Krister2012 — CS2 Stats
76561198846963208[U:1:886697480]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 51.3% | 47.2% | 49.9% | above |
| Shot accuracy | 15.1% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.16 | 1.09 | 1.12 | above |
| Match win rate | 49.2% | 46.6% | 48.4% | meets |
Across every metric we can compare, this profile already matches the typical Red 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: +0pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: opening-duel success, 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. 555ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 mirage | B | 30 | 15–15 | 50% | 0.01 |
 ancient | C | 13 | 5–8 | 38% | 0.04 |
 dust2 | S | 12 | 9–3 | 75% | 0.01 |
 inferno | D | 10 | 3–7 | 30% | -0.01 |
 nuke | D | 9 | 3–6 | 33% | 0.04 |
 cache | S | 8 | 6–2 | 75% | 0.02 |
 anubis | C | 7 | 3–4 | 43% | 0.00 |
 overpass | C | 7 | 3–4 | 43% | 0.03 |
 vertigo | — | 3 | 2–1 | 67% | -0.01 |
 train | — | 1 | 0–1 | 0% | 0.18 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 1.25 | 21.0 |
| Nuke | 1 | 100% | 1.91 | 21.0 |
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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 2–7 | -0.10 | 14% | 21 Aug → | |
| mirage | 8–13 | -0.00 | 14% | 18 Aug → | |
| dust2 | 13–10 | 0.04 | 30% | 9 Aug → | |
| cache | 13–7 | -0.01 | 19% | 5 Aug → | |
| ancient | 11–13 | 0.01 | 30% | 4 Aug → | |
| ancient | 16–13 | 0.07 | 24% | 4 Aug → | |
| cache | 13–11 | -0.01 | 32% | 4 Aug → | |
| inferno | 13–3 | 0.05 | 28% | 3 Aug → | |
| nuke | 13–8 | 0.00 | 22% | 3 Aug → | |
| mirage | 9–13 | -0.00 | 22% | 3 Aug → | |
| dust2 | 13–8 | 0.06 | 12% | 3 Aug → | |
| dust2 | 13–11 | -0.06 | 27% | 2 Aug → | |
| ancient | 16–14 | 0.09 | 18% | 1 Aug → | |
| anubis | 13–2 | -0.01 | 18% | 1 Aug → | |
| mirage | 13–5 | -0.03 | 21% | 14 Jul → | |
| cache | 6–13 | 0.06 | 19% | 7 Jul → | |
| mirage | 8–13 | 0.11 | 18% | 7 Jul → | |
| cache | 5–13 | 0.02 | 44% | 7 Jul → | |
| train | 11–13 | 0.18 | 21% | 7 Jul → | |
| cache | 13–4 | 0.02 | 25% | 7 Jul → | |
| inferno | 6–13 | 0.05 | 24% | 6 Jul → | |
| mirage | 13–6 | 0.01 | 17% | 6 Jul → | |
| ancient | 0–6 | 0.03 | 43% | 6 Jul → | |
| mirage | 13–8 | 0.05 | 9% | 6 Jul → | |
| ancient | 11–13 | 0.00 | 11% | 5 Jul → | |
| overpass | 15–15 | -0.02 | 12% | 5 Jul → | |
| dust2 | 8–13 | 0.02 | 23% | 5 Jul → | |
| anubis | 10–13 | 0.04 | 22% | 4 Jul → | |
| mirage | 15–15 | -0.02 | 15% | 3 Jul → | |
| mirage | 13–10 | 0.08 | 25% | 3 Jul → | |
| anubis | 13–10 | 0.03 | 15% | 3 Jul → | |
| ancient | 10–13 | -0.00 | 15% | 3 Jul → | |
| mirage | 15–15 | 0.03 | 21% | 2 Jul → | |
| nuke | 13–7 | 0.11 | 15% | 2 Jul → | |
| ancient | 13–3 | 0.10 | 31% | 2 Jul → | |
| mirage | 4–13 | 0.01 | 27% | 2 Jul → | |
| ancient | 5–13 | 0.01 | 13% | 2 Jul → | |
