iNcizzle — CS2 Stats
CA76561199129355874[U:1:1169090146]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 34 | 18–16 | 53% | 0.02 | |
| A | 30 | 18–12 | 60% | 0.03 | |
| C | 12 | 5–7 | 42% | 0.06 | |
| S | 7 | 6–1 | 86% | 0.04 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
| alpine | — | 1 | 0–1 | 0% | 0.00 |
| — | 1 | 1–0 | 100% | 0.06 |
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 64% | 1.50 | 17.4 |
| Dust2 | 10 | 60% | 1.45 | 19.1 |
| Ancient | 4 | 50% | 1.50 | 17.5 |
| Nuke | 3 | 33% | 0.98 | 17.0 |
| Inferno | 2 | 50% | 1.03 | 15.0 |
| Anubis | 2 | 0% | 1.28 | 22.5 |
| Cache | 1 | 100% | 1.69 | 22.0 |
| Overpass | 1 | 0% | 1.42 | 27.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.02 | 11% | 13 Aug → | ||
| 13–8 | 0.04 | 19% | 1 Aug → | ||
| 13–7 | 0.13 | 13% | 1 Aug → | ||
| 13–7 | 0.18 | 20% | 26 Jul → | ||
| 11–13 | -0.07 | 20% | 26 Jul → | ||
| 13–10 | 0.04 | 28% | 23 Jul → | ||
| 13–4 | 0.12 | 17% | 23 Jul → | ||
| 10–13 | 0.02 | 16% | 22 Jul → | ||
| 13–4 | 0.10 | 23% | 22 Jul → | ||
| 9–13 | 0.04 | 13% | 20 Jul → | ||
| 13–5 | 0.02 | 14% | 12 Jul → | ||
| 13–9 | 0.08 | 14% | 11 Jul → | ||
| shelter | 13–9 | 0.01 | 12% | 10 Jul → | |
| 13–9 | -0.02 | 17% | 10 Jul → | ||
| 13–5 | 0.05 | 14% | 10 Jul → | ||
| 1–13 | -0.05 | 100% | 10 Jul → | ||
| 13–9 | 0.10 | 21% | 10 Jul → | ||
| 13–4 | -0.01 | 19% | 8 Jul → | ||
| 2–3 | 0.08 | 8% | 8 Jul → | ||
| alpine | 6–13 | 0.00 | 11% | 5 Jul → | |
| 11–13 | 0.09 | 15% | 5 Jul → | ||
| 16–14 | 0.07 | 20% | 5 Jul → | ||
| 13–7 | 0.06 | 14% | 1 Jul → | ||
| 13–9 | 0.04 | 30% | 1 Jul → | ||
| 7–13 | 0.01 | 32% | 1 Jul → | ||
| 7–13 | -0.08 | 7% | 28 Jun → | ||
| 7–13 | -0.02 | 15% | 27 Jun → | ||
| 13–10 | 0.01 | 20% | 27 Jun → | ||
| 8–13 | 0.03 | 14% | 26 Jun → | ||
| 11–13 | -0.05 | 11% | 22 Jun → | ||
| 12–12 | 0.04 | 14% | 20 Jun → | ||
| 8–13 | 0.05 | 20% | 20 Jun → | ||
| 5–13 | 0.01 | 18% | 14 Jun → | ||
| 7–13 | 0.10 | 9% | 14 Jun → | ||
| 13–6 | -0.02 | 13% | 14 Jun → | ||
| 12–12 | -0.00 | 22% | 12 Jun → | ||
| 13–9 | -0.01 | 9% | 30 May → | ||
| 7–13 | -0.07 | 17% | 30 May → | ||
| 6–13 | -0.07 | 20% | 29 May → | ||
| 10–13 | -0.03 | 13% | 28 May → | ||
