jigslaw — CS2 Stats
US76561198309321266[U:1:349055538]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 41.0% | 47.2% | 49.9% | 8.9% short |
| Shot accuracy | 14.9% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.01 | 1.09 | 1.12 | 0.11 short |
| Match win rate | 32.6% | 46.6% | 48.4% | 15.8% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Red 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: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 550ms 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 32 | 15–17 | 47% | 0.00 | |
| D | 21 | 7–14 | 33% | 0.01 | |
| A | 21 | 12–9 | 57% | 0.04 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| S | 6 | 6–0 | 100% | 0.03 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 249 | 54% | 1.21 | 17.6 |
| Anubis | 107 | 60% | 1.25 | 17.8 |
| Dust2 | 89 | 45% | 1.07 | 16.8 |
| Ancient | 89 | 45% | 1.11 | 17.9 |
| Inferno | 44 | 43% | 1.00 | 15.2 |
| Vertigo | 42 | 57% | 1.32 | 19.0 |
| Nuke | 29 | 48% | 0.98 | 15.6 |
| Train | 21 | 57% | 1.18 | 16.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 35.6832% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.00 | 23% | 25 Aug → | ||
| 5–13 | -0.09 | 24% | 25 Aug → | ||
| 13–5 | -0.02 | 8% | 25 Aug → | ||
| 7–13 | 0.03 | 27% | 25 Aug → | ||
| 13–3 | 0.05 | 15% | 25 Aug → | ||
| 13–7 | -0.01 | 10% | 25 Aug → | ||
| 16–13 | 0.07 | 13% | 25 Aug → | ||
| 6–13 | -0.03 | 7% | 25 Aug → | ||
| 13–2 | 0.07 | 20% | 25 Aug → | ||
| 11–13 | -0.04 | 13% | 19 Aug → | ||
| 13–8 | 0.02 | 18% | 19 Aug → | ||
| 13–11 | 0.01 | 14% | 19 Aug → | ||
| 9–13 | 0.02 | 15% | 19 Aug → | ||
| 13–5 | 0.05 | 16% | 18 Aug → | ||
| 13–9 | 0.04 | 14% | 18 Aug → | ||
| 2–13 | -0.08 | 19% | 18 Aug → | ||
| 8–13 | -0.08 | 18% | 17 Aug → | ||
| 15–15 | 0.01 | 20% | 17 Aug → | ||
| 13–9 | 0.01 | 11% | 17 Aug → | ||
| 5–13 | 0.01 | 19% | 17 Aug → | ||
| 4–13 | -0.02 | 9% | 17 Aug → | ||
| 13–10 | 0.07 | 16% | 17 Aug → | ||
| 13–4 | -0.00 | 20% | 17 Aug → | ||
| 9–13 | -0.03 | 14% | 16 Aug → | ||
| 13–10 | -0.01 | 19% | 16 Aug → | ||
| 13–10 | 0.03 | 25% | 16 Aug → | ||
| 13–6 | -0.00 | 15% | 16 Aug → | ||
| 13–7 | -0.03 | 12% | 16 Aug → | ||
| 13–2 | 0.01 | 13% | 16 Aug → | ||
| 13–3 | 0.05 | 19% | 16 Aug → | ||
| 13–11 | 0.01 | 15% | 16 Aug → | ||
| 13–3 | 0.08 | 28% | 16 Aug → | ||
| 13–6 | -0.02 | 13% | 16 Aug → | ||
| 13–8 | 0.04 | 32% | 15 Aug → | ||
| 13–8 | 0.00 | 26% | 15 Aug → | ||
