Tulip — CS2 Stats
76561198316732761[U:1:356467033]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 55.1% | 47.2% | 49.0% | above |
| Shot accuracy | 19.0% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.76 | 1.07 | 1.08 | above |
| Match win rate | 63.9% | 46.3% | 46.9% | above |
Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.08 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited 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 device 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.9/10 (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 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 |
|---|---|---|---|---|---|
 mirage | A | 24 | 15–9 | 63% | 0.04 |
 cache | C | 14 | 5–9 | 36% | 0.05 |
| office | A | 11 | 6–5 | 55% | 0.08 |
 dust2 | C | 11 | 4–7 | 36% | -0.01 |
 nuke | D | 9 | 2–7 | 22% | -0.01 |
 anubis | S | 7 | 7–0 | 100% | 0.05 |
 ancient | B | 6 | 3–3 | 50% | 0.01 |
 inferno | — | 4 | 2–2 | 50% | 0.07 |
 train | — | 3 | 1–2 | 33% | 0.00 |
 vertigo | — | 3 | 2–1 | 67% | 0.01 |
 overpass | — | 3 | 1–2 | 33% | 0.07 |
| fachwerk | — | 2 | 1–1 | 50% | 0.12 |
| shelter | — | 2 | 1–1 | 50% | 0.08 |
| alpine | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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 | 16 | 56% | 1.84 | 17.6 |
| Anubis | 9 | 89% | 1.52 | 14.9 |
| Dust2 | 9 | 78% | 1.32 | 16.6 |
| Ancient | 5 | 20% | 0.90 | 13.6 |
| Inferno | 3 | 33% | 1.27 | 15.0 |
| Train | 2 | 50% | 1.32 | 26.0 |
| Nuke | 2 | 100% | 1.78 | 18.5 |
| Vertigo | 1 | 100% | 2.14 | 15.0 |
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.
- 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 0.2344 — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–6 | 0.11 | 33% | 26 Aug → | |
| cache | 13–2 | 0.15 | 42% | 18 Aug → | |
| dust2 | 13–8 | 0.08 | 37% | 18 Aug → | |
| anubis | 13–5 | 0.14 | 34% | 18 Aug → | |
| train | 3–13 | -0.01 | 22% | 14 Aug → | |
| anubis | 13–9 | 0.05 | 45% | 12 Aug → | |
| mirage | 4–13 | 0.09 | 38% | 12 Aug → | |
| mirage | 13–4 | 0.03 | 23% | 12 Aug → | |
| nuke | 13–5 | -0.03 | 24% | 12 Aug → | |
| cache | 8–13 | 0.04 | 39% | 10 Aug → | |
| fachwerk | 9–13 | 0.03 | 35% | 9 Aug → | |
| mirage | 3–13 | -0.03 | 21% | 9 Aug → | |
| office | 13–9 | 0.08 | 39% | 30 Jul → | |
| mirage | 9–13 | 0.02 | 23% | 29 Jul → | |
| ancient | 6–13 | -0.05 | 29% | 29 Jul → | |
| dust2 | 13–10 | -0.00 | 28% | 29 Jul → | |
| anubis | 13–7 | -0.04 | 16% | 28 Jul → | |
| anubis | 13–8 | -0.01 | 13% | 28 Jul → | |
| dust2 | 2–8 | -0.14 | 33% | 28 Jul → | |
| mirage | 5–13 | 0.02 | 29% | 27 Jul → | |
| ancient | 13–11 | 0.05 | 39% | 27 Jul → | |
| ancient | 13–0 | 0.00 | 14% | 25 Jul → | |
| nuke | 9–13 | 0.02 | 28% | 25 Jul → | |
| office | 5–13 | -0.01 | 43% | 16 Jul → | |
| shelter | 6–13 | -0.01 | 16% | 16 Jul → | |
| fachwerk | 13–7 | 0.22 | 41% | 15 Jul → | |
| shelter | 13–2 | 0.17 | 50% | 15 Jul → | |
| inferno | 13–6 | 0.13 | 37% | 11 Jul → | |
| mirage | 13–11 | 0.07 | 21% | 11 Jul → | |
| ancient | 8–13 | 0.07 | 27% | 11 Jul → | |
| mirage | 5–13 | 0.05 | 19% | 5 Jul → | |
