Guido — CS2 Stats
76561198979083399[U:1:1018817671]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong 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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution.
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 89 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 65% on CT to 50% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
 inferno | A | 21 | 13–8 | 62% | 0.03 |
 ancient | A | 20 | 12–8 | 60% | 0.04 |
 dust2 | B | 17 | 8–9 | 47% | 0.01 |
 mirage | A | 17 | 10–7 | 59% | 0.03 |
 nuke | A | 11 | 6–5 | 55% | 0.02 |
 cache | S | 7 | 5–2 | 71% | 0.03 |
 anubis | D | 6 | 2–4 | 33% | 0.00 |
 overpass | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis 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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3835 — below the 0.5 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 | |
|---|---|---|---|---|---|
| ancient | 13–8 | 0.04 | 15% | 26 Aug → | |
| cache | 11–13 | -0.04 | 8% | 16 Aug → | |
| inferno | 10–13 | -0.01 | 19% | 13 Aug → | |
| anubis | 10–13 | 0.05 | 15% | 13 Aug → | |
| dust2 | 6–13 | -0.03 | 17% | 12 Aug → | |
| inferno | 8–13 | 0.04 | 21% | 12 Aug → | |
| mirage | 4–13 | 0.02 | 15% | 11 Aug → | |
| dust2 | 13–11 | 0.02 | 13% | 11 Aug → | |
| cache | 13–4 | -0.08 | 25% | 11 Aug → | |
| mirage | 13–9 | 0.05 | 16% | 11 Aug → | |
| ancient | 13–5 | 0.08 | 13% | 11 Aug → | |
| dust2 | 13–6 | 0.03 | 17% | 11 Aug → | |
| inferno | 13–2 | 0.08 | 27% | 11 Aug → | |
| nuke | 13–10 | 0.03 | 17% | 11 Aug → | |
| cache | 10–13 | 0.03 | 26% | 11 Aug → | |
| nuke | 15–15 | 0.02 | 19% | 10 Aug → | |
| ancient | 13–4 | 0.10 | 21% | 10 Aug → | |
| anubis | 13–11 | 0.01 | 18% | 10 Aug → | |
| dust2 | 13–6 | 0.07 | 16% | 10 Aug → | |
| ancient | 11–13 | 0.01 | 10% | 10 Aug → | |
| inferno | 13–11 | 0.03 | 23% | 9 Aug → | |
| ancient | 9–13 | -0.02 | 12% | 3 Aug → | |
| mirage | 13–4 | 0.08 | 18% | 1 Aug → | |
| mirage | 13–9 | 0.08 | 3% | 1 Aug → | |
| anubis | 13–11 | -0.03 | 12% | 1 Aug → | |
| nuke | 13–16 | 0.03 | 18% | 1 Aug → | |
| dust2 | 8–13 | 0.07 | 17% | 28 Jul → | |
| nuke | 4–13 | -0.02 | 13% | 28 Jul → | |
| mirage | 9–13 | -0.07 | 5% | 26 Jul → | |
| ancient | 4–13 | -0.10 | 43% | 21 Jul → | |
| ancient | 13–1 | 0.17 | 41% | 21 Jul → | |
| dust2 | 10–13 | -0.08 | 22% | 21 Jul → | |
| inferno | 9–3 | 0.14 | 9% | 21 Jul → | |
| cache | 16–13 | 0.03 | 13% | 19 Jul → | |
| dust2 | 13–3 | 0.06 | 11% | 19 Jul → | |
| anubis | 8–13 | -0.01 | 27% | 19 Jul → | |
| mirage | 7–13 | -0.07 | 17% | 4 Jul → | |
| dust2 | 13–8 | 0.04 | 21% | 4 Jul → | |
| mirage | 10–13 | 0.02 | 17% | 3 Jul → | |