| 13–10 | -0.02 | 7% | 27 May → | ||
| 13–8 | 0.01 | 6% | 27 May → | ||
| 13–10 | -0.01 | 9% | 27 May → | ||
| 6–13 | -0.02 | 39% | 26 May → | ||
| 4–13 | -0.01 | 21% | 26 May → | ||
| 13–11 | 0.08 | 15% | 26 May → | ||
| 13–6 | -0.03 | 17% | 22 May → | ||
| 13–6 | 0.08 | 17% | 22 May → | ||
| 2–6 | 0.06 | 33% | 22 May → | ||
| 13–7 | 0.02 | 16% | 21 May → | ||
| 13–10 | 0.00 | 5% | 21 May → | ||
| 13–5 | 0.03 | 13% | 18 May → | ||
| 13–11 | 0.03 | 32% | 18 May → | ||
| 11–13 | -0.06 | 10% | 14 May → | ||
| 13–10 | 0.08 | 14% | 14 May → | ||
| 4–13 | -0.05 | 15% | 14 May → | ||
| 7–13 | 0.01 | 14% | 14 May → | ||
| 9–13 | 0.00 | 15% | 14 May → | ||
| 12–16 | -0.01 | 9% | 9 May → | ||
| 13–3 | 0.07 | 15% | 9 May → | ||
| 7–13 | 0.03 | 14% | 7 May → | ||
| 13–6 | 0.06 | 14% | 7 May → | ||
| 13–4 | -0.02 | 20% | 6 May → | ||
| 13–0 | 0.12 | 34% | 6 May → | ||
| 16–12 | -0.03 | 5% | 6 May → | ||
| 13–11 | 0.06 | 16% | 4 May → | ||
| 7–13 | -0.07 | 18% | 4 May → | ||
| 11–13 | 0.10 | 17% | 3 May → | ||
| 1–13 | -0.01 | 31% | 3 May → | ||
| 12–12 | 0.13 | 15% | 3 May → | ||
| 11–13 | -0.06 | 23% | 2 May → | ||
| 13–10 | 0.02 | 18% | 30 Apr → | ||
| 13–4 | 0.11 | 19% | 30 Apr → | ||
| 12–12 | 0.02 | 28% | 29 Apr → | ||
| 12–16 | -0.04 | 15% | 29 Apr → | ||
| 0–13 | -0.05 | 7% | 27 Apr → | ||
| 13–5 | 0.04 | 25% | 27 Apr → | ||
| 13–4 | 0.14 | 19% | 27 Apr → | ||
| 8–13 | -0.00 | 14% | 26 Apr → | ||
| 13–5 | 0.03 | 13% | 26 Apr → | ||
| 7–13 | 0.04 | 24% | 26 Apr → | ||
| 13–10 | 0.02 | 15% | 26 Apr → | ||
| 13–5 | 0.10 | 22% | 26 Apr → | ||
| 4–13 | -0.03 | 20% | 25 Apr → | ||
| 13–7 | 0.06 | 12% | 25 Apr → | ||
| 13–4 | 0.08 | 21% | 25 Apr → | ||
| 8–13 | -0.02 | 18% | 24 Apr → | ||
| 13–5 | 0.09 | 33% | 24 Apr → | ||
| 13–0 | 0.25 | 13% | 23 Apr → | ||
| 13–7 | -0.07 | 22% | 23 Apr → | ||
| 13–11 | 0.06 | 23% | 23 Apr → | ||
| 13–6 | 0.02 | 23% | 23 Apr → | ||
| 13–1 | 0.08 | 32% | 23 Apr → | ||
| 6–13 | -0.05 | 6% | 23 Apr → | ||
| 7–13 | 0.00 | 17% | 23 Apr → | ||
| 13–11 | 0.01 | 15% | 22 Apr → | ||
| 9–13 | 0.00 | 17% | 22 Apr → | ||
| 15–15 | 0.11 | 18% | 22 Apr → | ||
| 13–10 | 0.05 | 21% | 22 Apr → | ||
| 13–6 | 0.06 | 11% | 17 Apr → |
Match data via Leetify.