Leftie — CS2 Stats
76561199842623282[U:1:1882357554]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 48.5% | 41.7% | 44.1% | above |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 0.93 | 0.97 | 1.03 | 0.10 short |
| Match win rate | 53.6% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +20pp win rate · +0.07 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
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 83% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 671ms 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 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 | 30 | 18–12 | 60% | 0.02 | |
| S | 20 | 14–6 | 70% | 0.02 | |
| S | 17 | 11–6 | 65% | 0.04 | |
| D | 12 | 4–8 | 33% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.01 |
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.
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 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 22.5568% — 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 | |
|---|---|---|---|---|---|
| 13–5 | 0.16 | 19% | 6 Apr → | ||
| 13–7 | 0.13 | 22% | 21 Mar → | ||
| 13–4 | 0.09 | 15% | 21 Mar → | ||
| 13–2 | 0.08 | 23% | 21 Mar → | ||
| 13–7 | 0.10 | 16% | 21 Mar → | ||
| 9–13 | -0.01 | 22% | 21 Mar → | ||
| 7–13 | 0.07 | 15% | 21 Mar → | ||
| 13–6 | 0.07 | 16% | 21 Mar → | ||
| 16–12 | 0.02 | 14% | 21 Mar → | ||
| 13–11 | -0.02 | 26% | 20 Mar → | ||
| 13–11 | 0.07 | 15% | 23 Feb → | ||
| 13–9 | 0.05 | 8% | 14 Feb → | ||
| 8–13 | 0.02 | 11% | 14 Feb → | ||
| 6–13 | -0.03 | 15% | 8 Feb → | ||
| 13–4 | 0.06 | 20% | 8 Feb → | ||
| 13–7 | -0.02 | 10% | 8 Feb → | ||
| 13–5 | -0.03 | 15% | 7 Feb → | ||
| 2–13 | -0.11 | 7% | 1 Feb → | ||
| 4–13 | -0.08 | 19% | 1 Feb → | ||
| 13–11 | -0.01 | 18% | 4 Jan → | ||
| 2–13 | -0.02 | 18% | 4 Jan → | ||
| 13–3 | 0.04 | 23% | 31 Dec → | ||
| 7–2 | 0.04 | 24% | 31 Dec → | ||
| 13–2 | 0.04 | 26% | 31 Dec → | ||
| 13–9 | 0.03 | 35% | 31 Dec → | ||
| 13–4 | -0.00 | 28% | 23 Dec → | ||
| 4–13 | 0.03 | 20% | 8 Dec → | ||
| 13–5 | 0.09 | 17% | 8 Dec → | ||
| 4–13 | -0.06 | 30% | 8 Dec → | ||
| 13–2 | 0.28 | 15% | 8 Dec → | ||
| 10–13 | 0.07 | 18% | 8 Dec → | ||
| 15–15 | 0.13 | 17% | 7 Dec → | ||
| 13–3 | 0.09 | 14% | 7 Dec → | ||
| 13–3 | 0.10 | 16% | 7 Dec → | ||
| 7–13 | 0.06 | 20% | 7 Dec → | ||
| 13–9 | 0.10 | 23% | 28 Nov → | ||
| 13–9 | 0.12 | 17% | 28 Nov → | ||
| 13–3 | 0.05 | 12% | 28 Nov → | ||
| 4–13 | 0.04 | 25% | 16 Nov → | ||
| 13–7 | 0.06 | 16% | 6 Nov → | ||
| 13–8 | 0.03 | 17% | 3 Nov → | ||
| 13–4 | 0.00 | 24% | 3 Nov → | ||
| 13–11 | -0.04 | 8% | 3 Nov → | ||
| 7–13 | 0.08 | 25% | 2 Nov → | ||
| 10–13 | 0.02 | 22% | 2 Nov → | ||
| 13–6 | 0.20 | 21% | 2 Nov → | ||
| 5–13 | -0.12 | 20% | 30 Oct → | ||
| 13–5 | -0.02 | 26% | 30 Oct → | ||
| 13–6 | 0.17 | 23% | 30 Oct → | ||
| 13–1 | 0.07 | 50% | 25 Oct → | ||
| 13–9 | 0.05 | 22% | 25 Oct → | ||
| 13–4 | 0.05 | 52% | 25 Oct → | ||
| 13–5 | 0.07 | 10% | 25 Oct → | ||
| 7–13 | -0.01 | 29% | 20 Oct → | ||
| 16–13 | 0.10 | 19% | 20 Oct → | ||
| 10–13 | 0.06 | 9% | 20 Oct → | ||
| 13–7 | 0.19 | 25% | 20 Oct → | ||
| 7–13 | -0.05 | 25% | 20 Oct → | ||
| 4–13 | -0.01 | 19% | 20 Oct → | ||
| 15–15 | -0.05 | 12% | 13 Oct → | ||
| 13–6 | 0.20 | 11% | 13 Oct → | ||
| 6–13 | -0.00 | 19% | 13 Oct → | ||
| 13–3 | 0.08 | 12% | 13 Oct → | ||
| 13–8 | -0.02 | 20% | 10 Oct → | ||
| 13–5 | -0.10 | 31% | 7 Oct → | ||
| 13–4 | 0.01 | 11% | 7 Oct → | ||
| 13–6 | -0.03 | 6% | 7 Oct → | ||
| 13–4 | -0.01 | 15% | 6 Oct → | ||
| 13–8 | 0.01 | 15% | 6 Oct → | ||
| 7–13 | -0.11 | 12% | 6 Oct → | ||
| 2–13 | -0.03 | 19% | 6 Oct → | ||
| 10–13 | 0.04 | 23% | 20 Sept → | ||
| 13–16 | 0.04 | 20% | 17 Sept → | ||
| 0–7 | -0.14 | 20% | 5 Sept → | ||
| 13–8 | -0.04 | 4% | 5 Sept → | ||
| 13–5 | -0.01 | 15% | 5 Sept → | ||
| 13–5 | 0.21 | 48% | 3 Sept → | ||
| 13–11 | 0.08 | 30% | 3 Sept → | ||
| 13–2 | -0.02 | 19% | 31 Aug → | ||
| 5–13 | -0.07 | 20% | 31 Aug → | ||
| 2–8 | -0.09 | 8% | 24 Aug → | ||
| 13–6 | 0.00 | 27% | 24 Aug → | ||
| 11–13 | 0.00 | 17% | 23 Aug → | ||
| 13–6 | 0.01 | 17% | 23 Aug → | ||
| 10–13 | -0.04 | 26% | 22 Aug → | ||
| 8–13 | -0.04 | 21% | 22 Aug → | ||
| 4–13 | -0.09 | 12% | 8 Aug → | ||
| 15–15 | -0.05 | 8% | 8 Aug → | ||
| 11–13 | -0.03 | 9% | 8 Aug → | ||
| 5–13 | -0.06 | 15% | 8 Aug → | ||
| 16–14 | -0.01 | 7% | 7 Aug → | ||
| 4–13 | -0.05 | 10% | 6 Aug → | ||
| 4–13 | 0.00 | 21% | 6 Aug → | ||
| 13–10 | -0.02 | 26% | 6 Aug → | ||
| 13–7 | -0.06 | 31% | 30 Jul → | ||
| 13–3 | 0.19 | 33% | 28 Jul → | ||
| 10–13 | -0.01 | 28% | 28 Jul → | ||
| 9–13 | 0.01 | 33% | 27 Jul → | ||
| 10–13 | 0.05 | 20% | 27 Jul → | ||
| 2–13 | -0.10 | 7% | 27 Jul → |
Match data via Leetify.