Борис Ким — CS2 Stats
76561198046954178[U:1:86688450]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 43.3% | 42.5% | 44.2% | 0.9% short |
| Shot accuracy | 13.4% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.13 | 0.99 | 1.04 | above |
| Match win rate | 41.8% | 44.2% | 45.3% | 3.5% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.00 avg rating
Player DNA
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 63% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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
Areas to improve
T-side openings. Opening success drops from 27% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 594ms 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 3.3/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 20 | 9–11 | 45% | -0.02 | |
| A | 19 | 11–8 | 58% | -0.04 | |
| S | 15 | 10–5 | 67% | -0.03 | |
| D | 12 | 3–9 | 25% | -0.05 | |
| office | C | 10 | 4–6 | 40% | -0.02 |
| A | 10 | 6–4 | 60% | -0.04 | |
| S | 5 | 4–1 | 80% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.04 | |
| poseidon | — | 2 | 1–1 | 50% | -0.05 |
| — | 2 | 1–1 | 50% | -0.07 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| alpine | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 12). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 6 | 67% | 0.80 | 14.8 |
| Ancient | 4 | 25% | 0.64 | 11.0 |
| Vertigo | 4 | 0% | 0.54 | 10.5 |
| Mirage | 4 | 100% | 0.54 | 7.5 |
| Inferno | 2 | 50% | 0.46 | 8.0 |
| Nuke | 2 | 100% | 1.20 | 12.5 |
| Overpass | 1 | 0% | 0.94 | 16.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 11.5167% — below the 15% 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 0.4534 — 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 11.8814% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.07 | 15% | 18 Jul → | ||
| 5–13 | -0.04 | 0% | 18 Jul → | ||
| office | 3–13 | -0.04 | 17% | 18 Jul → | |
| 5–13 | -0.02 | 17% | 11 Jul → | ||
| 11–13 | 0.01 | 5% | 11 Jul → | ||
| 0–5 | -0.05 | 0% | 11 Jul → | ||
| 13–8 | -0.02 | 8% | 20 Jun → | ||
| 6–13 | -0.05 | 8% | 20 Jun → | ||
| 11–13 | -0.05 | 20% | 20 Jun → | ||
| 4–13 | -0.05 | 9% | 6 Jun → | ||
| 6–13 | -0.04 | 17% | 6 Jun → | ||
| 13–5 | -0.02 | 12% | 6 Jun → | ||
| poseidon | 5–9 | -0.07 | 21% | 29 May → | |
| poseidon | 9–5 | -0.03 | 12% | 29 May → | |
| 16–13 | -0.05 | 9% | 27 May → | ||
| 13–11 | -0.05 | 12% | 25 May → | ||
| 12–12 | -0.08 | 5% | 25 May → | ||
| office | 5–10 | -0.01 | 7% | 25 May → | |
| 8–13 | -0.03 | 19% | 18 May → | ||
| 13–6 | -0.03 | 6% | 18 May → | ||
| 11–13 | -0.07 | 12% | 17 May → | ||
| 8–13 | -0.06 | 14% | 10 May → | ||
| 12–12 | 0.01 | 18% | 4 May → | ||
| office | 13–5 | -0.04 | 6% | 4 May → | |
| 5–13 | -0.07 | 7% | 4 May → | ||
| 9–3 | -0.04 | 33% | 4 May → | ||
