⑧ Lobo — CS2 Stats
76561198148318756[U:1:188053028]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
High utility contribution
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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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
Utility. Utility score of 75 — grenade impact well above the norm.
Areas to improve
Reaction time. 717ms 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 5.0/10 (Developing), 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 54 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 | 15 | 7–8 | 47% | -0.03 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.03 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| S | 6 | 4–2 | 67% | -0.03 | |
| S | 5 | 4–1 | 80% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 54 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage 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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2294° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4673% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 717.0671ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | -0.08 | 16% | 10 Aug → | ||
| 13–11 | -0.01 | 26% | 9 Aug → | ||
| 12–16 | -0.05 | 19% | 9 Aug → | ||
| 13–3 | -0.00 | 12% | 6 Aug → | ||
| 13–7 | 0.02 | 5% | 20 Jul → | ||
| 6–13 | -0.03 | 8% | 20 Jul → | ||
| 13–5 | 0.03 | 19% | 13 Jul → | ||
| 14–16 | -0.04 | 11% | 10 Jul → | ||
| 13–8 | -0.02 | 22% | 16 Jun → | ||
| 13–0 | -0.02 | 17% | 15 Jun → | ||
| 14–16 | -0.06 | 26% | 1 Jun → | ||
| 13–7 | -0.01 | 17% | 24 May → | ||
| 10–13 | -0.03 | 7% | 9 May → | ||
| 13–11 | -0.04 | 5% | 9 May → | ||
| 19–16 | 0.00 | 14% | 3 May → | ||
| 14–16 | -0.05 | 4% | 2 May → | ||
| 11–13 | -0.00 | 21% | 1 May → | ||
| 13–4 | -0.00 | 4% | 27 Apr → | ||
| 16–14 | -0.02 | 10% | 24 Apr → | ||
| 7–13 | -0.03 | 11% | 20 Apr → | ||
| 13–10 | -0.01 | 15% | 20 Apr → | ||
| 16–14 | -0.04 | 30% | 4 Apr → | ||
| 13–11 | -0.01 | 9% | 4 Apr → | ||
| 13–3 | 0.04 | 8% | 4 Apr → | ||
| 16–14 | -0.03 | 7% | 23 Mar → | ||
| 13–11 | 0.03 | 21% | 20 Mar → | ||
| 13–10 | 0.00 | 17% | 13 Mar → | ||
| 11–13 | -0.07 | 5% | 8 Mar → | ||
| 13–5 | 0.01 | 13% | 13 Feb → | ||
| 4–13 | -0.05 | 33% | 4 Feb → | ||
| 10–13 | -0.08 | 23% | 23 Jan → | ||
| 9–13 | -0.07 | 16% | 23 Jan → | ||
| 9–13 | -0.09 | 25% | 16 Jan → | ||
| 15–10 | 0.01 | 38% | 11 Jan → | ||
| 15–5 | -0.05 | 11% | 10 Jan → | ||
| 4–13 | -0.07 | 26% | 24 Oct → | ||
| 2–13 | -0.02 | 10% | 24 Oct → | ||
| 13–10 | -0.02 | 16% | 19 Oct → | ||
| 13–10 | -0.03 | 17% | 19 Oct → | ||
| 11–9 | 0.03 | 16% | 17 Oct → | ||
| 10–13 | -0.03 | 15% | 16 Oct → | ||
| 7–13 | 0.06 | 11% | 13 Oct → | ||
| 2–13 | -0.08 | 13% | 12 Oct → | ||
| 6–13 | -0.07 | 5% | 3 Oct → | ||
| 13–9 | 0.02 | 14% | 3 Oct → | ||
| 13–9 | 0.04 | 19% | 9 May → | ||
| 10–13 | -0.06 | 7% | 8 May → | ||
| 5–13 | -0.08 | 17% | 6 May → | ||
| 12–12 | -0.04 | 22% | 4 May → | ||
| 6–13 | -0.12 | 22% | 3 May → | ||
| 11–13 | -0.04 | 22% | 1 May → | ||
| 8–13 | -0.06 | 32% | 26 Apr → | ||
| 13–8 | 0.09 | 18% | 24 Apr → | ||
| 12–12 | -0.02 | 14% | 14 Apr → |
Match data via Leetify.
Recent teammates
- 28Player 07502831 recent matches together
- 97Player 90259717 recent matches together
- 94Player 5541949 recent matches together
- 26Player 28782611 recent matches together
- 58Player 23715816 recent matches together
- 14Player 4507149 recent matches together
- 91Player 70939114 recent matches together
- 66Player 1969667 recent matches together