IDWizzi — CS2 Stats
76561198087318775[U:1:127053047]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 591ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 13–12 | 52% | 0.03 | |
| C | 24 | 9–15 | 38% | -0.00 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| debris | B | 8 | 4–4 | 50% | 0.04 |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| fachwerk | — | 2 | 1–1 | 50% | 0.01 |
| boulder | — | 2 | 1–1 | 50% | 0.07 |
| shelter | — | 2 | 0–2 | 0% | -0.05 |
| — | 2 | 0–2 | 0% | 0.06 | |
| poseidon | — | 1 | 0–1 | 0% | 0.14 |
| warden | — | 1 | 1–0 | 100% | 0.07 |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 65 | 49% | 1.25 | 18.6 |
| Inferno | 47 | 68% | 1.25 | 16.8 |
| Nuke | 43 | 60% | 1.30 | 18.3 |
| Mirage | 20 | 50% | 1.17 | 16.9 |
| Cache | 17 | 35% | 1.16 | 17.1 |
| Overpass | 14 | 71% | 1.68 | 19.4 |
| Anubis | 12 | 50% | 1.18 | 16.7 |
| Vertigo | 5 | 80% | 1.81 | 27.4 |
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.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.02 | 26% | 16 Aug → | ||
| debris | 6–9 | 0.05 | 20% | 16 Aug → | |
| 9–7 | 0.11 | 29% | 13 Aug → | ||
| poseidon | 8–8 | 0.14 | 24% | 13 Aug → | |
| debris | 9–0 | 0.15 | 29% | 3 Aug → | |
| 8–13 | 0.02 | 10% | 2 Aug → | ||
| debris | 9–6 | 0.01 | 14% | 18 Jul → | |
| 3–9 | -0.04 | 27% | 18 Jul → | ||
| fachwerk | 13–5 | 0.07 | 30% | 17 Jul → | |
| 11–13 | -0.08 | 19% | 15 Jul → | ||
| boulder | 13–11 | 0.06 | 14% | 12 Jul → | |
| fachwerk | 4–13 | -0.05 | 29% | 12 Jul → | |
| shelter | 11–13 | 0.00 | 34% | 12 Jul → | |
| debris | 9–3 | 0.15 | 27% | 11 Jul → | |
| debris | 8–8 | 0.04 | 12% | 11 Jul → | |
| 7–9 | 0.04 | 19% | 11 Jul → | ||
| debris | 5–9 | -0.11 | 29% | 11 Jul → | |
| debris | 9–7 | 0.10 | 19% | 11 Jul → | |
| debris | 5–9 | -0.05 | 14% | 11 Jul → | |
| boulder | 12–12 | 0.08 | 25% | 10 Jul → | |
| shelter | 1–13 | -0.10 | 17% | 10 Jul → | |
| 11–13 | -0.00 | 26% | 22 Jun → | ||
| 11–13 | 0.07 | 24% | 20 Jun → | ||
| 4–13 | -0.05 | 21% | 15 Jun → | ||
| 9–13 | 0.05 | 26% | 15 Jun → | ||
| 13–5 | 0.03 | 20% | 7 Jun → | ||
| 13–7 | -0.02 | 17% | 31 May → | ||
| 8–13 | -0.01 | 18% | 24 May → | ||
| 3–9 | -0.11 | 26% | 17 May → | ||
| 8–13 | 0.05 | 21% | 13 May → | ||
| 13–8 | 0.05 | 18% | 3 May → | ||
| 13–1 | 0.03 | 18% | 27 Apr → | ||
| 11–13 | 0.01 | 20% | 22 Apr → | ||
| 13–8 | -0.00 | 24% | 17 Apr → | ||
| 13–4 | 0.05 | 21% | 8 Apr → | ||
