Tannie Mara Leuwes Van Strydom — CS2 Stats
76561198304671379[U:1:344405651]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 37.1% | 48.1% | 10.9% short |
| Shot accuracy | 4.6% | 12.9% | 8.3% short |
| Kill/death ratio | 0.88 | 1.08 | 0.20 short |
| Match win rate | 42.1% | 46.5% | 4.3% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 ropz 86% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
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 56% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
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 6.0/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.01 | |
| A | 19 | 12–7 | 63% | -0.01 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| S | 15 | 10–5 | 67% | -0.02 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| B | 6 | 3–3 | 50% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 15). 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.
- 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 0.1336 — 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 29.8139% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.01 | 13% | 27 Aug → | ||
| 11–13 | -0.03 | 13% | 27 Aug → | ||
| 13–2 | 0.07 | 25% | 27 Aug → | ||
| 6–13 | 0.06 | 19% | 25 Aug → | ||
| 8–13 | -0.01 | 19% | 25 Aug → | ||
| 8–13 | 0.02 | 20% | 24 Aug → | ||
| 9–13 | -0.04 | 26% | 22 Aug → | ||
| 10–13 | 0.05 | 14% | 22 Aug → | ||
| 11–13 | 0.04 | 22% | 22 Aug → | ||
| 13–8 | 0.01 | 27% | 21 Aug → | ||
| 13–11 | -0.06 | 20% | 21 Aug → | ||
| 13–5 | -0.02 | 18% | 21 Aug → | ||
| 8–13 | 0.01 | 15% | 21 Aug → | ||
| 13–7 | 0.08 | 27% | 21 Aug → | ||
| 7–13 | -0.00 | 18% | 19 Aug → | ||
| 8–13 | 0.02 | 19% | 18 Aug → | ||
| 13–9 | -0.01 | 13% | 18 Aug → | ||
| 8–13 | -0.02 | 17% | 17 Aug → | ||
| 13–11 | 0.08 | 21% | 17 Aug → | ||
| 13–7 | 0.06 | 14% | 17 Aug → | ||
| 13–16 | 0.06 | 19% | 17 Aug → | ||
| 15–15 | -0.04 | 13% | 15 Aug → | ||
| 13–5 | 0.00 | 26% | 15 Aug → | ||
| 14–16 | -0.02 | 15% | 15 Aug → | ||
| 13–8 | -0.04 | 12% | 14 Aug → | ||
| 13–5 | 0.09 | 19% | 14 Aug → | ||
| 13–9 | -0.04 | 12% | 14 Aug → | ||
| 10–13 | -0.04 | 15% | 14 Aug → | ||
| 9–13 | -0.01 | 19% | 14 Aug → | ||
| 13–6 | -0.03 | 23% | 14 Aug → | ||
| 13–10 | -0.00 | 15% | 14 Aug → | ||
| 4–13 | -0.07 | 22% | 13 Aug → | ||
| 13–7 | -0.05 | 18% | 12 Aug → | ||
| 13–11 | -0.07 | 25% | 12 Aug → | ||
| 14–16 | 0.01 | 16% | 12 Aug → | ||
| 3–11 | -0.07 | 15% | 12 Aug → | ||
| 6–13 | -0.06 | 24% | 9 Aug → | ||
| 13–2 | 0.06 | 19% | 9 Aug → | ||
| 10–13 | -0.07 | 9% | 9 Aug → | ||
| 4–13 | -0.10 | 29% | 9 Aug → | ||
| 6–13 | -0.05 | 20% | 9 Aug → | ||
| 16–14 | -0.02 | 25% | 9 Aug → | ||
| 13–9 | 0.05 | 19% | 9 Aug → | ||
| 13–4 | 0.08 | 21% | 7 Aug → | ||
| 6–13 | -0.00 | 19% | 7 Aug → | ||
| 11–13 | -0.01 | 21% | 7 Aug → | ||
| 13–3 | -0.03 | 14% | 7 Aug → | ||
| 13–10 | -0.02 | 19% | 7 Aug → | ||
| 7–13 | 0.01 | 9% | 7 Aug → | ||
| 15–15 | -0.02 | 10% | 7 Aug → | ||
| 7–13 | -0.01 | 14% | 6 Aug → | ||
| 13–11 | -0.04 | 11% | 6 Aug → | ||
| 13–5 | -0.03 | 9% | 5 Aug → | ||
| 13–6 | 0.03 | 43% | 5 Aug → | ||
| 13–11 | -0.01 | 17% | 5 Aug → | ||
| 5–13 | -0.02 | 14% | 4 Aug → | ||
| 14–16 | 0.01 | 20% | 4 Aug → | ||
| 9–13 | -0.06 | 17% | 3 Aug → | ||
| 9–13 | -0.01 | 20% | 3 Aug → | ||
| 13–11 | -0.00 | 19% | 3 Aug → | ||
| 13–5 | -0.07 | 21% | 2 Aug → | ||
| 13–11 | -0.03 | 13% | 2 Aug → | ||
| 11–13 | -0.03 | 13% | 2 Aug → | ||
| 16–12 | -0.04 | 10% | 1 Aug → | ||
| 7–13 | -0.01 | 14% | 1 Aug → | ||
| 13–5 | -0.00 | 30% | 1 Aug → | ||
| 13–5 | 0.12 | 10% | 1 Aug → | ||
| 13–6 | 0.02 | 17% | 1 Aug → | ||
| 13–5 | 0.03 | 16% | 31 Jul → | ||
| 11–13 | -0.03 | 25% | 31 Jul → | ||
| 13–9 | -0.00 | 11% | 31 Jul → | ||
| 13–9 | -0.02 | 19% | 31 Jul → | ||
| 11–13 | -0.02 | 14% | 31 Jul → | ||
| 13–7 | -0.03 | 10% | 31 Jul → | ||
| 13–7 | 0.05 | 29% | 31 Jul → | ||
| 9–13 | -0.04 | 27% | 31 Jul → | ||
| 8–13 | -0.05 | 15% | 31 Jul → | ||
| 7–13 | -0.03 | 17% | 31 Jul → | ||
| 5–13 | -0.04 | 6% | 31 Jul → | ||
| 13–6 | 0.01 | 12% | 31 Jul → | ||
| 13–11 | 0.00 | 17% | 31 Jul → | ||
| 13–9 | -0.02 | 23% | 31 Jul → | ||
| 13–8 | 0.02 | 17% | 31 Jul → | ||
| 6–13 | -0.05 | 15% | 28 Jul → | ||
| 13–6 | 0.00 | 21% | 28 Jul → | ||
| 7–13 | -0.05 | 18% | 26 Jul → | ||
| 11–13 | -0.04 | 13% | 26 Jul → | ||
| 16–13 | -0.03 | 11% | 25 Jul → | ||
| 13–1 | 0.07 | 22% | 25 Jul → | ||
| 11–13 | -0.01 | 16% | 25 Jul → | ||
| 16–14 | -0.02 | 22% | 25 Jul → | ||
| 10–13 | 0.01 | 19% | 25 Jul → | ||
| 9–13 | -0.02 | 15% | 25 Jul → | ||
| 13–10 | -0.07 | 14% | 24 Jul → | ||
| 13–3 | -0.01 | 23% | 24 Jul → | ||
| 3–13 | 0.00 | 13% | 24 Jul → | ||
| 13–10 | 0.02 | 13% | 24 Jul → | ||
| 13–10 | 0.00 | 22% | 24 Jul → | ||
| 13–11 | -0.01 | 17% | 24 Jul → | ||
| 13–8 | 0.00 | 14% | 24 Jul → |
Match data via Leetify.