General Kregg — CS2 Stats
KN76561199229395129[U:1:1269129401]Steam profile ↗
Rating over time
Premier CS Rating
- At peak — 11,701
- Next: Purple band at 15,000 — 3,299 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 ropz 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 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 | 29 | 14–15 | 48% | 0.03 | |
| A | 22 | 12–10 | 55% | 0.02 | |
| A | 15 | 9–6 | 60% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| poseidon | — | 3 | 1–2 | 33% | -0.03 |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 0–2 | 0% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.13 | |
| office | — | 1 | 1–0 | 100% | 0.15 |
| warden | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (48% over 29). 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.
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 14.9626% — 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 0.3871 — 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.
48% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.07 | 15% | 3 Jun → | ||
| 13–7 | -0.03 | 13% | 3 Jun → | ||
| 9–13 | 0.03 | 15% | 30 May → | ||
| 4–13 | 0.08 | 16% | 30 May → | ||
| office | 13–5 | 0.15 | 7% | 13 May → | |
| 2–9 | -0.13 | 19% | 10 May → | ||
| 8–8 | -0.03 | 11% | 10 May → | ||
| 9–3 | 0.24 | 11% | 10 May → | ||
| 9–6 | 0.02 | 15% | 10 May → | ||
| 5–9 | 0.06 | 14% | 10 May → | ||
| 9–6 | 0.06 | 10% | 10 May → | ||
| 2–9 | -0.13 | 11% | 10 May → | ||
| 11–13 | 0.11 | 13% | 9 May → | ||
| 0–12 | -0.01 | 20% | 9 May → | ||
| 13–3 | 0.11 | 33% | 9 May → | ||
| 5–13 | -0.06 | 11% | 8 May → | ||
| 11–13 | 0.05 | 16% | 7 May → | ||
| 10–13 | 0.03 | 13% | 7 May → | ||
| poseidon | 1–9 | -0.11 | 14% | 7 May → | |
| 9–5 | 0.19 | 15% | 7 May → | ||
| poseidon | 8–8 | -0.04 | 14% | 7 May → | |
| 8–8 | 0.07 | 19% | 7 May → | ||
| 9–6 | 0.12 | 12% | 7 May → | ||
| 2–9 | -0.13 | 16% | 7 May → | ||
| 9–6 | 0.05 | 11% | 6 May → | ||
| 13–10 | -0.00 | 10% | 6 May → | ||
| 12–12 | -0.03 | 23% | 6 May → | ||
| 13–7 | 0.06 | 19% | 6 May → | ||
| 13–11 | 0.02 | 15% | 5 May → | ||
| warden | 9–5 | 0.01 | 12% | 5 May → | |
| 6–9 | -0.05 | 14% | 3 May → | ||
| 8–8 | 0.09 | 12% | 3 May → | ||
| 5–9 | -0.05 | 11% | 3 May → | ||
| 9–3 | 0.15 | 6% | 3 May → | ||
| 8–8 | 0.15 | 13% | 3 May → | ||
| 6–9 | -0.04 | 14% | 3 May → | ||
| 9–7 | 0.11 | 13% | 3 May → | ||
| poseidon | 9–5 | 0.05 | 11% | 3 May → | |
| 7–9 | 0.01 | 3% | 3 May → | ||
| 8–8 | 0.07 | 13% | 3 May → | ||
| 16–14 | -0.01 | 10% | 3 May → | ||
| 13–8 | 0.02 | 13% | 3 May → | ||
| 16–14 | 0.05 | 18% | 2 May → | ||
| 7–13 | -0.01 | 18% | 2 May → | ||
| 13–9 | -0.00 | 14% | 2 May → | ||
| 3–13 | -0.06 | 6% | 2 May → | ||
| 13–1 | 0.05 | 36% | 2 May → | ||
| 16–12 | -0.03 | 14% | 2 May → | ||
| 13–4 | 0.17 | 9% | 2 May → | ||
| 13–8 | 0.03 | 21% | 1 May → | ||
| 16–14 | 0.04 | 14% | 29 Apr → | ||
| 13–6 | 0.05 | 11% | 29 Apr → | ||
| 13–6 | 0.11 | 16% | 29 Apr → | ||
| 6–13 | -0.05 | 9% | 28 Apr → | ||
| 13–2 | -0.00 | 22% | 28 Apr → | ||
| 13–4 | -0.02 | 20% | 28 Apr → | ||
| 13–4 | -0.01 | 11% | 28 Apr → | ||
| 13–11 | 0.00 | 7% | 27 Apr → | ||
| 13–5 | 0.02 | 6% | 27 Apr → | ||
| 9–13 | 0.14 | 9% | 26 Apr → | ||
| 7–13 | 0.08 | 10% | 26 Apr → | ||
| 5–7 | 0.06 | 14% | 23 Apr → | ||
| 13–11 | -0.01 | 13% | 23 Apr → | ||
| 9–13 | -0.02 | 12% | 23 Apr → | ||
| 10–13 | -0.02 | 9% | 23 Apr → | ||
| 11–13 | 0.02 | 10% | 23 Apr → | ||
| 13–11 | -0.01 | 6% | 22 Apr → | ||
| 13–1 | 0.06 | 19% | 22 Apr → | ||
| 13–7 | 0.05 | 17% | 22 Apr → | ||
| 7–0 | 0.20 | 18% | 22 Apr → | ||
| 9–5 | 0.10 | 0% | 22 Apr → | ||
| 11–13 | 0.05 | 14% | 16 Apr → | ||
| 13–10 | -0.03 | 16% | 16 Apr → | ||
| 9–7 | 0.03 | 18% | 16 Apr → | ||
| 9–5 | -0.04 | 5% | 16 Apr → | ||
| 13–9 | 0.05 | 17% | 12 Apr → | ||
| 13–4 | 0.13 | 16% | 12 Apr → | ||
| 5–13 | -0.02 | 21% | 12 Apr → | ||
| 13–9 | 0.12 | 13% | 11 Apr → | ||
| 10–13 | 0.08 | 16% | 10 Apr → | ||
| 13–7 | 0.01 | 8% | 10 Apr → | ||
| 5–13 | 0.00 | 17% | 9 Apr → | ||
| 11–13 | 0.13 | 10% | 9 Apr → | ||
| 13–6 | 0.13 | 13% | 8 Apr → | ||
| 6–13 | -0.04 | 19% | 8 Apr → | ||
| 10–13 | 0.04 | 3% | 31 Mar → | ||
| 13–8 | 0.00 | 24% | 31 Mar → | ||
| 2–13 | -0.05 | 15% | 31 Mar → | ||
| 13–10 | 0.05 | 13% | 31 Mar → | ||
| 3–13 | -0.03 | 0% | 31 Mar → | ||
| 13–4 | -0.00 | 4% | 31 Mar → | ||
| 1–13 | 0.05 | 13% | 31 Mar → | ||
| 9–13 | 0.06 | 9% | 30 Mar → | ||
| 13–3 | 0.08 | 16% | 29 Mar → | ||
| 14–16 | 0.11 | 24% | 29 Mar → | ||
| 13–10 | 0.02 | 29% | 29 Mar → | ||
| 9–13 | 0.04 | 9% | 29 Mar → | ||
| 13–7 | 0.03 | 24% | 29 Mar → | ||
| 13–10 | 0.02 | 22% | 28 Mar → | ||
| 4–13 | -0.06 | 14% | 27 Mar → |
Match data via Leetify.