Big Lidl — CS2 Stats
76561198143955821[U:1:183690093]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 38.2% | 40.1% | 41.7% | 3.4% short |
| Shot accuracy | 19.3% | 7.6% | 8.8% | above |
| Kill/death ratio | 1.11 | 0.92 | 0.97 | above |
| Match win rate | 38.6% | 42.2% | 43.8% | 5.2% short |
This profile matches the typical Blue band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Blue band 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: +0pp win rate · -0.01 avg rating
Player DNA
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 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
Flashes. 0.92 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 702ms 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 4.7/10 (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 |
|---|---|---|---|---|---|
| C | 70 | 26–44 | 37% | 0.01 | |
| poseidon | B | 19 | 10–9 | 53% | 0.06 |
| C | 5 | 2–3 | 40% | 0.03 | |
| rooftop | — | 3 | 1–2 | 33% | 0.02 |
| — | 1 | 0–1 | 0% | 0.02 | |
| sanctum | — | 1 | 0–1 | 0% | -0.08 |
| — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (37% over 70). Start with the 6 essential Mirage 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0334° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 701.9042ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
37% win rate across 70 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| poseidon | 9–3 | 0.15 | 20% | 2 Jun → | |
| poseidon | 9–6 | 0.18 | 22% | 2 Jun → | |
| 4–9 | -0.06 | 19% | 2 Jun → | ||
| 13–7 | 0.00 | 17% | 29 Apr → | ||
| 5–13 | 0.02 | 10% | 1 Apr → | ||
| 13–4 | -0.01 | 17% | 31 Mar → | ||
| 9–13 | -0.05 | 9% | 30 Mar → | ||
| 12–12 | 0.06 | 20% | 30 Mar → | ||
| poseidon | 4–9 | -0.09 | 47% | 29 Mar → | |
| poseidon | 9–5 | 0.14 | 50% | 29 Mar → | |
| poseidon | 9–7 | 0.08 | 19% | 29 Mar → | |
| 9–5 | 0.15 | 14% | 29 Mar → | ||
| 9–7 | 0.12 | 19% | 29 Mar → | ||
| 8–13 | -0.02 | 25% | 29 Mar → | ||
| 4–13 | 0.02 | 18% | 29 Mar → | ||
| 12–12 | 0.03 | 14% | 29 Mar → | ||
| 13–10 | -0.02 | 29% | 29 Mar → | ||
| 4–13 | -0.03 | 24% | 29 Mar → | ||
| 3–13 | 0.00 | 20% | 29 Mar → | ||
| 13–9 | 0.14 | 25% | 28 Mar → | ||
| 7–13 | 0.00 | 28% | 28 Mar → | ||
| 10–13 | 0.04 | 20% | 25 Mar → | ||
| 10–13 | 0.04 | 18% | 24 Mar → | ||
| 12–12 | -0.03 | 12% | 24 Mar → | ||
| 13–7 | 0.04 | 9% | 24 Mar → | ||
| 13–9 | -0.01 | 15% | 24 Mar → | ||
| 12–12 | 0.03 | 13% | 24 Mar → | ||
| 13–9 | -0.04 | 15% | 19 Mar → | ||
| 13–7 | 0.06 | 24% | 19 Mar → | ||
| 9–13 | 0.05 | 17% | 19 Mar → | ||
| poseidon | 4–9 | 0.05 | 27% | 23 Feb → | |
| poseidon | 6–9 | -0.10 | 20% | 23 Feb → | |
