LoJo — CS2 Stats
RU76561198101771001[U:1:141505273]Steam profile ↗
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
Reaction time. 574ms 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 6.2/10 (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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | 0.03 | |
| B | 27 | 13–14 | 48% | 0.05 | |
| A | 13 | 8–5 | 62% | 0.07 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.08 | |
| — | 2 | 1–1 | 50% | 0.10 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| eldorado | — | 1 | 0–1 | 0% | -0.06 |
| debris | — | 1 | 0–1 | 0% | -0.07 |
| — | 1 | 1–0 | 100% | 0.27 | |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 100% | 2.00 | 14.0 |
| Mirage | 1 | 100% | 1.18 | 20.0 |
| Inferno | 1 | 0% | 1.07 | 15.0 |
| Nuke | 1 | 100% | 0.83 | 10.0 |
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–9 | -0.02 | 14% | 25 Aug → | ||
| 5–13 | 0.05 | 15% | 24 Aug → | ||
| 6–9 | -0.00 | 8% | 19 Aug → | ||
| 13–5 | 0.02 | 13% | 18 Aug → | ||
| 3–13 | -0.05 | 16% | 17 Aug → | ||
| 13–4 | 0.06 | 19% | 12 Aug → | ||
| 13–10 | 0.03 | 14% | 12 Aug → | ||
| 13–3 | 0.05 | 17% | 10 Aug → | ||
| 7–13 | 0.01 | 17% | 6 Aug → | ||
| 10–13 | 0.08 | 12% | 5 Aug → | ||
| 13–9 | 0.11 | 20% | 29 Jul → | ||
| 7–9 | 0.14 | 29% | 25 Jul → | ||
| 16–14 | 0.02 | 22% | 24 Jul → | ||
| 16–13 | 0.05 | 13% | 21 Jul → | ||
| eldorado | 6–9 | -0.06 | 9% | 15 Jul → | |
| debris | 3–9 | -0.07 | 25% | 15 Jul → | |
| 13–8 | 0.06 | 17% | 15 Jul → | ||
| 11–13 | 0.07 | 29% | 14 Jul → | ||
| 13–9 | 0.01 | 6% | 12 Jul → | ||
| 13–7 | 0.13 | 25% | 8 Jul → | ||
| 8–8 | 0.07 | 16% | 6 Jul → | ||
| 8–8 | -0.04 | 8% | 6 Jul → | ||
| 7–13 | 0.10 | 21% | 30 Jun → | ||
| 7–13 | 0.13 | 24% | 30 Jun → | ||
| 4–9 | -0.04 | 33% | 29 Jun → | ||
| 9–6 | 0.27 | 24% | 29 Jun → | ||
| 9–4 | 0.21 | 12% | 29 Jun → | ||
| 9–3 | 0.28 | 34% | 29 Jun → | ||
| 9–2 | 0.14 | 12% | 21 Jun → | ||
| 13–3 | 0.29 | 14% | 14 Jun → | ||
| office | 5–13 | -0.04 | 36% | 13 Jun → | |
| 3–9 | -0.11 | 17% | 13 Jun → | ||
| 12–12 | 0.06 | 16% | 10 Jun → | ||
| 9–6 | 0.12 | 24% | 9 Jun → | ||
| 9–7 | 0.08 | 11% | 9 Jun → | ||
| 9–3 | 0.05 | 27% | 9 Jun → | ||
| 9–13 | 0.10 | 22% | 7 Jun → | ||
| 7–13 | 0.04 | 25% | 12 May → | ||
