Isaiah — CS2 Stats
76561198825373246[U:1:865107518]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 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 device 86% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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. 65% 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 65% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 629ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 25 | 11–14 | 44% | 0.03 |
 cache | D | 19 | 6–13 | 32% | 0.03 |
 mirage | A | 13 | 8–5 | 62% | 0.00 |
 anubis | D | 7 | 2–5 | 29% | 0.05 |
 inferno | D | 6 | 2–4 | 33% | 0.01 |
| office | B | 6 | 3–3 | 50% | 0.06 |
 nuke | D | 5 | 1–4 | 20% | -0.00 |
 train | A | 5 | 3–2 | 60% | 0.08 |
 vertigo | — | 4 | 3–1 | 75% | 0.07 |
 overpass | — | 3 | 3–0 | 100% | 0.09 |
 ancient | — | 3 | 1–2 | 33% | -0.00 |
| fachwerk | — | 1 | 0–1 | 0% | -0.07 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
| poseidon | — | 1 | 1–0 | 100% | 0.07 |
| italy | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0313 — below the 4 mark we flag
- 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 39.4531% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–7 | 0.07 | 22% | 11 Aug → | |
| nuke | 7–13 | -0.02 | 17% | 3 Aug → | |
| vertigo | 12–12 | -0.01 | 16% | 3 Aug → | |
| anubis | 10–13 | 0.10 | 20% | 28 Jul → | |
| inferno | 13–7 | 0.10 | 13% | 20 Jul → | |
| nuke | 13–6 | 0.09 | 17% | 14 Jul → | |
| dust2 | 4–13 | 0.01 | 17% | 13 Jul → | |
| train | 13–6 | 0.05 | 25% | 13 Jul → | |
| fachwerk | 11–13 | -0.07 | 18% | 10 Jul → | |
| shelter | 13–10 | -0.03 | 19% | 10 Jul → | |
| overpass | 13–8 | 0.07 | 23% | 8 Jul → | |
| office | 6–0 | 0.14 | 42% | 8 Jul → | |
| office | 12–12 | 0.06 | 32% | 8 Jul → | |
| dust2 | 7–13 | -0.01 | 26% | 7 Jul → | |
| anubis | 13–10 | 0.03 | 18% | 1 Jul → | |
| cache | 13–5 | 0.11 | 29% | 1 Jul → | |
| ancient | 8–13 | -0.02 | 13% | 30 Jun → | |
| dust2 | 9–13 | 0.11 | 25% | 30 Jun → | |
| dust2 | 10–13 | -0.01 | 17% | 29 Jun → | |
| mirage | 13–4 | 0.05 | 19% | 24 Jun → | |
| cache | 6–13 | 0.02 | 16% | 24 Jun → | |
| dust2 | 3–10 | -0.03 | 11% | 23 Jun → | |
| vertigo | 13–9 | 0.11 | 11% | 23 Jun → | |
| train | 13–7 | 0.13 | 14% | 23 Jun → | |
| anubis | 9–13 | 0.00 | 11% | 22 Jun → | |
| mirage | 16–12 | 0.04 | 14% | 22 Jun → | |
| cache | 9–13 | 0.07 | 27% | 21 Jun → | |
| cache | 13–10 | 0.05 | 14% | 20 Jun → | |
| dust2 | 3–13 | 0.06 | 25% | 17 Jun → | |
| train | 13–6 | 0.10 | 14% | 17 Jun → | |
| train | 5–13 | 0.12 | 34% | 17 Jun → | |
| overpass | 13–8 | 0.16 | 27% | 15 Jun → | |
| ancient | 4–3 | 0.04 | 19% | 15 Jun → | |
| cache | 10–13 | 0.07 | 15% | 14 Jun → | |
| cache | 8–13 | 0.03 | 26% | 14 Jun → | |
| mirage | 13–8 | 0.06 | 22% | 14 Jun → | |
| dust2 | 8–13 | 0.05 | 38% | 14 Jun → | |
