8 | -0.10 | 42% | 22 Aug → | ||
| 16–12 | -0.02 | 11% | 21 Aug → | ||
| 13–5 | -0.08 | 10% | 21 Aug → | ||
| 8–13 | -0.04 | 9% | 21 Aug → | ||
| 13–3 | 0.04 | 11% | 21 Aug → | ||
| 13–11 | 0.02 | 16% | 19 Aug → | ||
| 13–16 | -0.02 | 12% | 19 Aug → | ||
| 13–10 | -0.01 | 10% | 16 Aug → | ||
| 13–3 | 0.08 | 15% | 16 Aug → | ||
| 13–7 | 0.00 | 7% | 16 Aug → | ||
| 13–10 | -0.07 | 16% | 15 Aug → | ||
| 13–11 | 0.02 | 7% | 15 Aug → | ||
| 8–13 | 0.00 | 11% | 15 Aug → | ||
| 13–6 | -0.01 | 12% | 15 Aug → | ||
| 9–13 | -0.03 | 14% | 15 Aug → | ||
| 8–13 | -0.08 | 8% | 14 Aug → | ||
| 15–19 | 0.03 | 16% | 13 Aug → | ||
| 7–13 | -0.08 | 13% | 13 Aug → | ||
| 7–12 | -0.05 | 13% | 13 Aug → | ||
| 7–13 | -0.03 | 11% | 13 Aug → | ||
| 13–9 | -0.01 | 19% | 12 Aug → | ||
| 8–13 | -0.05 | 9% | 12 Aug → | ||
| 8–13 | -0.03 | 17% | 12 Aug → | ||
| 13–7 | -0.02 | 11% | 12 Aug → | ||
| 11–13 | 0.02 | 16% | 11 Aug → | ||
| 5–13 | -0.01 | 10% | 11 Aug → | ||
| 7–13 | -0.00 | 11% | 11 Aug → | ||
| 8–13 | -0.02 | 12% | 11 Aug → | ||
| 11–13 | -0.05 | 18% | 11 Aug → | ||
| 16–14 | 0.04 | 11% | 10 Aug → | ||
| 8–13 | -0.01 | 8% | 10 Aug → | ||
| 6–13 | -0.06 | 21% | 10 Aug → | ||
| 13–7 | -0.01 | 10% | 10 Aug → | ||
| 10–13 | -0.02 | 14% | 10 Aug → | ||
| 9–13 | -0.02 | 11% | 10 Aug → | ||
| 3–13 | -0.06 | 10% | 10 Aug → | ||
| 13–10 | -0.02 | 16% | 9 Aug → | ||
| 13–3 | 0.06 | 23% | 9 Aug → | ||
| 13–8 | 0.06 | 10% | 9 Aug → | ||
| 13–10 | -0.01 | 7% | 9 Aug → | ||
| 13–6 | -0.01 | 10% | 8 Aug → | ||
| 13–6 | 0.03 | 6% | 8 Aug → | ||
| 13–8 | 0.03 | 13% | 8 Aug → | ||
| 13–11 | 0.02 | 14% | 8 Aug → | ||
| 0–13 | -0.08 | 7% | 7 Aug → | ||
| 15–15 | -0.02 | 16% | 6 Aug → | ||
| 8–13 | -0.11 | 13% | 6 Aug → | ||
| 11–13 | -0.05 | 6% | 6 Aug → | ||
| 13–11 | -0.04 | 20% | 6 Aug → | ||
| 13–5 | 0.05 | 5% | 5 Aug → | ||
| 13–7 | -0.05 | 10% | 5 Aug → | ||
| 1–13 | -0.10 | 0% | 5 Aug → | ||
| 4–7 | -0.00 | 33% | 4 Aug → | ||
| 12–12 | -0.00 | 25% | 4 Aug → | ||
| 13–10 | -0.01 | 11% | 3 Aug → | ||
| 13–4 | -0.04 | 0% | 3 Aug → | ||
| 13–2 | 0.06 | 11% | 3 Aug → | ||
| 9–4 | 0.09 | 9% | 2 Aug → | ||
| 13–10 | 0.02 | 12% | 2 Aug → | ||
| 10–13 | -0.04 | 12% | 1 Aug → | ||
| 13–9 | -0.08 | 9% | 1 Aug → | ||
| 13–5 | 0.04 | 13% | 1 Aug → | ||
| 16–13 | -0.07 | 15% | 1 Aug → | ||
| 11–13 | -0.04 | 10% | 1 Aug → | ||
| 13–8 | 0.01 | 12% | 1 Aug → | ||
| 15–15 | -0.05 | 12% | 1 Aug → | ||
| 7–13 | -0.03 | 12% | 1 Aug → | ||
| 6–13 | -0.04 | 15% | 1 Aug → | ||
| 13–16 | -0.07 | 7% | 31 Jul → | ||
| 6–13 | -0.07 | 12% | 31 Jul → | ||
| 9–1 | -0.00 | 25% | 31 Jul → | ||
| 15–15 | 0.01 | 17% | 30 Jul → | ||
| 4–13 | 0.02 | 12% | 30 Jul → | ||
| 8–13 | -0.07 | 11% | 28 Jul → | ||
| 10–13 | -0.02 | 17% | 28 Jul → | ||
| 7–13 | -0.05 | 15% | 28 Jul → | ||
| 4–9 | -0.11 | 4% | 28 Jul → | ||
| 5–9 | -0.04 | 25% | 28 Jul → | ||
| 7–9 | -0.04 | 10% | 28 Jul → | ||
| 7–13 | -0.04 | 21% | 27 Jul → | ||
| 25–21 | -0.01 | 8% | 27 Jul → | ||
| 13–3 | -0.01 | 6% | 27 Jul → | ||
| 12–16 | -0.08 | 3% | 27 Jul → | ||
| 6–13 | -0.02 | 12% | 27 Jul → | ||
| 13–7 | -0.04 | 12% | 25 Jul → | ||
| 3–13 | -0.06 | 4% | 25 Jul → | ||
| italy | 13–11 | -0.04 | 0% | 25 Jul → | |
| 13–3 | 0.05 | 5% | 25 Jul → | ||
| 13–16 | -0.00 | 6% | 25 Jul → | ||
| 9–5 | -0.01 | 15% | 24 Jul → | ||
| 13–11 | -0.00 | 13% | 23 Jul → | ||
| 2–13 | -0.07 | 10% | 23 Jul → |
Match data via Leetify.