krissu-- — CS2 Stats
NE76561198133903786[U:1:173638058]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 62.8% | 52.8% |
| Shot accuracy | 10.8% | 13.7% |
| Kill/death ratio | 0.74 | 1.08 |
| Match win rate | 44.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 91% playstyle similarity
Most alike: opening-fight frequency, 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
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 563ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 16–17 | 48% | -0.00 | |
| A | 19 | 11–8 | 58% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| S | 13 | 9–4 | 69% | 0.01 | |
| D | 7 | 2–5 | 29% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| shelter | — | 1 | 1–0 | 100% | 0.03 |
| boulder | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 329 | 51% | 1.09 | 15.5 |
| Ancient | 203 | 55% | 1.10 | 15.3 |
| Dust2 | 168 | 46% | 1.09 | 15.5 |
| Anubis | 117 | 50% | 1.04 | 15.3 |
| Nuke | 90 | 52% | 1.04 | 15.7 |
| Overpass | 47 | 45% | 1.10 | 16.9 |
| Inferno | 37 | 46% | 1.06 | 15.1 |
| Cache | 6 | 50% | 1.44 | 15.5 |
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.
- 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 24.4358% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 16% | 26 Aug → | ||
| 11–13 | -0.03 | 27% | 26 Aug → | ||
| 13–9 | -0.01 | 21% | 25 Aug → | ||
| 13–4 | 0.09 | 14% | 17 Aug → | ||
| 13–8 | -0.01 | 21% | 16 Aug → | ||
| 13–3 | 0.02 | 12% | 8 Aug → | ||
| 13–3 | 0.07 | 27% | 4 Aug → | ||
| 13–7 | 0.05 | 19% | 22 Jul → | ||
| 13–7 | -0.04 | 19% | 21 Jul → | ||
| 7–13 | -0.04 | 24% | 19 Jul → | ||
| 13–11 | -0.00 | 24% | 16 Jul → | ||
| 13–16 | -0.06 | 18% | 15 Jul → | ||
| 13–7 | 0.03 | 21% | 14 Jul → | ||
| shelter | 13–6 | 0.03 | 16% | 13 Jul → | |
| 9–13 | 0.03 | 26% | 13 Jul → | ||
| boulder | 13–7 | -0.03 | 26% | 11 Jul → | |
| 13–10 | 0.04 | 12% | 11 Jul → | ||
| 13–4 | 0.03 | 19% | 10 Jul → | ||
| 13–16 | -0.02 | 17% | 10 Jul → | ||
| 13–10 | -0.01 | 22% | 9 Jul → | ||
| 11–13 | 0.05 | 20% | 4 Jul → | ||
| 16–13 | -0.01 | 16% | 27 Jun → | ||
| 13–9 | -0.05 | 17% | 26 Jun → | ||
| 9–13 | -0.06 | 28% | 26 Jun → | ||
| 13–7 | 0.03 | 15% | 9 Jun → | ||
| 9–13 | -0.03 | 12% | 8 Jun → | ||
| 6–13 | -0.04 | 32% | 3 Jun → | ||
| 13–11 | 0.05 | 15% | 28 May → | ||
| 6–13 | -0.02 | 31% | 26 May → | ||
| 16–12 | -0.02 | 16% | 19 May → | ||
| 6–13 | 0.05 | 23% | 17 May → | ||
| 10–13 | 0.02 | 27% | 8 May → | ||
| 16–19 | -0.03 | 21% | 8 May → | ||