| 5–13 | -0.07 | 16% | 15 Aug → | ||
| 13–2 | 0.07 | 19% | 15 Aug → | ||
| 13–4 | 0.10 | 23% | 15 Aug → | ||
| 13–11 | 0.00 | 17% | 11 Aug → | ||
| 9–13 | -0.01 | 22% | 11 Aug → | ||
| 6–13 | 0.00 | 20% | 11 Aug → | ||
| 13–2 | 0.00 | 28% | 11 Aug → | ||
| 3–13 | -0.04 | 27% | 11 Aug → | ||
| 6–13 | 0.01 | 29% | 4 Aug → | ||
| 13–5 | 0.01 | 9% | 4 Aug → | ||
| 6–13 | -0.02 | 9% | 21 Jul → | ||
| 10–13 | 0.02 | 14% | 21 Jul → | ||
| 6–13 | 0.00 | 11% | 21 Jul → | ||
| 9–0 | 0.24 | 39% | 21 Jul → | ||
| 13–16 | 0.01 | 45% | 18 Jul → | ||
| 13–11 | -0.01 | 21% | 17 Jul → | ||
| 11–13 | -0.02 | 26% | 17 Jul → | ||
| 10–13 | -0.03 | 52% | 17 Jul → | ||
| 10–13 | 0.07 | 28% | 17 Jul → | ||
| 13–11 | 0.09 | 15% | 16 Jul → | ||
| 6–13 | -0.01 | 27% | 16 Jul → | ||
| 17–19 | -0.04 | 16% | 15 Jul → | ||
| 13–6 | -0.02 | 11% | 14 Jul → | ||
| 13–10 | -0.02 | 13% | 14 Jul → | ||
| 10–13 | 0.02 | 17% | 14 Jul → | ||
| 17–19 | 0.02 | 13% | 14 Jul → | ||
| 4–13 | -0.06 | 29% | 14 Jul → | ||
| 13–8 | 0.01 | 17% | 14 Jul → | ||
| 13–11 | 0.02 | 13% | 14 Jul → | ||
| 9–13 | 0.07 | 24% | 14 Jul → | ||
| 13–7 | 0.06 | 23% | 14 Jul → | ||
| 13–9 | 0.02 | 5% | 14 Jul → | ||
| 13–9 | -0.06 | 10% | 14 Jul → | ||
| 16–13 | 0.06 | 10% | 13 Jul → | ||
| 8–13 | -0.00 | 12% | 13 Jul → | ||
| 11–13 | 0.02 | 14% | 13 Jul → | ||
| 6–13 | -0.07 | 9% | 13 Jul → | ||
| 11–13 | 0.01 | 27% | 13 Jul → | ||
| 7–13 | 0.05 | 15% | 13 Jul → | ||
| 6–13 | -0.04 | 7% | 12 Jul → | ||
| 8–13 | -0.07 | 11% | 12 Jul → | ||
| 13–9 | 0.03 | 15% | 12 Jul → | ||
| 9–13 | 0.08 | 33% | 2 Jul → | ||
| 2–6 | 0.04 | 23% | 2 Jul → | ||
| 13–3 | -0.02 | 15% | 30 Jun → | ||
| 13–16 | 0.03 | 23% | 30 Jun → | ||
| 12–16 | -0.03 | 9% | 24 Jun → | ||
| 3–13 | 0.03 | 31% | 18 Jun → | ||
| 13–4 | 0.09 | 23% | 18 Jun → | ||
| 11–13 | -0.04 | 17% | 10 Jun → | ||
| 9–13 | 0.04 | 20% | 13 May → | ||
| 13–9 | 0.00 | 15% | 13 May → | ||
| 13–4 | 0.06 | 32% | 13 May → | ||
| 9–13 | 0.06 | 23% | 12 May → | ||
| 6–13 | -0.03 | 21% | 12 May → | ||
| 14–16 | 0.03 | 22% | 11 May → | ||
| 13–4 | 0.10 | 15% | 11 May → | ||
| 6–13 | -0.03 | 33% | 11 May → | ||
| 2–13 | -0.04 | 11% | 6 May → | ||
| 10–13 | -0.00 | 12% | 6 May → | ||
| 11–13 | -0.03 | 20% | 30 Apr → | ||
| 8–13 | 0.03 | 18% | 30 Apr → | ||
| 9–13 | -0.01 | 19% | 30 Apr → | ||
| 13–9 | -0.02 | 13% | 28 Apr → | ||
| 13–6 | 0.02 | 20% | 28 Apr → |
Match data via Leetify.