| 1–9 | -0.18 | 38% | 8 Apr → | ||
| 13–11 | 0.07 | 29% | 2 Apr → | ||
| 6–13 | -0.03 | 24% | 30 Mar → | ||
| 13–10 | 0.03 | 37% | 30 Mar → | ||
| 2–13 | -0.03 | 20% | 30 Mar → | ||
| 13–9 | 0.10 | 21% | 23 Mar → | ||
| 13–11 | 0.03 | 6% | 23 Mar → | ||
| 7–13 | -0.01 | 35% | 23 Mar → | ||
| 6–9 | -0.14 | 21% | 23 Mar → | ||
| 13–10 | 0.06 | 20% | 22 Mar → | ||
| 13–6 | 0.05 | 25% | 21 Mar → | ||
| 7–13 | -0.11 | 14% | 20 Mar → | ||
| 16–14 | 0.01 | 21% | 20 Mar → | ||
| 0–13 | -0.07 | 33% | 20 Mar → | ||
| 15–15 | 0.00 | 16% | 20 Mar → | ||
| 13–7 | 0.10 | 28% | 18 Mar → | ||
| 7–13 | 0.02 | 21% | 18 Mar → | ||
| 13–10 | 0.02 | 24% | 18 Mar → | ||
| 5–13 | -0.05 | 22% | 18 Mar → | ||
| 11–13 | 0.04 | 12% | 16 Mar → | ||
| 13–9 | 0.07 | 22% | 16 Mar → | ||
| 7–13 | -0.03 | 18% | 16 Mar → | ||
| 14–16 | -0.04 | 17% | 14 Mar → | ||
| 10–13 | 0.05 | 23% | 13 Mar → | ||
| 13–2 | -0.01 | 24% | 13 Mar → | ||
| 11–13 | -0.01 | 17% | 13 Mar → | ||
| 10–13 | -0.01 | 15% | 13 Mar → | ||
| 13–8 | 0.02 | 14% | 13 Mar → | ||
| 11–13 | 0.02 | 17% | 12 Mar → | ||
| 13–8 | 0.08 | 19% | 12 Mar → | ||
| 13–11 | 0.06 | 16% | 11 Mar → | ||
| 13–7 | 0.04 | 31% | 11 Mar → | ||
| 12–16 | 0.01 | 25% | 11 Mar → | ||
| 13–11 | -0.02 | 23% | 9 Mar → | ||
| 13–9 | 0.03 | 13% | 9 Mar → | ||
| 6–13 | 0.00 | 36% | 9 Mar → | ||
| 13–10 | 0.02 | 20% | 8 Mar → | ||
| 13–5 | 0.07 | 30% | 7 Mar → | ||
| 11–13 | -0.01 | 32% | 7 Mar → | ||
| warden | 13–10 | 0.07 | 15% | 7 Mar → | |
| 4–13 | -0.03 | 43% | 6 Mar → | ||
| 13–5 | 0.17 | 17% | 2 Mar → | ||
| 13–7 | 0.03 | 29% | 2 Mar → | ||
| 9–13 | 0.04 | 29% | 19 Feb → | ||
| 10–2 | 0.01 | 42% | 19 Feb → | ||
| 5–13 | -0.03 | 23% | 16 Feb → | ||
| 5–13 | -0.05 | 27% | 15 Feb → | ||
| 13–9 | -0.00 | 24% | 14 Feb → | ||
| 9–13 | 0.01 | 17% | 14 Feb → | ||
| 9–13 | -0.05 | 15% | 13 Feb → | ||
| 3–13 | -0.08 | 20% | 13 Feb → | ||
| 13–11 | 0.04 | 28% | 13 Feb → | ||
| 13–7 | 0.09 | 33% | 13 Feb → | ||
| 13–3 | 0.20 | 23% | 13 Feb → | ||
| 1–13 | -0.00 | 16% | 12 Feb → | ||
| 5–13 | -0.05 | 16% | 12 Feb → | ||
| 13–9 | 0.14 | 14% | 11 Feb → | ||
| 13–11 | -0.04 | 17% | 9 Feb → | ||
| 13–4 | 0.06 | 28% | 9 Feb → | ||
| 13–7 | 0.01 | 11% | 8 Feb → | ||
| 5–13 | -0.00 | 13% | 8 Feb → | ||
| 13–6 | 0.06 | 15% | 6 Feb → | ||
| 13–8 | 0.10 | 24% | 6 Feb → | ||
| 6–9 | 0.07 | 27% | 6 Feb → | ||
| 11–13 | -0.02 | 14% | 5 Feb → |
Match data via Leetify.