| 13–11 | -0.06 | 23% | 18 Apr → | ||
| 13–16 | 0.02 | 26% | 17 Apr → | ||
| 19–17 | 0.01 | 15% | 16 Apr → | ||
| 6–13 | -0.04 | 24% | 16 Apr → | ||
| 7–13 | -0.05 | 20% | 13 Apr → | ||
| 13–9 | 0.05 | 18% | 9 Apr → | ||
| 13–9 | 0.05 | 21% | 9 Apr → | ||
| 9–13 | 0.02 | 25% | 3 Apr → | ||
| 11–13 | -0.01 | 21% | 2 Apr → | ||
| 16–14 | -0.04 | 20% | 26 Mar → | ||
| 13–16 | -0.01 | 25% | 25 Mar → | ||
| 13–4 | 0.03 | 10% | 24 Mar → | ||
| 13–4 | 0.03 | 18% | 20 Mar → | ||
| 11–13 | -0.01 | 20% | 18 Mar → | ||
| 16–14 | 0.03 | 21% | 14 Mar → | ||
| 13–7 | -0.02 | 28% | 13 Mar → | ||
| 8–13 | -0.01 | 18% | 11 Mar → | ||
| 13–6 | 0.05 | 18% | 10 Mar → | ||
| 13–10 | -0.01 | 21% | 9 Mar → | ||
| 5–13 | 0.03 | 28% | 8 Mar → | ||
| 13–9 | -0.00 | 31% | 27 Feb → | ||
| 13–11 | -0.00 | 14% | 20 Feb → | ||
| 10–13 | 0.02 | 22% | 18 Feb → | ||
| 6–13 | -0.06 | 15% | 13 Feb → | ||
| 16–13 | -0.00 | 15% | 12 Feb → | ||
| 11–13 | 0.03 | 28% | 9 Feb → | ||
| 8–13 | -0.01 | 23% | 31 Jan → | ||
| 8–13 | 0.03 | 38% | 18 Jan → | ||
| 13–9 | 0.05 | 18% | 15 Jan → | ||
| 17–19 | -0.02 | 20% | 9 Jan → | ||
| 13–10 | 0.02 | 21% | 8 Jan → | ||
| 13–7 | 0.04 | 30% | 7 Jan → | ||
| 12–16 | -0.08 | 13% | 29 Dec → | ||
| 11–13 | 0.01 | 16% | 28 Dec → | ||
| 25–23 | -0.02 | 20% | 20 Dec → | ||
| 8–13 | -0.05 | 19% | 19 Dec → | ||
| 13–9 | 0.01 | 9% | 17 Dec → | ||
| 13–9 | 0.01 | 23% | 9 Dec → | ||
| 9–13 | -0.04 | 10% | 8 Dec → | ||
| 10–13 | 0.01 | 11% | 4 Dec → | ||
| 9–2 | 0.19 | 24% | 3 Dec → | ||
| 13–10 | -0.00 | 12% | 1 Dec → | ||
| 13–9 | -0.03 | 21% | 23 Nov → | ||
| 13–10 | -0.03 | 20% | 21 Nov → | ||
| 19–16 | 0.01 | 21% | 20 Nov → | ||
| 14–16 | 0.00 | 12% | 20 Nov → | ||
| 11–13 | -0.06 | 11% | 29 Oct → | ||
| 13–11 | -0.01 | 27% | 27 Oct → | ||
| 12–16 | 0.01 | 19% | 18 Oct → | ||
| 13–8 | 0.02 | 13% | 17 Oct → | ||
| 13–6 | 0.07 | 13% | 13 Oct → | ||
| 13–8 | 0.04 | 32% | 10 Oct → | ||
| 3–13 | -0.07 | 18% | 10 Oct → | ||
| 5–13 | 0.01 | 29% | 8 Oct → | ||
| 7–13 | -0.05 | 13% | 7 Oct → | ||
| 7–13 | -0.03 | 23% | 30 Sept → | ||
| 8–13 | -0.02 | 24% | 29 Sept → | ||
| 5–13 | -0.03 | 23% | 29 Sept → | ||
| 13–6 | 0.03 | 23% | 28 Sept → | ||
| 13–7 | 0.02 | 24% | 25 Sept → | ||
| 5–13 | -0.03 | 33% | 17 Sept → | ||
| 16–13 | 0.03 | 25% | 16 Sept → | ||
| 2–13 | -0.04 | 21% | 16 Sept → | ||
| 11–13 | -0.05 | 18% | 16 Sept → | ||
| 13–16 | 0.00 | 15% | 15 Sept → | ||
| 13–5 | -0.00 | 24% | 15 Sept → | ||
| 7–13 | -0.00 | 33% | 10 Sept → |
Match data via Leetify.