Real Trench Baby — CS2 Stats
76561198012761761[U:1:52496033]✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), 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 | 35.3% | 41.2% | 42.2% | 6.9% short |
| Shot accuracy | 11.1% | 12.5% | 11.9% | 0.8% short |
| Kill/death ratio | 0.65 | 0.96 | 0.98 | 0.33 short |
| Match win rate | 38.1% | 42.8% | 43.6% | 5.4% short |
This profile sits below the typical Level 3 player on every metric we can compare.
Widest gap: Kill/death ratio. 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.
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: +30pp win rate · -0.02 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 NiKo 56% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Reaction time. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 1.8/10 (Learning), 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 |
|---|---|---|---|---|---|
 cache | C | 36 | 14–22 | 39% | -0.06 |
 inferno | C | 26 | 10–16 | 38% | -0.06 |
 vertigo | C | 12 | 5–7 | 42% | -0.06 |
 dust2 | D | 8 | 1–7 | 13% | -0.07 |
 nuke | D | 6 | 1–5 | 17% | -0.06 |
 mirage | D | 6 | 1–5 | 17% | -0.06 |
 overpass | — | 2 | 2–0 | 100% | -0.08 |
| shelter | — | 1 | 0–1 | 0% | -0.11 |
 train | — | 1 | 0–1 | 0% | -0.08 |
 anubis | — | 1 | 1–0 | 100% | -0.11 |
 ancient | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 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 14.8913° — above the 12° mark we flag
- 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 9.5875% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 2–13 | -0.09 | 22% | 28 Aug → | |
| cache | 13–11 | -0.09 | 8% | 28 Aug → | |
| cache | 6–13 | -0.10 | 8% | 25 Aug → | |
| inferno | 13–2 | -0.07 | 14% | 25 Aug → | |
| cache | 13–11 | -0.10 | 13% | 24 Aug → | |
| dust2 | 6–13 | -0.09 | 5% | 21 Aug → | |
| cache | 13–10 | -0.11 | 4% | 21 Aug → | |
| nuke | 2–13 | -0.07 | 0% | 21 Aug → | |
| cache | 5–13 | -0.08 | 4% | 20 Aug → | |
| overpass | 13–4 | -0.13 | 17% | 18 Aug → | |
| cache | 4–13 | -0.04 | 15% | 17 Aug → | |
| cache | 6–13 | -0.08 | 5% | 5 Aug → | |
| vertigo | 13–10 | -0.09 | 0% | 3 Aug → | |
| cache | 4–13 | -0.10 | 0% | 3 Aug → | |
| inferno | 4–13 | -0.06 | 10% | 28 Jul → | |
| vertigo | 12–12 | -0.03 | 3% | 23 Jul → | |
| cache | 13–9 | -0.07 | 13% | 23 Jul → | |
| vertigo | 9–13 | -0.08 | 6% | 20 Jul → | |
| cache | 3–13 | -0.06 | 11% | 20 Jul → | |
| cache | 5–13 | -0.09 | 0% | 20 Jul → | |
| cache | 7–13 | -0.09 | 17% | 19 Jul → | |
| inferno | 13–11 | -0.06 | 0% | 17 Jul → | |
| cache | 13–8 | -0.07 | 16% | 17 Jul → | |
| nuke | 12–12 | -0.04 | 24% | 17 Jul → | |
| inferno | 3–13 | -0.12 | 0% | 17 Jul → | |
| cache | 6–13 | -0.08 | 37% | 17 Jul → | |
| mirage | 7–13 | -0.08 | 14% | 15 Jul → | |
| shelter | 10–13 | -0.11 | 14% | 15 Jul → | |
| mirage | 12–12 | -0.04 | 8% | 12 Jul → | |
| dust2 | 9–13 | -0.08 | 4% | 12 Jul → | |
| inferno | 13–5 | -0.08 | 4% | 11 Jul → | |
| overpass | 13–9 | -0.03 | 11% | 10 Jul → | |
| cache | 13–11 | -0.05 | 22% | 10 Jul → | |
