tivvy — CS2 Stats
AU76561198114586382[U:1:154320654]Steam profile ↗
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 | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 39.8% | 42.1% | 42.1% | 2.3% short |
| Shot accuracy | 11.2% | 12.9% | 12.1% | 0.9% short |
| Kill/death ratio | 1.19 | 1.00 | 0.99 | above |
| Match win rate | 46.1% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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: -10pp win rate · -0.00 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 NiKo 86% 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 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 621ms 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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 dust2 | C | 32 | 12–20 | 38% | -0.01 |
 cache | B | 15 | 7–8 | 47% | 0.03 |
 mirage | C | 12 | 5–7 | 42% | 0.01 |
 inferno | D | 11 | 2–9 | 18% | 0.00 |
 ancient | D | 8 | 2–6 | 25% | 0.01 |
 nuke | S | 7 | 5–2 | 71% | 0.03 |
 overpass | A | 5 | 3–2 | 60% | 0.02 |
 anubis | — | 4 | 1–3 | 25% | -0.01 |
 vertigo | — | 2 | 1–1 | 50% | -0.00 |
 train | — | 2 | 2–0 | 100% | 0.02 |
| office | — | 1 | 1–0 | 100% | 0.00 |
| italy | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (18% over 11). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
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.
- 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 0.4884 — below the 0.5 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 27.3036% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–13 | 0.03 | 21% | 4 Jul → | |
| anubis | 13–6 | 0.03 | 30% | 15 Jun → | |
| dust2 | 2–8 | -0.06 | 44% | 13 Jun → | |
| anubis | 9–10 | -0.05 | 18% | 12 Jun → | |
| dust2 | 13–3 | -0.04 | 23% | 9 Jun → | |
| ancient | 5–13 | -0.04 | 17% | 5 Jun → | |
| mirage | 12–12 | 0.06 | 40% | 31 May → | |
| dust2 | 1–13 | -0.05 | 33% | 31 May → | |
| vertigo | 11–13 | 0.01 | 22% | 25 May → | |
| dust2 | 4–13 | -0.04 | 24% | 25 May → | |
| cache | 13–8 | 0.10 | 23% | 24 May → | |
| cache | 5–13 | -0.08 | 33% | 23 May → | |
| anubis | 9–13 | -0.02 | 19% | 23 May → | |
| anubis | 11–13 | 0.02 | 37% | 22 May → | |
| inferno | 2–13 | -0.04 | 29% | 22 May → | |
| overpass | 8–13 | -0.05 | 26% | 22 May → | |
| cache | 13–10 | 0.06 | 29% | 17 May → | |
| dust2 | 3–13 | -0.11 | 23% | 17 May → | |
| cache | 3–13 | 0.00 | 29% | 17 May → | |
| dust2 | 8–2 | -0.01 | 19% | 16 May → | |
| cache | 13–10 | -0.01 | 39% | 16 May → | |
| dust2 | 2–13 | -0.04 | 29% | 16 May → | |
| cache | 13–5 | 0.06 | 30% | 14 May → | |
| office | 13–7 | 0.00 | 33% | 14 May → | |
| dust2 | 10–13 | 0.05 | 32% | 14 May → | |
| cache | 9–13 | -0.03 | 22% | 13 May → | |
| mirage | 12–12 | -0.02 | 29% | 13 May → | |
| dust2 | 16–12 | -0.07 | 13% | 8 May → | |
| cache | 13–7 | 0.12 | 24% | 8 May → | |
| dust2 | 9–13 | -0.02 | 33% | 7 May → | |
| mirage | 11–13 | 0.03 | 22% | 7 May → | |
| nuke | 13–8 | 0.00 | 26% | 7 May → | |
| cache | 7–13 | 0.05 | 21% | 5 May → | |