| vertigo | 13–6 | 0.00 | 29% | 2 Jul → | |
| mirage | 13–5 | 0.07 | 16% | 1 Jul → | |
| ancient | 13–8 | 0.07 | 32% | 1 Jul → | |
| overpass | 13–4 | 0.08 | 23% | 1 Jul → | |
| overpass | 9–13 | 0.03 | 27% | 1 Jul → | |
| mirage | 13–8 | 0.01 | 11% | 1 Jul → | |
| anubis | 11–13 | -0.01 | 14% | 28 Jun → | |
| inferno | 11–13 | -0.05 | 6% | 24 Jun → | |
| nuke | 9–13 | 0.01 | 16% | 24 Jun → | |
| nuke | 6–13 | 0.07 | 11% | 23 Jun → | |
| mirage | 16–19 | -0.00 | 17% | 23 Jun → | |
| mirage | 13–4 | -0.01 | 9% | 23 Jun → | |
| inferno | 9–13 | -0.00 | 18% | 22 Jun → | |
| dust2 | 13–11 | 0.11 | 23% | 22 Jun → | |
| anubis | 13–8 | 0.03 | 11% | 21 Jun → | |
| mirage | 13–1 | 0.09 | 13% | 21 Jun → | |
| inferno | 16–19 | -0.00 | 12% | 19 Jun → | |
| anubis | 9–13 | -0.01 | 8% | 18 Jun → | |
| mirage | 5–13 | -0.08 | 8% | 18 Jun → | |
| ancient | 2–13 | -0.09 | 15% | 18 Jun → | |
| nuke | 10–13 | 0.03 | 16% | 16 Jun → | |
| dust2 | 13–3 | -0.01 | 25% | 16 Jun → | |
| overpass | 11–13 | -0.02 | 16% | 15 Jun → | |
| inferno | 2–13 | -0.02 | 13% | 14 Jun → | |
| inferno | 3–9 | -0.07 | 50% | 14 Jun → | |
| nuke | 5–9 | -0.05 | 21% | 14 Jun → | |
| dust2 | 11–13 | -0.03 | 26% | 14 Jun → | |
| mirage | 5–1 | -0.04 | 20% | 14 Jun → | |
| mirage | 12–16 | 0.06 | 26% | 14 Jun → | |
| ancient | 13–8 | 0.19 | 28% | 14 Jun → | |
| mirage | 13–10 | 0.02 | 31% | 14 Jun → | |
| vertigo | 13–11 | 0.04 | 21% | 13 Jun → | |
| mirage | 13–16 | 0.01 | 19% | 11 Jun → | |
| nuke | 13–16 | -0.01 | 21% | 10 Jun → | |
| ancient | 10–13 | 0.06 | 21% | 10 Jun → | |
| mirage | 13–6 | 0.00 | 15% | 10 Jun → | |
| cache | 13–8 | 0.02 | 16% | 10 Jun → | |
| dust2 | 13–4 | 0.00 | 20% | 10 Jun → | |
| mirage | 13–11 | 0.04 | 12% | 9 Jun → | |
| mirage | 13–0 | 0.13 | 18% | 9 Jun → | |
| overpass | 13–16 | 0.03 | 14% | 9 Jun → | |
| mirage | 10–13 | -0.06 | 19% | 9 Jun → | |
| mirage | 11–4 | 0.05 | 40% | 8 Jun → | |
| cache | 13–9 | 0.08 | 33% | 8 Jun → | |
| inferno | 13–9 | 0.03 | 21% | 8 Jun → | |
| mirage | 14–16 | -0.03 | 40% | 7 Jun → | |
| nuke | 7–13 | 0.05 | 30% | 7 Jun → | |
| ancient | 8–13 | -0.04 | 9% | 7 Jun → | |
| dust2 | 2–13 | -0.07 | 22% | 7 Jun → | |
| inferno | 1–8 | -0.09 | 0% | 7 Jun → | |
| mirage | 6–13 | -0.05 | 21% | 7 Jun → | |
| cache | 13–9 | 0.00 | 21% | 7 Jun → | |
| overpass | 13–4 | 0.05 | 23% | 6 Jun → | |
| nuke | 13–5 | 0.14 | 19% | 6 Jun → | |
| overpass | 13–8 | 0.05 | 16% | 5 Jun → | |
| mirage | 16–12 | -0.05 | 14% | 5 Jun → | |
| dust2 | 13–8 | 0.10 | 14% | 5 Jun → | |
| mirage | 6–13 | 0.01 | 27% | 5 Jun → | |
| vertigo | 6–9 | -0.07 | 16% | 4 Jun → | |
| inferno | 13–6 | -0.02 | 20% | 4 Jun → | |
| anubis | 5–13 | -0.06 | 25% | 4 Jun → | |
| dust2 | 13–9 | 0.03 | 35% | 4 Jun → | |
| dust2 | 13–6 | -0.03 | 26% | 3 Jun → |
Match data via Leetify.