Bard — CS2 Stats
76561198032081083[U:1:71815355]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.06 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 87% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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. 666ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 15 | 5–10 | 33% | -0.01 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| D | 12 | 2–10 | 17% | 0.01 | |
| A | 11 | 7–4 | 64% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.00 | |
| office | C | 8 | 3–5 | 38% | -0.00 |
| S | 7 | 5–2 | 71% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| shelter | — | 1 | 1–0 | 100% | -0.02 |
| warden | — | 1 | 1–0 | 100% | 0.18 |
| alpine | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
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.
- 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 14.4825% — below the 15% 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 30.1145% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 15% | 18 Aug → | ||
| 13–7 | 0.15 | 18% | 18 Aug → | ||
| 13–1 | 0.12 | 19% | 18 Aug → | ||
| 13–11 | 0.02 | 17% | 10 Aug → | ||
| 10–13 | -0.04 | 11% | 12 Jul → | ||
| shelter | 13–7 | -0.02 | 12% | 11 Jul → | |
| 13–1 | 0.08 | 8% | 10 Jul → | ||
| 16–12 | 0.04 | 22% | 24 Jun → | ||
| 9–13 | 0.03 | 13% | 24 Jun → | ||
| 15–15 | 0.02 | 12% | 18 Jun → | ||
| 9–13 | 0.02 | 10% | 18 Jun → | ||
| office | 10–13 | -0.06 | 7% | 18 Jun → | |
| 13–11 | 0.09 | 12% | 18 Jun → | ||
| 11–3 | 0.03 | 10% | 18 Jun → | ||
| office | 5–13 | -0.05 | 12% | 6 Jun → | |
| 5–13 | -0.02 | 15% | 6 Jun → | ||
| 4–13 | -0.04 | 13% | 5 Jun → | ||
| 13–9 | 0.02 | 16% | 2 Jun → | ||
| 6–13 | -0.06 | 14% | 2 Jun → | ||
| 10–13 | -0.06 | 17% | 2 Jun → | ||
| 4–13 | -0.04 | 29% | 2 Jun → | ||
| 6–13 | 0.01 | 20% | 30 May → | ||
| 8–13 | -0.07 | 5% | 30 May → | ||
| 13–6 | 0.16 | 21% | 30 May → | ||
| 6–13 | 0.07 | 21% | 30 May → | ||
| 3–13 | 0.09 | 22% | 29 May → | ||
| 4–13 | 0.04 | 10% | 29 May → | ||
| office | 13–9 | 0.04 | 10% | 28 May → | |
| 13–7 | -0.02 | 16% | 28 May → | ||
| 12–12 | -0.01 | 11% | 27 May → | ||
| 6–13 | -0.06 | 13% | 27 May → | ||
| 13–16 | 0.01 | 16% | 25 May → | ||
| 6–13 | -0.01 | 20% | 25 May → | ||
| 11–13 | 0.08 | 15% | 25 May → | ||
| 8–13 | -0.02 | 16% | 25 May → | ||
| 13–9 | -0.01 | 19% | 24 May → | ||
| warden | 13–7 | 0.18 | 15% | 24 May → | |
| office | 8–13 | 0.03 | 25% | 24 May → | |
| 11–13 | 0.04 | 32% | 24 May → | ||
| 13–2 | 0.10 | 16% | 24 May → | ||
| 10–13 | -0.03 | 13% | 23 May → | ||
| 8–13 | -0.05 | 20% | 23 May → | ||
| 5–9 | -0.06 | 20% | 23 May → | ||
| 5–13 | 0.01 | 21% | 23 May → | ||
| alpine | 10–13 | 0.00 | 25% | 22 May → | |
| 8–13 | 0.00 | 14% | 22 May → | ||
| 16–12 | -0.05 | 22% | 21 May → | ||
| 13–9 | 0.05 | 16% | 17 May → | ||
| 13–10 | 0.01 | 24% | 17 May → | ||
| office | 13–2 | 0.07 | 14% | 16 May → | |
| 13–7 | 0.06 | 26% | 16 May → | ||
| 13–11 | 0.03 | 18% | 16 May → | ||
| 13–2 | 0.08 | 19% | 16 May → | ||
| 9–13 | 0.02 | 14% | 14 May → | ||
| 13–5 | 0.01 | 17% | 14 May → | ||
| 5–2 | 0.12 | 25% | 14 May → | ||
| 13–16 | 0.00 | 15% | 13 May → | ||
| 6–13 | -0.04 | 22% | 13 May → | ||
| 5–13 | -0.00 | 28% | 13 May → | ||
| 6–9 | -0.06 | 16% | 12 May → | ||
| 13–10 | -0.03 | 16% | 12 May → | ||
| 13–3 | -0.01 | 19% | 12 May → | ||
| 13–11 | 0.05 | 25% | 12 May → | ||
| 3–13 | -0.06 | 12% | 12 May → | ||
| 13–6 | 0.05 | 17% | 11 May → | ||
| 8–8 | 0.12 | 14% | 10 May → | ||
| 2–9 | -0.16 | 15% | 10 May → | ||
| 13–3 | 0.01 | 15% | 10 May → | ||
| 7–13 | -0.07 | 16% | 10 May → | ||
| 4–13 | 0.03 | 11% | 10 May → | ||
| 13–7 | 0.03 | 12% | 10 May → | ||
| 13–8 | -0.03 | 22% | 10 May → | ||
| 13–2 | 0.17 | 16% | 9 May → | ||
| 8–13 | 0.11 | 20% | 9 May → | ||
| 10–13 | -0.01 | 7% | 9 May → | ||
| 11–13 | -0.03 | 12% | 9 May → | ||
| 3–13 | 0.01 | 14% | 8 May → | ||
| 9–13 | -0.04 | 20% | 8 May → | ||
| office | 12–12 | -0.04 | 16% | 8 May → | |
| 13–4 | 0.01 | 16% | 8 May → | ||
| 3–13 | -0.06 | 16% | 7 May → | ||
| 13–8 | 0.08 | 17% | 7 May → | ||
| office | 12–12 | -0.02 | 11% | 6 May → | |
| 12–16 | -0.04 | 6% | 6 May → | ||
| 13–9 | 0.09 | 13% | 5 May → | ||
| 16–13 | 0.03 | 18% | 5 May → | ||
| office | 13–8 | 0.01 | 16% | 5 May → | |
| 13–3 | 0.07 | 10% | 5 May → | ||
| 13–3 | 0.12 | 21% | 4 May → | ||
| 13–7 | -0.02 | 8% | 3 May → | ||
| 9–13 | -0.09 | 7% | 2 May → | ||
| 13–5 | -0.00 | 19% | 2 May → | ||
| 4–13 | -0.01 | 26% | 2 May → | ||
| 13–9 | -0.06 | 13% | 2 May → | ||
| 3–13 | -0.08 | 5% | 2 May → | ||
| 2–13 | 0.00 | 15% | 1 May → | ||
| 8–13 | -0.07 | 11% | 1 May → | ||
| 12–12 | 0.02 | 12% | 1 May → | ||
| 6–13 | -0.04 | 12% | 1 May → | ||
| 2–13 | -0.04 | 26% | 1 May → |
Match data via Leetify.
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