| inferno | 11–13 | 0.05 | 22% | 10 Jun → | |
| dust2 | 13–10 | 0.04 | 25% | 10 Jun → | |
| dust2 | 11–13 | 0.06 | 18% | 10 Jun → | |
| mirage | 6–13 | 0.03 | 22% | 10 Jun → | |
| inferno | 3–9 | -0.12 | 17% | 9 Jun → | |
| dust2 | 7–13 | -0.03 | 9% | 6 Jun → | |
| vertigo | 13–5 | 0.14 | 15% | 6 Jun → | |
| mirage | 13–7 | -0.05 | 13% | 6 Jun → | |
| vertigo | 13–11 | 0.04 | 20% | 3 Jun → | |
| dust2 | 13–6 | 0.06 | 37% | 2 Jun → | |
| cache | 10–13 | 0.06 | 30% | 1 Jun → | |
| anubis | 1–13 | -0.07 | 14% | 1 Jun → | |
| anubis | 5–13 | 0.08 | 13% | 1 Jun → | |
| cache | 10–13 | -0.03 | 10% | 26 May → | |
| office | 12–12 | 0.05 | 36% | 26 May → | |
| mirage | 5–13 | -0.01 | 27% | 26 May → | |
| poseidon | 9–5 | 0.07 | 44% | 25 May → | |
| dust2 | 4–13 | -0.03 | 13% | 25 May → | |
| ancient | 6–13 | -0.03 | 15% | 25 May → | |
| cache | 13–6 | 0.14 | 36% | 25 May → | |
| dust2 | 13–10 | 0.09 | 30% | 23 May → | |
| italy | 12–12 | 0.01 | 17% | 23 May → | |
| dust2 | 13–6 | 0.03 | 31% | 23 May → | |
| office | 13–10 | 0.05 | 25% | 22 May → | |
| dust2 | 13–10 | 0.07 | 14% | 22 May → | |
| dust2 | 13–5 | 0.01 | 10% | 21 May → | |
| mirage | 13–7 | -0.03 | 11% | 20 May → | |
| nuke | 4–13 | -0.00 | 23% | 20 May → | |
| mirage | 7–13 | -0.03 | 19% | 20 May → | |
| anubis | 12–12 | 0.15 | 34% | 20 May → | |
| nuke | 7–13 | 0.01 | 29% | 19 May → | |
| anubis | 13–5 | 0.07 | 22% | 19 May → | |
| inferno | 13–11 | -0.03 | 14% | 19 May → | |
| dust2 | 13–5 | 0.05 | 25% | 19 May → | |
| mirage | 13–3 | -0.02 | 5% | 19 May → | |
| mirage | 13–6 | 0.06 | 10% | 18 May → | |
| office | 13–5 | -0.04 | 14% | 18 May → | |
| dust2 | 5–13 | 0.06 | 17% | 18 May → | |
| train | 8–13 | 0.02 | 20% | 18 May → | |
| mirage | 5–13 | -0.05 | 23% | 14 May → | |
| dust2 | 8–13 | 0.03 | 25% | 14 May → | |
| dust2 | 13–7 | 0.07 | 28% | 14 May → | |
| office | 5–13 | 0.07 | 34% | 14 May → | |
| cache | 12–12 | 0.04 | 22% | 11 May → | |
| cache | 12–12 | -0.01 | 26% | 10 May → | |
| cache | 12–12 | 0.07 | 24% | 9 May → | |
| cache | 8–13 | 0.11 | 25% | 9 May → | |
| cache | 13–6 | -0.05 | 15% | 7 May → | |
| cache | 12–12 | -0.02 | 17% | 6 May → | |
| cache | 8–13 | -0.05 | 17% | 6 May → | |
| inferno | 9–13 | 0.06 | 33% | 5 May → | |
| dust2 | 5–13 | -0.01 | 21% | 5 May → | |
| dust2 | 0–13 | -0.01 | 21% | 5 May → | |
| dust2 | 13–1 | 0.10 | 12% | 5 May → | |
| overpass | 13–10 | 0.03 | 19% | 4 May → | |
| nuke | 10–13 | -0.08 | 12% | 4 May → | |
| inferno | 9–13 | -0.01 | 22% | 4 May → | |
| mirage | 13–3 | -0.05 | 18% | 4 May → | |
| mirage | 10–13 | 0.05 | 39% | 29 Apr → | |
| dust2 | 13–9 | 0.01 | 21% | 29 Apr → | |
| cache | 6–13 | 0.05 | 10% | 29 Apr → | |
| cache | 13–10 | 0.02 | 22% | 29 Apr → | |
| cache | 13–4 | -0.06 | 10% | 29 Apr → |
Match data via Leetify.