| 11–13 | -0.04 | 17% | 28 Apr → | ||
| 6–13 | 0.00 | 16% | 19 Apr → | ||
| 7–13 | -0.02 | 17% | 19 Apr → | ||
| 13–8 | -0.02 | 35% | 19 Apr → | ||
| 8–8 | -0.04 | 15% | 14 Apr → | ||
| 7–9 | 0.03 | 26% | 14 Apr → | ||
| 13–5 | 0.08 | 15% | 11 Apr → | ||
| 4–9 | -0.02 | 7% | 11 Apr → | ||
| 6–9 | 0.00 | 13% | 11 Apr → | ||
| 9–4 | 0.04 | 25% | 11 Apr → | ||
| 4–13 | -0.06 | 13% | 7 Apr → | ||
| 13–8 | -0.02 | 15% | 7 Apr → | ||
| 9–5 | 0.17 | 31% | 7 Apr → | ||
| 10–13 | 0.00 | 17% | 7 Apr → | ||
| 6–9 | -0.06 | 24% | 7 Apr → | ||
| 9–4 | 0.07 | 21% | 7 Apr → | ||
| 11–13 | -0.03 | 21% | 6 Apr → | ||
| 13–7 | 0.04 | 27% | 5 Apr → | ||
| 10–13 | 0.00 | 16% | 5 Apr → | ||
| 13–4 | -0.01 | 11% | 5 Apr → | ||
| 11–13 | 0.01 | 30% | 5 Apr → | ||
| 9–1 | 0.29 | 11% | 5 Apr → | ||
| 13–4 | 0.03 | 32% | 4 Apr → | ||
| 7–13 | 0.09 | 32% | 4 Apr → | ||
| 13–6 | 0.21 | 26% | 4 Apr → | ||
| 2–9 | -0.12 | 33% | 4 Apr → | ||
| 12–12 | 0.07 | 17% | 4 Apr → | ||
| 13–11 | -0.01 | 24% | 4 Apr → | ||
| 4–9 | -0.09 | 11% | 1 Apr → | ||
| 16–13 | -0.00 | 14% | 31 Mar → | ||
| 7–13 | 0.00 | 22% | 31 Mar → | ||
| 13–8 | 0.07 | 26% | 31 Mar → | ||
| 8–8 | 0.10 | 39% | 31 Mar → | ||
| 11–13 | -0.03 | 17% | 31 Mar → | ||
| 13–6 | 0.03 | 18% | 30 Mar → | ||
| 7–9 | -0.04 | 3% | 30 Mar → | ||
| 6–9 | -0.04 | 28% | 30 Mar → | ||
| 5–9 | -0.03 | 17% | 29 Mar → | ||
| 6–13 | 0.12 | 17% | 29 Mar → | ||
| 13–2 | 0.16 | 31% | 29 Mar → | ||
| 9–7 | 0.07 | 7% | 29 Mar → | ||
| 9–1 | 0.20 | 27% | 29 Mar → | ||
| 9–7 | 0.16 | 25% | 29 Mar → | ||
| 13–9 | 0.02 | 11% | 29 Mar → | ||
| 13–8 | 0.14 | 19% | 29 Mar → | ||
| 13–3 | 0.15 | 8% | 29 Mar → | ||
| 9–13 | 0.06 | 29% | 29 Mar → | ||
| 13–5 | 0.02 | 11% | 29 Mar → | ||
| 13–16 | 0.00 | 18% | 29 Mar → | ||
| 11–13 | -0.02 | 17% | 26 Mar → | ||
| 12–16 | -0.05 | 22% | 26 Mar → | ||
| 11–13 | -0.02 | 20% | 26 Mar → | ||
| 3–13 | -0.08 | 10% | 26 Mar → | ||
| 13–3 | -0.01 | 29% | 25 Mar → | ||
| 6–13 | 0.03 | 17% | 25 Mar → | ||
| 10–13 | -0.04 | 23% | 25 Mar → | ||
| 5–13 | -0.07 | 27% | 25 Mar → | ||
| 13–9 | 0.01 | 9% | 24 Mar → | ||
| 7–13 | 0.06 | 25% | 24 Mar → | ||
| 13–6 | 0.03 | 18% | 24 Mar → | ||
| 13–8 | 0.01 | 11% | 24 Mar → | ||
| 9–5 | 0.13 | 19% | 24 Mar → |
Match data via Leetify.