The Wrangler — CS2 Stats
76561198165258832[U:1:204993104]
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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 Twistzz 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
Areas to improve
Reaction time. 601ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
| office | A | 42 | 24–18 | 57% | 0.01 |
| B | 13 | 6–7 | 46% | -0.03 | |
| D | 10 | 2–8 | 20% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| grail | — | 3 | 1–2 | 33% | -0.03 |
| — | 2 | 0–2 | 0% | -0.02 | |
| palacio | — | 2 | 0–2 | 0% | -0.03 |
| dogtown | — | 2 | 1–1 | 50% | -0.00 |
| agency | — | 2 | 1–1 | 50% | -0.00 |
| shelter | — | 1 | 1–0 | 100% | 0.05 |
| — | 1 | 0–1 | 0% | -0.05 | |
| alpine | — | 1 | 0–1 | 0% | -0.01 |
| — | 1 | 0–1 | 0% | -0.03 | |
| golden | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | 0.01 | |
| brewery | — | 1 | 1–0 | 100% | 0.04 |
| jura | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 10). 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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4465 — below the 0.5 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 33.7167% — 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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.05 | 13% | 25 Jul → | ||
| shelter | 13–11 | 0.05 | 25% | 11 Jul → | |
| 6–13 | -0.05 | 3% | 31 May → | ||
| office | 13–9 | -0.00 | 19% | 18 Apr → | |
| 7–13 | -0.01 | 19% | 5 Apr → | ||
| office | 13–8 | 0.04 | 21% | 5 Apr → | |
| office | 13–7 | -0.00 | 19% | 5 Apr → | |
| office | 13–1 | -0.00 | 16% | 5 Apr → | |
| office | 7–13 | 0.02 | 11% | 4 Apr → | |
| 6–13 | -0.05 | 17% | 4 Apr → | ||
| 13–6 | -0.06 | 7% | 19 Mar → | ||
| office | 10–13 | -0.03 | 20% | 18 Mar → | |
| office | 9–13 | -0.00 | 17% | 18 Mar → | |
| 13–10 | -0.01 | 20% | 10 Mar → | ||
| office | 13–8 | 0.01 | 13% | 7 Mar → | |
| 13–3 | 0.00 | 9% | 7 Mar → | ||
| office | 13–5 | 0.09 | 11% | 6 Mar → | |
| office | 13–2 | 0.09 | 11% | 6 Mar → | |
| office | 13–3 | 0.04 | 16% | 4 Mar → | |
| alpine | 12–12 | -0.01 | 10% | 18 Feb → | |
| 9–13 | -0.03 | 8% | 7 Feb → | ||
| 12–12 | -0.02 | 20% | 7 Feb → | ||
| 13–8 | 0.06 | 5% | 4 Feb → | ||
| 7–13 | -0.02 | 19% | 15 Jan → | ||
| office | 4–13 | -0.02 | 20% | 14 Jan → | |
| office | 13–7 | 0.16 | 18% | 13 Jan → | |
| 4–13 | -0.05 | 22% | 12 Jan → | ||
| office | 6–8 | -0.06 | 21% | 9 Jan → | |
| 3–13 | 0.02 | 24% | 18 Dec → | ||
| 8–13 | 0.02 | 24% | 9 Dec → | ||
| 7–13 | -0.04 | 12% | 9 Dec → | ||
| office | 13–10 | -0.01 | 16% | 6 Dec → | |
| 9–13 | -0.04 | 17% | 5 Dec → | ||
| office | 11–13 | 0.04 | 10% | 3 Dec → | |
| palacio | 3–13 | -0.08 | 14% | 3 Dec → | |
| office | 12–12 | -0.01 | 13% | 2 Dec → | |