| ancient | 13–9 | 0.03 | 12% | 3 Jul → | |
| inferno | 13–4 | 0.01 | 7% | 25 Jun → | |
| ancient | 13–3 | 0.04 | 14% | 25 Jun → | |
| inferno | 2–13 | -0.05 | 28% | 20 Jun → | |
| inferno | 3–13 | -0.03 | 12% | 20 Jun → | |
| mirage | 13–4 | 0.08 | 13% | 20 Jun → | |
| nuke | 13–6 | 0.05 | 28% | 20 Jun → | |
| dust2 | 9–13 | -0.02 | 18% | 18 Jun → | |
| mirage | 13–3 | 0.03 | 27% | 13 Jun → | |
| ancient | 13–9 | -0.00 | 15% | 13 Jun → | |
| dust2 | 10–13 | 0.01 | 8% | 8 Jun → | |
| inferno | 13–8 | 0.00 | 25% | 8 Jun → | |
| nuke | 4–13 | -0.03 | 21% | 8 Jun → | |
| inferno | 13–1 | 0.17 | 23% | 8 Jun → | |
| ancient | 4–13 | 0.04 | 13% | 28 May → | |
| mirage | 13–16 | 0.03 | 8% | 22 May → | |
| inferno | 13–10 | 0.01 | 18% | 22 May → | |
| ancient | 13–3 | 0.17 | 16% | 22 May → | |
| inferno | 13–8 | -0.04 | 24% | 21 May → | |
| ancient | 2–13 | -0.01 | 12% | 16 May → | |
| nuke | 13–7 | 0.11 | 13% | 16 May → | |
| mirage | 13–11 | -0.01 | 22% | 16 May → | |
| overpass | 13–6 | 0.10 | 25% | 16 May → | |
| anubis | 11–13 | -0.02 | 19% | 16 May → | |
| ancient | 13–6 | -0.00 | 12% | 16 May → | |
| dust2 | 13–7 | 0.06 | 26% | 16 May → | |
| ancient | 13–11 | -0.01 | 17% | 13 May → | |
| mirage | 13–16 | 0.06 | 17% | 13 May → | |
| inferno | 8–13 | 0.01 | 20% | 11 May → | |
| ancient | 13–3 | 0.12 | 19% | 11 May → | |
| dust2 | 13–4 | 0.03 | 6% | 11 May → | |
| dust2 | 7–13 | -0.07 | 13% | 7 May → | |
| inferno | 13–4 | 0.06 | 12% | 7 May → | |
| inferno | 4–13 | -0.04 | 8% | 6 May → | |
| nuke | 11–13 | 0.00 | 17% | 5 May → | |
| ancient | 9–13 | -0.01 | 13% | 5 May → | |
| inferno | 13–7 | 0.05 | 16% | 5 May → | |
| mirage | 13–4 | 0.01 | 5% | 3 May → | |
| cache | 13–2 | 0.10 | 16% | 3 May → | |
| dust2 | 13–10 | 0.04 | 14% | 3 May → | |
| mirage | 13–8 | 0.01 | 9% | 3 May → | |
| nuke | 13–4 | -0.02 | 26% | 3 May → | |
| inferno | 13–2 | 0.05 | 26% | 3 May → | |
| ancient | 13–8 | -0.00 | 14% | 3 May → | |
| mirage | 13–6 | -0.00 | 6% | 3 May → | |
| ancient | 9–13 | 0.12 | 4% | 2 May → | |
| inferno | 8–13 | 0.05 | 16% | 2 May → | |
| dust2 | 10–13 | -0.02 | 12% | 2 May → | |
| mirage | 13–2 | 0.13 | 15% | 2 May → | |
| dust2 | 4–13 | -0.00 | 10% | 30 Apr → | |
| cache | 13–5 | 0.05 | 21% | 30 Apr → | |
| cache | 13–7 | 0.11 | 17% | 30 Apr → | |
| inferno | 12–16 | 0.02 | 18% | 28 Apr → | |
| nuke | 13–11 | 0.03 | 14% | 28 Apr → | |
| dust2 | 5–13 | 0.01 | 29% | 26 Apr → | |
| nuke | 16–14 | 0.05 | 9% | 26 Apr → | |
| inferno | 9–6 | 0.11 | 20% | 26 Apr → | |
| anubis | 7–13 | -0.00 | 6% | 21 Apr → | |
| mirage | 14–16 | 0.09 | 7% | 21 Apr → | |
| inferno | 16–14 | 0.02 | 8% | 18 Apr → | |
| ancient | 6–13 | -0.04 | 3% | 18 Apr → |
Match data via Leetify.
