BAKIM SIKIM — CS2 Stats
76561198409155553[U:1:448889825]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 | 41.2% | 42.7% | 44.0% | 2.8% short |
| Shot accuracy | 14.3% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.00 | 1.00 | 1.03 | 0.03 short |
| Match win rate | 40.4% | 44.1% | 45.1% | 4.7% short |
This profile matches the typical Level 5 player on 1 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 sh1ro 91% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: 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 94 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 36 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.
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 7.1/10 (Strong), 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 | 37 | 18–19 | 49% | 0.01 | |
| C | 21 | 8–13 | 38% | 0.02 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| D | 8 | 2–6 | 25% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.04 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.10 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| poseidon | — | 1 | 0–1 | 0% | -0.11 |
| — | 1 | 1–0 | 100% | 0.19 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 77% | 1.22 | 15.8 |
| Dust2 | 15 | 40% | 0.87 | 14.1 |
| Ancient | 10 | 50% | 1.19 | 14.4 |
| Anubis | 8 | 50% | 0.99 | 14.6 |
| Nuke | 4 | 50% | 0.73 | 9.8 |
| Inferno | 2 | 50% | 0.89 | 19.0 |
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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–3 | 0.26 | 64% | 28 Aug → | ||
| 4–13 | 0.01 | 19% | 28 Aug → | ||
| 13–5 | 0.01 | 22% | 28 Aug → | ||
| 1–13 | -0.01 | 19% | 26 Aug → | ||
| 5–13 | 0.05 | 50% | 26 Aug → | ||
| 8–13 | 0.02 | 35% | 26 Aug → | ||
| 6–13 | -0.08 | 24% | 26 Aug → | ||
| 13–10 | -0.01 | 29% | 26 Aug → | ||
| 3–13 | -0.02 | 33% | 26 Aug → | ||
| 13–6 | 0.02 | 39% | 25 Aug → | ||
| 13–9 | 0.04 | 47% | 24 Aug → | ||
| 13–2 | 0.07 | 36% | 24 Aug → | ||
| 9–3 | -0.01 | 36% | 24 Aug → | ||
| 13–8 | -0.00 | 47% | 22 Aug → | ||
| 7–13 | -0.03 | 34% | 20 Aug → | ||
| 4–13 | 0.05 | 37% | 20 Aug → | ||
| 9–4 | 0.22 | 29% | 19 Aug → | ||
| 13–5 | 0.03 | 33% | 19 Aug → | ||
| 11–13 | 0.02 | 33% | 19 Aug → | ||
| 7–13 | -0.06 | 38% | 19 Aug → | ||
| 10–13 | 0.01 | 36% | 19 Aug → | ||
| 13–8 | 0.00 | 15% | 19 Aug → | ||
| 7–13 | -0.03 | 32% | 19 Aug → | ||
| 9–13 | 0.09 | 43% | 15 Aug → | ||
| 3–13 | -0.02 | 37% | 15 Aug → | ||
| 13–9 | 0.04 | 35% | 15 Aug → | ||
| 10–13 | 0.04 | 30% | 15 Aug → | ||
| 13–8 | -0.03 | 38% | 13 Aug → | ||
| 13–6 | 0.09 | 36% | 13 Aug → | ||
| 13–7 | 0.05 | 15% | 12 Aug → | ||