| inferno | 6–13 | -0.04 | 13% | 9 Jul → | |
| cache | 13–5 | -0.01 | 7% | 9 Jul → | |
| cache | 13–6 | -0.02 | 16% | 1 Jul → | |
| cache | 3–4 | -0.04 | 33% | 30 Jun → | |
| cache | 12–12 | -0.04 | 13% | 23 Jun → | |
| cache | 13–10 | -0.05 | 12% | 4 Jun → | |
| vertigo | 7–13 | -0.11 | 0% | 3 Jun → | |
| cache | 7–13 | -0.02 | 15% | 3 Jun → | |
| cache | 13–9 | -0.07 | 32% | 31 May → | |
| mirage | 11–13 | -0.09 | 10% | 31 May → | |
| train | 7–13 | -0.08 | 9% | 29 May → | |
| cache | 9–13 | -0.11 | 18% | 29 May → | |
| cache | 13–9 | -0.08 | 5% | 27 May → | |
| inferno | 13–4 | -0.02 | 4% | 27 May → | |
| cache | 13–7 | -0.10 | 18% | 27 May → | |
| inferno | 12–12 | -0.07 | 10% | 25 May → | |
| cache | 7–13 | -0.10 | 9% | 25 May → | |
| dust2 | 1–13 | -0.09 | 18% | 23 May → | |
| cache | 10–13 | -0.05 | 13% | 23 May → | |
| cache | 5–13 | -0.07 | 9% | 23 May → | |
| cache | 12–12 | 0.02 | 31% | 22 May → | |
| inferno | 2–13 | -0.10 | 33% | 20 May → | |
| cache | 11–13 | -0.04 | 13% | 20 May → | |
| inferno | 2–13 | -0.06 | 0% | 19 May → | |
| cache | 13–5 | -0.05 | 12% | 18 May → | |
| cache | 12–12 | -0.02 | 8% | 18 May → | |
| vertigo | 12–12 | 0.03 | 7% | 13 May → | |
| cache | 12–12 | -0.02 | 6% | 13 May → | |
| cache | 12–12 | -0.08 | 13% | 8 May → | |
| cache | 10–13 | -0.06 | 9% | 5 May → | |
| cache | 11–13 | -0.08 | 13% | 5 May → | |
| inferno | 3–13 | -0.05 | 5% | 21 Apr → | |
| dust2 | 9–13 | -0.07 | 4% | 20 Apr → | |
| inferno | 13–9 | -0.00 | 16% | 20 Apr → | |
| nuke | 13–6 | -0.06 | 8% | 20 Apr → | |
| dust2 | 9–13 | -0.06 | 21% | 19 Apr → | |
| mirage | 9–13 | -0.03 | 11% | 19 Apr → | |
| anubis | 13–11 | -0.11 | 4% | 18 Apr → | |
| dust2 | 13–4 | -0.01 | 5% | 18 Apr → | |
| vertigo | 13–11 | -0.04 | 8% | 18 Apr → | |
| inferno | 3–13 | -0.04 | 0% | 17 Apr → | |
| inferno | 5–13 | -0.06 | 0% | 17 Apr → | |
| inferno | 13–11 | -0.09 | 15% | 16 Apr → | |
| mirage | 13–10 | -0.03 | 19% | 16 Apr → | |
| mirage | 5–13 | -0.10 | 17% | 15 Apr → | |
| inferno | 8–13 | -0.06 | 4% | 9 Apr → | |
| vertigo | 2–13 | -0.12 | 5% | 9 Apr → | |
| inferno | 13–8 | -0.02 | 12% | 3 Apr → | |
| dust2 | 10–13 | -0.05 | 9% | 3 Apr → | |
| inferno | 13–8 | -0.06 | 0% | 3 Apr → | |
| nuke | 5–13 | -0.10 | 3% | 3 Apr → | |
| inferno | 12–12 | -0.06 | 9% | 1 Apr → | |
| inferno | 3–13 | -0.06 | 3% | 1 Apr → | |
| vertigo | 13–9 | -0.03 | 10% | 30 Mar → | |
| inferno | 12–12 | -0.08 | 20% | 15 Mar → | |
| vertigo | 13–11 | -0.06 | 15% | 15 Mar → | |
| inferno | 9–13 | -0.03 | 8% | 15 Mar → | |
| vertigo | 13–11 | -0.06 | 10% | 27 Feb → | |
| nuke | 5–13 | -0.01 | 10% | 26 Feb → | |
| inferno | 10–13 | -0.11 | 16% | 26 Feb → | |
| vertigo | 4–13 | -0.07 | 17% | 26 Feb → | |
| vertigo | 6–13 | -0.05 | 11% | 22 Feb → | |
| ancient | 11–13 | -0.09 | 6% | 22 Feb → | |
| inferno | 13–5 | 0.04 | 7% | 22 Feb → | |
| inferno | 13–1 | -0.03 | 0% | 20 Feb → | |
| inferno | 12–12 | -0.04 | 24% | 20 Feb → | |
| nuke | 6–13 | -0.07 | 8% | 20 Feb → |
Match data via Leetify.