| alpine | 13–8 | 0.10 | 36% | 3 Jul → | |
| dust2 | 11–13 | 0.01 | 20% | 3 Jul → | |
| office | 13–5 | 0.03 | 33% | 3 Jul → | |
| office | 8–13 | 0.07 | 38% | 3 Jul → | |
| cache | 11–13 | 0.10 | 26% | 1 Jul → | |
| cache | 13–7 | 0.06 | 29% | 1 Jul → | |
| ancient | 13–10 | 0.04 | 28% | 27 Jun → | |
| mirage | 13–11 | 0.08 | 33% | 24 Jun → | |
| office | 6–2 | 0.21 | 57% | 24 Jun → | |
| mirage | 13–8 | 0.03 | 37% | 23 Jun → | |
| nuke | 1–12 | -0.09 | 16% | 19 Jun → | |
| mirage | 13–4 | 0.04 | 15% | 19 Jun → | |
| anubis | 13–11 | 0.01 | 31% | 12 Jun → | |
| cache | 2–13 | 0.05 | 31% | 10 Jun → | |
| office | 7–13 | -0.03 | 33% | 9 Jun → | |
| vertigo | 13–8 | 0.14 | 29% | 9 Jun → | |
| overpass | 13–1 | 0.07 | 30% | 29 May → | |
| mirage | 13–9 | 0.02 | 29% | 29 May → | |
| nuke | 4–13 | 0.07 | 30% | 27 May → | |
| cache | 9–13 | 0.00 | 20% | 27 May → | |
| mirage | 13–7 | 0.07 | 33% | 23 May → | |
| mirage | 13–1 | 0.10 | 24% | 23 May → | |
| cache | 5–13 | 0.05 | 29% | 23 May → | |
| mirage | 13–0 | 0.07 | 28% | 18 May → | |
| nuke | 13–6 | 0.05 | 39% | 18 May → | |
| office | 7–13 | 0.14 | 40% | 16 May → | |
| office | 13–5 | 0.04 | 54% | 16 May → | |
| mirage | 8–13 | -0.05 | 65% | 13 May → | |
| dust2 | 9–13 | 0.04 | 35% | 13 May → | |
| mirage | 13–1 | 0.03 | 58% | 11 May → | |
| mirage | 4–13 | -0.00 | 33% | 11 May → | |
| ancient | 1–13 | -0.04 | 43% | 11 May → | |
| dust2 | 5–13 | -0.04 | 23% | 11 May → | |
| dust2 | 5–13 | -0.05 | 28% | 11 May → | |
| vertigo | 13–4 | -0.03 | 18% | 11 May → | |
| vertigo | 7–13 | -0.07 | 9% | 11 May → | |
| inferno | 13–9 | 0.13 | 29% | 10 May → | |
| inferno | 7–13 | 0.05 | 41% | 10 May → | |
| train | 8–1 | 0.04 | 44% | 10 May → | |
| inferno | 6–13 | -0.02 | 27% | 10 May → | |
| overpass | 12–12 | 0.01 | 36% | 10 May → | |
| dust2 | 0–8 | -0.03 | 40% | 10 May → | |
| cache | 9–13 | -0.02 | 25% | 9 May → | |
| office | 10–13 | 0.10 | 53% | 9 May → | |
| dust2 | 13–1 | 0.08 | 21% | 9 May → | |
| nuke | 10–13 | -0.06 | 36% | 9 May → | |
| cache | 12–12 | -0.05 | 33% | 6 May → | |
| cache | 13–6 | 0.06 | 46% | 6 May → | |
| cache | 12–12 | 0.08 | 30% | 6 May → | |
| cache | 12–12 | 0.04 | 28% | 4 May → | |
| cache | 13–7 | 0.07 | 18% | 4 May → | |
| mirage | 13–3 | 0.05 | 25% | 3 May → | |
| cache | 13–7 | 0.03 | 20% | 3 May → | |
| office | 13–1 | 0.12 | 36% | 24 Apr → | |
| mirage | 5–13 | 0.15 | 49% | 24 Apr → | |
| train | 2–13 | -0.02 | 43% | 24 Apr → | |
| overpass | 11–13 | 0.12 | 50% | 19 Apr → | |
| nuke | 12–12 | 0.02 | 21% | 19 Apr → | |
| anubis | 13–8 | 0.13 | 28% | 1 Apr → | |
| mirage | 13–2 | 0.11 | 54% | 26 Mar → | |
| dust2 | 4–13 | -0.01 | 31% | 26 Mar → | |
| nuke | 12–12 | -0.01 | 19% | 26 Mar → | |
| nuke | 7–13 | -0.05 | 42% | 25 Mar → | |
| mirage | 13–8 | 0.02 | 20% | 25 Mar → | |
| mirage | 13–2 | 0.03 | 33% | 22 Mar → | |
| mirage | 4–13 | -0.03 | 29% | 22 Mar → | |
| mirage | 13–5 | -0.03 | 26% | 22 Mar → | |
| dust2 | 13–4 | -0.03 | 13% | 20 Mar → | |
| anubis | 13–7 | 0.05 | 35% | 20 Mar → |
Match data via Leetify.