| 13–8 | 0.02 | 35% | 12 Aug → | ||
| 13–9 | 0.05 | 22% | 12 Aug → | ||
| 9–13 | 0.10 | 35% | 11 Aug → | ||
| 7–13 | 0.04 | 34% | 11 Aug → | ||
| 11–0 | 0.10 | 25% | 10 Aug → | ||
| 13–3 | -0.02 | 20% | 10 Aug → | ||
| 12–12 | 0.06 | 38% | 10 Aug → | ||
| 10–13 | -0.01 | 31% | 9 Aug → | ||
| 6–13 | 0.03 | 30% | 9 Aug → | ||
| 9–13 | -0.05 | 22% | 9 Aug → | ||
| 4–13 | -0.06 | 14% | 9 Aug → | ||
| 2–11 | -0.06 | 56% | 9 Aug → | ||
| 13–2 | 0.09 | 57% | 9 Aug → | ||
| 10–13 | -0.06 | 31% | 9 Aug → | ||
| 13–6 | 0.07 | 28% | 9 Aug → | ||
| 2–8 | -0.01 | 39% | 9 Aug → | ||
| 11–13 | 0.10 | 35% | 8 Aug → | ||
| 4–13 | -0.07 | 27% | 8 Aug → | ||
| 7–13 | 0.01 | 31% | 8 Aug → | ||
| 7–3 | -0.07 | 57% | 8 Aug → | ||
| 13–11 | -0.02 | 39% | 8 Aug → | ||
| 13–11 | 0.01 | 29% | 8 Aug → | ||
| 7–13 | -0.04 | 34% | 8 Aug → | ||
| 4–13 | 0.03 | 68% | 6 Aug → | ||
| 13–9 | -0.01 | 55% | 6 Aug → | ||
| 13–2 | 0.07 | 44% | 3 Aug → | ||
| 13–6 | 0.04 | 32% | 3 Aug → | ||
| 13–6 | 0.12 | 19% | 9 Jul → | ||
| 13–3 | -0.03 | 12% | 9 Jul → | ||
| 4–13 | -0.07 | 20% | 9 Jul → | ||
| 13–8 | -0.10 | 33% | 13 Jun → | ||
| 13–6 | -0.01 | 23% | 3 Jun → | ||
| poseidon | 5–9 | -0.11 | 32% | 1 May → | |
| 2–13 | -0.07 | 27% | 1 May → | ||
| 9–13 | -0.04 | 38% | 20 Apr → | ||
| 4–13 | -0.02 | 17% | 20 Apr → | ||
| 6–13 | -0.03 | 20% | 20 Apr → | ||
| 4–13 | -0.06 | 18% | 14 Apr → | ||
| 9–13 | -0.05 | 50% | 8 Apr → | ||
| 6–13 | 0.04 | 22% | 26 Mar → | ||
| 11–13 | 0.01 | 22% | 26 Mar → | ||
| 13–9 | 0.07 | 22% | 26 Mar → | ||
| 5–13 | -0.07 | 28% | 25 Mar → | ||
| 6–13 | -0.05 | 21% | 20 Mar → | ||
| 13–7 | 0.08 | 29% | 19 Mar → | ||
| 9–13 | 0.00 | 23% | 19 Mar → | ||
| 13–2 | -0.01 | 21% | 19 Mar → | ||
| 16–12 | 0.01 | 16% | 18 Mar → | ||
| 6–13 | -0.05 | 28% | 18 Mar → | ||
| 13–4 | 0.05 | 33% | 18 Mar → | ||
| 4–13 | -0.07 | 13% | 18 Mar → | ||
| 1–13 | -0.11 | 44% | 17 Mar → | ||
| 13–7 | -0.04 | 31% | 17 Mar → | ||
| 13–3 | 0.09 | 34% | 17 Mar → | ||
| 13–8 | 0.06 | 13% | 17 Mar → | ||
| 9–3 | 0.19 | 17% | 17 Mar → | ||
| 8–13 | 0.04 | 20% | 17 Mar → | ||
| 13–10 | 0.06 | 30% | 16 Mar → | ||
| 1–13 | 0.01 | 29% | 15 Mar → | ||
| 13–1 | 0.12 | 26% | 15 Mar → | ||
| 9–13 | -0.09 | 23% | 15 Mar → | ||
| 7–13 | 0.05 | 23% | 14 Mar → | ||
| 13–11 | 0.05 | 24% | 14 Mar → | ||
| 13–4 | 0.03 | 31% | 14 Mar → | ||
| 8–13 | 0.10 | 36% | 14 Mar → | ||
| 4–13 | 0.09 | 33% | 13 Mar → | ||
| 13–9 | 0.16 | 29% | 13 Mar → | ||
| 13–6 | -0.00 | 33% | 13 Mar → | ||
| 2–13 | -0.02 | 23% | 13 Mar → | ||
| 11–13 | 0.04 | 26% | 13 Mar → |
Match data via Leetify.
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