| 3–13 | -0.10 | 17% | 4 May → | ||
| 8–13 | -0.08 | 14% | 3 May → | ||
| 13–5 | -0.02 | 17% | 3 May → | ||
| 5–13 | -0.12 | 13% | 3 May → | ||
| 13–8 | -0.07 | 4% | 3 May → | ||
| 13–8 | -0.04 | 7% | 3 May → | ||
| 13–9 | 0.01 | 6% | 2 May → | ||
| 13–3 | -0.05 | 19% | 2 May → | ||
| 13–9 | -0.03 | 17% | 2 May → | ||
| 13–9 | -0.00 | 4% | 25 Apr → | ||
| 10–5 | -0.03 | 6% | 25 Apr → | ||
| 9–13 | -0.08 | 5% | 25 Apr → | ||
| 13–4 | 0.02 | 4% | 24 Apr → | ||
| 7–13 | -0.05 | 13% | 19 Apr → | ||
| 13–8 | 0.03 | 2% | 19 Apr → | ||
| 12–12 | -0.05 | 15% | 19 Apr → | ||
| 1–13 | 0.01 | 8% | 19 Apr → | ||
| 13–5 | -0.04 | 10% | 18 Apr → | ||
| 13–10 | -0.03 | 15% | 18 Apr → | ||
| 13–1 | -0.06 | 11% | 18 Apr → | ||
| 5–13 | -0.04 | 19% | 14 Apr → | ||
| 13–7 | -0.03 | 26% | 14 Apr → | ||
| 14–16 | -0.09 | 3% | 12 Apr → | ||
| 13–4 | -0.03 | 15% | 12 Apr → | ||
| 13–1 | 0.07 | 0% | 12 Apr → | ||
| 13–8 | -0.02 | 10% | 12 Apr → | ||
| 6–2 | -0.01 | 8% | 12 Apr → | ||
| 13–5 | -0.04 | 6% | 11 Apr → | ||
| 13–6 | 0.02 | 14% | 11 Apr → | ||
| 13–6 | 0.05 | 26% | 7 Apr → | ||
| 0–2 | -0.14 | 0% | 7 Apr → | ||
| 7–13 | -0.05 | 5% | 7 Apr → | ||
| 13–6 | -0.05 | 19% | 7 Apr → | ||
| 4–13 | -0.09 | 12% | 6 Apr → | ||
| 10–3 | -0.08 | 5% | 5 Apr → | ||
| 13–7 | -0.12 | 12% | 5 Apr → | ||
| 15–15 | -0.09 | 14% | 15 Mar → | ||
| 13–6 | -0.08 | 26% | 15 Mar → | ||
| office | 10–13 | 0.01 | 22% | 14 Mar → | |
| alpine | 13–4 | -0.01 | 11% | 14 Mar → | |
| office | 13–7 | -0.05 | 21% | 8 Mar → | |
| 13–8 | 0.01 | 5% | 8 Mar → | ||
| 10–13 | -0.07 | 8% | 28 Feb → | ||
| 6–13 | -0.01 | 15% | 28 Feb → | ||
| 13–7 | -0.02 | 9% | 19 Dec → | ||
| 2–13 | -0.07 | 10% | 19 Dec → | ||
| 12–12 | -0.03 | 13% | 17 Dec → | ||
| 13–9 | -0.03 | 7% | 17 Dec → | ||
| 8–13 | -0.02 | 13% | 17 Dec → | ||
| 9–13 | -0.05 | 16% | 16 Dec → | ||
| office | 13–11 | -0.09 | 12% | 16 Dec → | |
| 13–4 | -0.01 | 21% | 16 Dec → | ||
| 13–1 | -0.04 | 19% | 16 Dec → | ||
| office | 13–9 | -0.00 | 10% | 15 Dec → | |
| 13–6 | 0.01 | 12% | 15 Dec → | ||
| 4–13 | 0.01 | 22% | 15 Dec → | ||
| 13–6 | 0.00 | 8% | 15 Dec → | ||
| 13–6 | 0.10 | 20% | 15 Dec → | ||
| 13–10 | -0.07 | 6% | 14 Dec → | ||
| 5–13 | -0.05 | 14% | 13 Dec → | ||
| 2–13 | -0.02 | 12% | 13 Dec → | ||
| 13–8 | 0.01 | 8% | 13 Dec → | ||
| 13–8 | -0.00 | 8% | 13 Dec → | ||
| 7–9 | -0.13 | 9% | 13 Dec → | ||
| 13–8 | 0.01 | 22% | 13 Dec → | ||
| 11–13 | -0.02 | 12% | 11 Dec → | ||
| office | 11–13 | -0.04 | 12% | 9 Dec → | |
| 13–6 | 0.09 | 8% | 8 Dec → | ||
| office | 12–12 | 0.04 | 12% | 8 Dec → | |
| 9–13 | -0.02 | 22% | 6 Dec → | ||
| 7–1 | 0.01 | 40% | 6 Dec → | ||
| 13–9 | 0.00 | 9% | 6 Dec → | ||
| office | 7–13 | -0.02 | 16% | 6 Dec → | |
| 4–13 | 0.03 | 15% | 6 Dec → |
Match data via Leetify.