| office | 6–13 | -0.05 | 11% | 2 Dec → | |
| office | 7–13 | -0.08 | 7% | 25 Nov → | |
| 8–13 | -0.02 | 12% | 23 Nov → | ||
| 13–3 | 0.03 | 28% | 23 Nov → | ||
| 13–9 | -0.03 | 20% | 23 Nov → | ||
| office | 13–9 | -0.01 | 10% | 24 Oct → | |
| 4–13 | -0.05 | 13% | 24 Oct → | ||
| office | 13–10 | 0.04 | 14% | 23 Oct → | |
| palacio | 6–13 | 0.02 | 12% | 4 Oct → | |
| golden | 13–7 | 0.03 | 11% | 4 Oct → | |
| office | 13–10 | 0.10 | 11% | 22 Sept → | |
| office | 13–10 | -0.05 | 8% | 17 Sept → | |
| 9–7 | 0.04 | 22% | 17 Sept → | ||
| office | 12–1 | 0.05 | 13% | 16 Sept → | |
| office | 7–1 | 0.11 | 31% | 16 Sept → | |
| 13–6 | 0.04 | 14% | 23 Aug → | ||
| 6–13 | 0.01 | 18% | 23 Aug → | ||
| 3–13 | -0.06 | 5% | 22 Aug → | ||
| 3–13 | -0.08 | 6% | 22 Aug → | ||
| 13–7 | 0.02 | 9% | 22 Aug → | ||
| office | 13–10 | -0.02 | 10% | 21 Aug → | |
| office | 10–13 | -0.05 | 25% | 19 Aug → | |
| office | 6–13 | -0.04 | 13% | 19 Aug → | |
| 8–13 | 0.02 | 11% | 16 Aug → | ||
| 13–9 | 0.02 | 10% | 16 Aug → | ||
| 13–11 | 0.06 | 20% | 16 Aug → | ||
| office | 13–5 | -0.06 | 0% | 16 Aug → | |
| 3–9 | -0.13 | 38% | 15 Aug → | ||
| 7–9 | -0.05 | 24% | 15 Aug → | ||
| office | 13–11 | -0.03 | 13% | 2 Aug → | |
| office | 8–13 | 0.04 | 16% | 2 Aug → | |
| dogtown | 8–8 | -0.04 | 5% | 29 Jul → | |
| 9–3 | 0.04 | 19% | 29 Jul → | ||
| 11–13 | -0.00 | 11% | 25 Jul → | ||
| 8–13 | -0.07 | 15% | 24 Jul → | ||
| 16–12 | -0.02 | 17% | 23 Jul → | ||
| agency | 10–13 | -0.03 | 15% | 23 Jul → | |
| office | 12–12 | -0.03 | 18% | 3 Jul → | |
| office | 11–13 | 0.04 | 11% | 30 Jun → | |
| 13–3 | -0.05 | 21% | 29 Jun → | ||
| grail | 11–13 | -0.03 | 10% | 8 Jun → | |
| 8–13 | -0.03 | 16% | 7 Jun → | ||
| office | 12–12 | 0.05 | 17% | 17 May → | |
| grail | 13–7 | -0.03 | 22% | 17 May → | |
| office | 12–12 | -0.05 | 9% | 15 May → | |
| agency | 13–7 | 0.03 | 15% | 10 May → | |
| dogtown | 9–6 | 0.04 | 5% | 10 May → | |
| brewery | 9–4 | 0.04 | 13% | 9 May → | |
| grail | 2–13 | -0.03 | 11% | 9 May → | |
| jura | 4–13 | -0.06 | 6% | 9 May → | |
| 7–13 | -0.10 | 5% | 27 Apr → | ||
| office | 13–4 | -0.06 | 22% | 26 Apr → | |
| office | 13–4 | 0.02 | 17% | 26 Apr → | |
| office | 13–8 | -0.03 | 16% | 26 Apr → | |
| 11–13 | 0.03 | 21% | 24 Apr → | ||
| 9–13 | -0.03 | 13% | 23 Apr → | ||
| 8–13 | -0.01 | 22% | 9 Apr → | ||
| 5–13 | -0.02 | 11% | 9 Apr → | ||
| office | 13–11 | -0.01 | 25% | 6 Apr → | |
| 9–13 | 0.04 | 7% | 5 Apr → | ||
| office | 3–2 | 0.01 | 0% | 3 Apr → | |
| 7–13 | -0.02 | 11% | 3 Apr → | ||
| office | 2–13 | -0.03 | 17% | 2 Apr → | |
| office | 13–4 | 0.00 | 6% | 2 Apr → |
Match data via Leetify.
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