| nuke | 13–7 | 0.08 | 32% | 4 May → | |
| cache | 3–1 | -0.03 | 29% | 4 May → | |
| cache | 13–5 | 0.04 | 21% | 4 May → | |
| cache | 10–13 | 0.05 | 22% | 3 May → | |
| cache | 1–13 | -0.01 | 41% | 3 May → | |
| ancient | 4–13 | -0.09 | 35% | 2 May → | |
| cache | 9–13 | 0.03 | 39% | 2 May → | |
| overpass | 10–13 | -0.00 | 20% | 28 Apr → | |
| ancient | 13–8 | 0.02 | 20% | 28 Apr → | |
| mirage | 13–8 | 0.04 | 21% | 28 Apr → | |
| inferno | 2–13 | -0.07 | 21% | 27 Apr → | |
| inferno | 13–10 | -0.01 | 12% | 27 Apr → | |
| dust2 | 13–11 | -0.02 | 22% | 27 Apr → | |
| nuke | 10–13 | 0.03 | 30% | 24 Apr → | |
| ancient | 13–6 | 0.08 | 13% | 24 Apr → | |
| mirage | 4–13 | -0.03 | 21% | 24 Apr → | |
| ancient | 10–13 | 0.01 | 25% | 17 Apr → | |
| dust2 | 13–11 | 0.04 | 22% | 17 Apr → | |
| ancient | 6–13 | 0.00 | 31% | 17 Apr → | |
| mirage | 13–7 | 0.02 | 19% | 17 Apr → | |
| mirage | 4–13 | -0.06 | 29% | 15 Apr → | |
| inferno | 15–15 | -0.04 | 25% | 15 Apr → | |
| mirage | 13–7 | -0.01 | 25% | 15 Apr → | |
| dust2 | 6–13 | -0.04 | 30% | 15 Apr → | |
| inferno | 8–13 | 0.01 | 28% | 14 Apr → | |
| nuke | 13–9 | -0.01 | 29% | 14 Apr → | |
| nuke | 14–16 | -0.02 | 20% | 14 Apr → | |
| dust2 | 13–11 | -0.00 | 26% | 27 Dec → | |
| mirage | 14–16 | -0.02 | 19% | 18 Dec → | |
| mirage | 3–13 | 0.04 | 20% | 18 Dec → | |
| inferno | 13–1 | 0.17 | 32% | 11 Dec → | |
| dust2 | 6–13 | 0.01 | 15% | 11 Dec → | |
| nuke | 13–6 | 0.08 | 21% | 11 Dec → | |
| dust2 | 13–6 | 0.09 | 24% | 11 Dec → | |
| dust2 | 11–13 | -0.02 | 23% | 11 Dec → | |
| ancient | 9–13 | 0.04 | 25% | 10 Dec → | |
| overpass | 13–1 | 0.10 | 31% | 10 Dec → | |
| dust2 | 13–9 | -0.00 | 14% | 10 Dec → | |
| dust2 | 12–12 | 0.04 | 18% | 10 Dec → | |
| overpass | 13–7 | 0.01 | 24% | 10 Dec → | |
| ancient | 8–13 | 0.02 | 21% | 9 Dec → | |
| train | 13–9 | 0.04 | 29% | 9 Dec → | |
| inferno | 12–12 | 0.06 | 19% | 9 Dec → | |
| dust2 | 7–13 | -0.03 | 19% | 9 Dec → | |
| italy | 13–10 | 0.00 | 11% | 9 Dec → | |
| inferno | 9–13 | -0.00 | 16% | 9 Dec → | |
| dust2 | 8–13 | -0.03 | 24% | 8 Dec → | |
| dust2 | 13–2 | 0.04 | 44% | 8 Dec → | |
| dust2 | 13–8 | 0.05 | 38% | 8 Dec → | |
| mirage | 13–11 | 0.04 | 24% | 8 Dec → | |
| dust2 | 7–13 | -0.07 | 25% | 8 Dec → | |
| dust2 | 11–13 | -0.02 | 31% | 8 Dec → | |
| overpass | 16–14 | 0.03 | 35% | 7 Dec → | |
| train | 13–7 | -0.00 | 16% | 6 Dec → | |
| dust2 | 3–13 | -0.04 | 19% | 6 Dec → | |
| nuke | 13–5 | 0.01 | 13% | 6 Dec → | |
| vertigo | 13–4 | -0.01 | 16% | 6 Dec → | |
| mirage | 13–11 | 0.07 | 31% | 6 Dec → | |
| dust2 | 12–12 | -0.03 | 24% | 30 Nov → | |
| dust2 | 8–13 | 0.02 | 19% | 30 Nov → | |
| dust2 | 13–4 | 0.03 | 46% | 30 Nov → | |
| dust2 | 13–1 | 0.15 | 21% | 30 Nov → | |
| inferno | 10–13 | 0.01 | 17% | 30 Nov → | |
| dust2 | 7–13 | 0.01 | 23% | 30 Nov → | |
| dust2 | 11–13 | -0.00 | 12% | 29 Nov → | |
| inferno | 8–13 | -0.04 | 19% | 29 Nov → | |
| inferno | 6–13 | -0.02 | 26% | 29 Nov → |
Match data via Leetify.