Sword Pilgrim — CS2 Stats
76561198978028594[U:1:1017762866]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited 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 NiKo 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 604ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | -0.00 | |
| A | 20 | 11–9 | 55% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| office | S | 9 | 7–2 | 78% | 0.04 |
| D | 6 | 2–4 | 33% | -0.01 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| fachwerk | — | 1 | 0–1 | 0% | 0.03 |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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 25.3198% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | -0.03 | 7% | 25 Aug → | ||
| 13–9 | -0.05 | 13% | 25 Aug → | ||
| 2–13 | -0.04 | 36% | 25 Aug → | ||
| 13–4 | 0.01 | 22% | 25 Aug → | ||
| 13–6 | 0.05 | 26% | 19 Aug → | ||
| office | 13–3 | -0.00 | 37% | 19 Aug → | |
| 3–13 | -0.07 | 10% | 19 Aug → | ||
| 12–12 | -0.08 | 13% | 18 Aug → | ||
| fachwerk | 12–12 | 0.03 | 12% | 18 Aug → | |
| office | 13–4 | 0.08 | 26% | 13 Aug → | |
| 12–12 | 0.01 | 13% | 13 Aug → | ||
| 3–13 | 0.03 | 11% | 13 Aug → | ||
| 13–9 | 0.06 | 23% | 13 Aug → | ||
| office | 13–4 | 0.01 | 15% | 7 Aug → | |
| 13–4 | 0.15 | 22% | 1 Aug → | ||
| 7–13 | -0.01 | 11% | 1 Aug → | ||
| 12–12 | -0.06 | 11% | 30 Jul → | ||
| 13–6 | 0.00 | 17% | 30 Jul → | ||
| office | 7–13 | -0.05 | 16% | 30 Jul → | |
| office | 13–3 | 0.14 | 31% | 24 Jul → | |
| 7–13 | -0.02 | 21% | 24 Jul → | ||
| 3–13 | -0.07 | 27% | 24 Jul → | ||
| 7–13 | -0.06 | 15% | 24 Jul → | ||
| 9–13 | -0.04 | 13% | 24 Jul → | ||
| 11–13 | -0.06 | 10% | 20 Jul → | ||
| 13–4 | 0.03 | 17% | 20 Jul → | ||
| 9–13 | -0.00 | 13% | 17 Jul → | ||
| 13–9 | 0.02 | 13% | 14 Jul → | ||
| 13–4 | 0.02 | 18% | 14 Jul → | ||
| 7–13 | -0.06 | 15% | 9 Jul → | ||
| 13–6 | -0.03 | 18% | 8 Jul → | ||
| 13–8 | -0.02 | 18% | 1 Jul → | ||
| 13–6 | 0.07 | 21% | 25 Jun → | ||
| 7–13 | -0.09 | 17% | 25 Jun → | ||
| 8–13 | -0.05 | 6% | 18 Jun → | ||
| 13–11 | 0.04 | 12% | 12 Jun → | ||
| 13–1 | 0.05 | 10% | 10 Jun → | ||
| 6–13 | 0.00 | 19% | 10 Jun → | ||
| 13–7 | -0.01 | 37% | 5 Jun → | ||
| 13–3 | 0.04 | 18% | 5 Jun → | ||
| 4–13 | -0.01 | 18% | 5 Jun → | ||
| 13–6 | 0.02 | 18% | 5 Jun → | ||
| 13–6 | 0.01 | 16% | 2 Jun → | ||
| 13–6 | -0.04 | 9% | 2 Jun → | ||
| 13–6 | 0.02 | 20% | 2 Jun → | ||
| 13–8 | -0.01 | 20% | 31 May → | ||
| 0–13 | -0.06 | 0% | 31 May → | ||
| 13–5 | 0.06 | 18% | 28 May → | ||
| office | 13–4 | 0.12 | 20% | 28 May → | |
| 9–13 | 0.05 | 29% | 22 May → | ||
| 8–13 | -0.06 | 16% | 20 May → | ||
| office | 13–4 | 0.01 | 22% | 13 May → | |
| 13–10 | -0.00 | 17% | 13 May → | ||
| 13–7 | 0.06 | 22% | 7 May → | ||
| 13–7 | 0.07 | 19% | 7 May → | ||
| 11–13 | 0.01 | 16% | 6 May → | ||
| 13–7 | 0.00 | 21% | 29 Apr → | ||
| 13–5 | 0.04 | 23% | 29 Apr → | ||
| 13–11 | 0.01 | 13% | 29 Apr → | ||
| 13–7 | 0.02 | 27% | 28 Apr → | ||
| 3–13 | -0.10 | 6% | 28 Apr → | ||
| 13–4 | 0.12 | 23% | 28 Apr → | ||
| 13–5 | 0.02 | 24% | 28 Apr → | ||
| 13–4 | 0.12 | 27% | 28 Apr → | ||
| 13–8 | 0.00 | 30% | 26 Apr → | ||
| office | 12–12 | 0.03 | 34% | 26 Apr → | |
| 0–2 | -0.05 | 0% | 26 Apr → | ||
| 1–6 | 0.01 | 12% | 26 Apr → | ||
| 13–6 | 0.04 | 21% | 26 Apr → | ||
| 12–12 | 0.01 | 28% | 26 Apr → | ||
| 13–8 | 0.03 | 34% | 23 Apr → | ||
| 5–13 | -0.02 | 14% | 22 Apr → | ||
| 13–6 | -0.03 | 15% | 22 Apr → | ||
| 11–13 | 0.08 | 17% | 22 Apr → | ||
| 13–9 | 0.06 | 27% | 21 Apr → | ||
| 13–6 | -0.03 | 12% | 20 Apr → | ||
| 13–3 | 0.09 | 29% | 20 Apr → | ||
| 5–13 | -0.08 | 3% | 20 Apr → | ||
| 11–13 | 0.04 | 14% | 18 Apr → | ||
| 3–13 | 0.03 | 18% | 18 Apr → | ||
| 13–2 | -0.01 | 20% | 18 Apr → | ||
| 13–11 | 0.11 | 12% | 18 Apr → | ||
| 12–12 | 0.07 | 16% | 16 Apr → | ||
| 13–5 | 0.03 | 27% | 15 Apr → | ||
| 13–7 | 0.02 | 17% | 15 Apr → | ||
| 12–12 | -0.09 | 14% | 13 Apr → | ||
| 13–4 | 0.12 | 9% | 13 Apr → | ||
| office | 13–2 | -0.01 | 75% | 3 Apr → | |
| 6–13 | 0.06 | 31% | 3 Apr → | ||
| 13–0 | -0.02 | 100% | 3 Apr → | ||
| 13–11 | 0.02 | 40% | 3 Apr → | ||
| 7–13 | 0.01 | 16% | 3 Apr → | ||
| 13–9 | 0.04 | 18% | 2 Apr → | ||
| 13–9 | 0.06 | 20% | 2 Apr → | ||
| 13–9 | -0.06 | 11% | 2 Apr → | ||
| 0–13 | -0.05 | 20% | 31 Mar → | ||
| 0–13 | -0.09 | 25% | 31 Mar → | ||
| 8–13 | -0.10 | 0% | 31 Mar → | ||
| 13–2 | 0.03 | 100% | 31 Mar → | ||
| 9–13 | -0.02 | 67% | 26 Mar → |
Match data via Leetify.
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