| poseidon | 2–9 | -0.14 | 21% | 19 Feb → | |
| poseidon | 6–9 | 0.01 | 32% | 19 Feb → | |
| poseidon | 7–9 | 0.18 | 19% | 19 Feb → | |
| poseidon | 9–6 | 0.10 | 29% | 18 Feb → | |
| poseidon | 9–2 | 0.13 | 21% | 18 Feb → | |
| poseidon | 9–3 | -0.04 | 25% | 18 Feb → | |
| poseidon | 8–8 | 0.08 | 13% | 18 Feb → | |
| poseidon | 9–1 | 0.16 | 64% | 18 Feb → | |
| poseidon | 6–9 | -0.03 | 11% | 18 Feb → | |
| poseidon | 9–1 | 0.07 | 16% | 18 Feb → | |
| 6–13 | -0.03 | 10% | 15 Feb → | ||
| 9–13 | 0.12 | 18% | 10 Feb → | ||
| 11–13 | 0.02 | 11% | 10 Feb → | ||
| 12–12 | 0.07 | 21% | 9 Feb → | ||
| poseidon | 9–5 | 0.12 | 31% | 9 Feb → | |
| 13–4 | 0.11 | 18% | 8 Feb → | ||
| 13–10 | 0.10 | 10% | 7 Feb → | ||
| 13–1 | 0.02 | 14% | 7 Feb → | ||
| 9–13 | 0.05 | 16% | 6 Feb → | ||
| 13–7 | 0.02 | 15% | 5 Feb → | ||
| 7–13 | -0.09 | 16% | 30 Jan → | ||
| 13–7 | 0.11 | 12% | 28 Jan → | ||
| 7–3 | 0.05 | 20% | 28 Jan → | ||
| 12–12 | -0.01 | 36% | 25 Jan → | ||
| 9–13 | 0.02 | 18% | 25 Jan → | ||
| 11–13 | -0.01 | 21% | 25 Jan → | ||
| poseidon | 8–8 | 0.14 | 21% | 24 Jan → | |
| sanctum | 5–9 | -0.08 | 9% | 24 Jan → | |
| 12–12 | -0.01 | 7% | 22 Jan → | ||
| 9–13 | -0.04 | 13% | 15 Jan → | ||
| 10–13 | 0.00 | 8% | 12 Jan → | ||
| 2–13 | -0.02 | 3% | 12 Jan → | ||
| 13–10 | 0.06 | 11% | 7 Jan → | ||
| 6–13 | -0.06 | 30% | 7 Jan → | ||
| 13–8 | 0.11 | 21% | 4 Jan → | ||
| 8–13 | -0.02 | 21% | 4 Jan → | ||
| 6–13 | -0.02 | 13% | 4 Jan → | ||
| 12–12 | -0.05 | 26% | 29 Dec → | ||
| 13–4 | 0.01 | 27% | 29 Dec → | ||
| 13–9 | -0.11 | 17% | 29 Dec → | ||
| 11–13 | -0.01 | 17% | 29 Dec → | ||
| 3–9 | -0.05 | 30% | 29 Dec → | ||
| 13–5 | 0.10 | 22% | 29 Dec → | ||
| 3–13 | -0.05 | 12% | 29 Dec → | ||
| 5–9 | 0.01 | 8% | 29 Dec → | ||
| rooftop | 5–9 | -0.10 | 15% | 29 Dec → | |
| 6–9 | 0.06 | 11% | 29 Dec → | ||
| 5–9 | -0.08 | 31% | 27 Dec → | ||
| 8–13 | -0.04 | 26% | 27 Dec → | ||
| 9–13 | -0.02 | 15% | 11 Dec → | ||
| 13–4 | 0.01 | 19% | 11 Dec → | ||
| 13–4 | 0.03 | 17% | 11 Dec → | ||
| 9–13 | 0.01 | 17% | 10 Dec → | ||
| 8–13 | 0.10 | 24% | 10 Dec → | ||
| rooftop | 7–9 | 0.09 | 14% | 10 Dec → | |
| 10–13 | 0.05 | 21% | 8 Dec → | ||
| 13–7 | 0.01 | 12% | 4 Dec → | ||
| 13–5 | 0.03 | 33% | 4 Dec → | ||
| 12–12 | 0.03 | 9% | 4 Dec → | ||
| 13–9 | -0.01 | 14% | 3 Dec → | ||
| 12–12 | -0.02 | 17% | 1 Dec → | ||
| 12–12 | 0.03 | 16% | 1 Dec → | ||
| 13–9 | 0.02 | 15% | 1 Dec → | ||
| 13–6 | 0.06 | 28% | 1 Dec → | ||
| 8–13 | 0.05 | 13% | 28 Nov → | ||
| 8–13 | 0.05 | 15% | 28 Nov → | ||
| 7–13 | -0.06 | 29% | 28 Nov → | ||
| rooftop | 9–6 | 0.06 | 14% | 28 Nov → |
Match data via Leetify.