Carrie White — CS2 Stats
76561198909112516[U:1:948846788]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 45.1% | 41.7% | 44.1% | above |
| Shot accuracy | 16.0% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.18 | 0.97 | 1.03 | above |
| Match win rate | 51.3% | 43.8% | 45.2% | above |
Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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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.
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-fight frequency, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 630ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 13–9 | 59% | 0.04 | |
| B | 21 | 11–10 | 52% | -0.01 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| S | 12 | 10–2 | 83% | 0.05 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| — | 4 | 4–0 | 100% | 0.07 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.02 | |
| office | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
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 12.6598° — above the 12° mark we flag
- 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 0.372 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.00 | 29% | 22 Aug → | ||
| 4–13 | -0.03 | 12% | 21 Aug → | ||
| 13–8 | 0.08 | 23% | 19 Aug → | ||
| 8–13 | 0.08 | 16% | 16 Aug → | ||
| 13–4 | -0.02 | 21% | 16 Aug → | ||
| 13–5 | -0.00 | 17% | 14 Aug → | ||
| 7–13 | 0.05 | 16% | 11 Aug → | ||
| 13–8 | 0.02 | 12% | 7 Aug → | ||
| 13–11 | 0.08 | 21% | 6 Aug → | ||
| 13–7 | -0.03 | 14% | 6 Aug → | ||
| 13–11 | 0.02 | 22% | 6 Aug → | ||
| 10–13 | -0.02 | 28% | 5 Aug → | ||
| 13–7 | 0.00 | 18% | 5 Aug → | ||
| 9–4 | 0.17 | 16% | 5 Aug → | ||
| 13–7 | 0.12 | 25% | 3 Aug → | ||
| 13–6 | -0.02 | 26% | 3 Aug → | ||
| 13–9 | 0.06 | 13% | 1 Aug → | ||
| 13–11 | 0.06 | 24% | 29 Jul → | ||
| 5–13 | -0.04 | 15% | 29 Jul → | ||
| 10–13 | 0.06 | 16% | 28 Jul → | ||
| 13–7 | 0.01 | 22% | 28 Jul → | ||
| 13–1 | 0.04 | 25% | 28 Jul → | ||
| 6–13 | -0.00 | 28% | 26 Jul → | ||
| 7–13 | 0.07 | 38% | 20 Jul → | ||
| 11–13 | 0.10 | 12% | 16 Jul → | ||
| 8–13 | -0.06 | 22% | 14 Jul → | ||
| office | 13–10 | 0.03 | 11% | 12 Jul → | |
| 13–10 | 0.05 | 15% | 12 Jul → | ||
| 11–2 | -0.02 | 0% | 12 Jul → | ||
| 12–16 | 0.04 | 19% | 12 Jul → | ||
| 13–8 | -0.01 | 13% | 12 Jul → | ||
| 13–10 | 0.06 | 15% | 10 Jul → | ||
| 13–5 | 0.09 | 27% | 8 Jul → | ||
| 13–8 | 0.03 | 20% | 8 Jul → | ||
| 12–12 | 0.01 | 30% | 5 Jul → | ||
| 13–11 | -0.03 | 17% | 5 Jul → | ||
| 2–13 | -0.05 | 17% | 5 Jul → | ||
| 6–13 | 0.04 | 24% | 5 Jul → | ||
| 13–7 | -0.02 | 24% | 1 Jul → | ||
| 8–2 | 0.14 | 16% | 30 Jun → | ||
| 13–7 | 0.14 | 14% | 30 Jun → | ||
| 6–13 | 0.02 | 15% | 30 Jun → | ||
| 13–2 | 0.03 | 24% | 29 Jun → | ||
| 13–8 | 0.06 | 23% | 29 Jun → | ||
| 11–13 | -0.02 | 4% | 28 Jun → | ||
| 13–8 | 0.15 | 13% | 28 Jun → | ||
| 5–13 | -0.04 | 33% | 28 Jun → | ||
| 13–10 | 0.19 | 19% | 27 Jun → | ||
| 13–7 | -0.03 | 20% | 27 Jun → | ||
| 6–2 | -0.07 | 50% | 27 Jun → | ||
| 13–4 | 0.08 | 16% | 27 Jun → | ||
| 13–2 | 0.06 | 33% | 27 Jun → | ||
| 13–7 | 0.05 | 24% | 26 Jun → | ||
| 0–13 | -0.00 | 0% | 26 Jun → | ||
| 13–11 | -0.02 | 19% | 26 Jun → | ||
| 13–10 | -0.02 | 39% | 26 Jun → | ||
| 10–13 | -0.06 | 33% | 26 Jun → | ||
| 6–11 | 0.06 | 28% | 26 Jun → | ||
| 0–13 | -0.03 | 0% | 26 Jun → | ||
| 13–5 | 0.10 | 22% | 24 Jun → | ||
| 13–4 | 0.08 | 16% | 24 Jun → | ||
| 7–13 | 0.02 | 6% | 23 Jun → | ||
| 10–13 | -0.03 | 17% | 23 Jun → | ||
| 15–15 | 0.12 | 8% | 22 Jun → | ||
| 13–10 | 0.04 | 18% | 21 Jun → | ||
| 13–11 | -0.03 | 13% | 21 Jun → | ||
| 16–14 | 0.01 | 18% | 21 Jun → | ||
| 13–6 | 0.04 | 24% | 21 Jun → | ||
| 13–7 | -0.01 | 23% | 20 Jun → | ||
| 14–16 | -0.03 | 14% | 17 Jun → | ||
| 13–3 | -0.06 | 32% | 15 Jun → | ||
| 12–12 | 0.00 | 21% | 14 Jun → | ||
| 6–13 | -0.03 | 24% | 14 Jun → | ||
| 13–6 | 0.03 | 16% | 13 Jun → | ||
| 13–7 | 0.01 | 14% | 13 Jun → | ||
| 6–13 | 0.01 | 20% | 13 Jun → | ||
| 1–13 | -0.05 | 11% | 12 Jun → | ||
| 13–2 | 0.05 | 19% | 12 Jun → | ||
| 7–13 | 0.02 | 15% | 11 Jun → | ||
| 5–13 | 0.05 | 15% | 11 Jun → | ||
| 5–9 | -0.18 | 10% | 8 Jun → | ||
| 8–13 | 0.02 | 11% | 1 Jun → | ||
| 6–13 | 0.03 | 19% | 29 May → | ||
| 16–12 | 0.09 | 20% | 28 May → | ||
| 13–7 | 0.01 | 21% | 28 May → | ||
| 13–4 | -0.01 | 27% | 27 May → | ||
| 9–13 | -0.03 | 5% | 27 May → | ||
| 13–4 | 0.11 | 14% | 26 May → | ||
| 13–8 | 0.02 | 18% | 26 May → | ||
| 13–7 | -0.03 | 15% | 26 May → | ||
| 7–13 | 0.01 | 20% | 25 May → | ||
| 9–13 | -0.05 | 18% | 10 Apr → | ||
| 13–6 | 0.04 | 10% | 4 Jan → | ||
| 6–13 | -0.06 | 14% | 23 Dec → | ||
| 12–12 | 0.03 | 14% | 21 Dec → | ||
| 4–8 | 0.00 | 20% | 2 Mar → | ||
| 11–13 | 0.01 | 13% | 2 Mar → | ||
| 9–13 | -0.03 | 10% | 18 Feb → | ||
| 13–11 | -0.00 | 15% | 15 Feb → | ||
| 9–16 | -0.02 | 18% | 16 Jun → |
Match data via Leetify.