KNOX🔥 — CS2 Stats

DK76561197962298724[U:1:2032996]Steam profile ↗✓ No bans

705Tracked matches70%Win rate2020Tracked since

CSDB Rating5.9 SolidSupport

CSDB Leaderboard#234540 of 258244 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,875 → 1,875

+4Tracked matches · now 705

0.0ppWin rate · 70.0% → 70.0%

Rating over time

Premier CS Rating: 17,577 +1,507 4 Apr – 19 Jan · 18 days played

Faceit ELO: 1,875 +0 29 Aug – 23 Sept · 2 observations

17,669Peak Premier in tracked matches

1,875Highest Faceit ELO seen on CSDB

77Days played since 2025-03-08

Faceit ELO

At peak — 1,875
0 over 30 days · steady
Next: Level 10 at 2,001 — 126 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-29
Level 8 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim66

Positioning53

Utility70

0–100 skill scores via Leetify.

Recent form

HOT62–37–1Last 10062%Win rateLWWWLWLWWW

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −5.4pp headshot accuracy · −33ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 12%
Avg reaction 492ms

Last 10

7–3 · 70% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 543ms

Last 20

14–6 · 70% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 560ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.6

Utility7.0

Positioning5.3

Opening Duels3.1

Clutch4.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 564ms 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

Aim6.6

Positioning5.3

Utility7.0

Mechanics5.9

Opening Duels2.4

Win Impact10.0

Composite 5.9/10 (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

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time572ms−41ms

first ⅓ avg 613ms → last ⅓ avg 572ms

Headshot accuracy16.2%−0.1%

first ⅓ avg 16.3% → last ⅓ avg 16.2%

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.

Personal bests

0.20Best match rating · 13–7 · mirage, 8 May →

41%Best headshot accuracy · 13–2 · nuke, 6 Apr →

367msFastest reaction time · 7–13 · inferno, 6 Nov →

13–1Biggest win · nuke, 11 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak

12–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 88% over 8infernoWeakest map · 54% over 28

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	15–13	54%	0.01
nuke	S	20	15–5	75%	0.03
mirage	A	20	12–8	60%	0.02
ancient	A	16	10–6	63%	0.01
overpass	S	8	7–1	88%	0.03
anubis	—	4	1–3	25%	-0.01
cache	—	2	1–1	50%	0.01
dust2	—	1	0–1	0%	-0.03
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (54% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,083Matches

51%Win rate

1.34Avg K/D

86.8ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	70	63%	1.27	18.2
Nuke	70	64%	1.32	18.4
Mirage	52	44%	1.05	16.0
Ancient	51	43%	1.09	15.9
Overpass	33	36%	1.11	16.1
Anubis	12	42%	1.00	18.6
Train	9	44%	0.96	13.0
Dust2	6	50%	0.85	15.3

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.

16.1%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.4%Spray accuracy

76.7%Counter-strafing

9.0°Preaim

564msReaction time

35.1%T opening success

44.4%CT opening success

0.80Enemies flashed / flash

6.7%Flash assists

10.97HE damage / grenade

8.65Flashes / match

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 35.1434% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.03	9%	28 Sept →
ancient	13–6	0.03	18%	28 Aug →
inferno	13–11	-0.03	16%	26 Aug →
nuke	13–7	0.05	12%	18 Aug →
inferno	10–13	-0.04	5%	22 Jul →
ancient	13–7	0.06	15%	10 Jul →
cache	3–6	-0.06	11%	10 Jul →
nuke	13–11	-0.02	13%	9 Jul →
inferno	19–17	0.01	16%	7 Jul →
ancient	13–6	-0.04	11%	7 Jul →
cache	13–7	0.09	7%	7 Jul →
nuke	7–13	0.01	27%	5 Jul →
inferno	1–13	-0.00	13%	5 Jul →
inferno	16–13	-0.03	16%	2 Jul →
inferno	13–8	0.05	18%	12 Jun →
nuke	13–5	0.12	18%	11 Jun →
mirage	13–9	0.05	14%	24 May →
mirage	13–6	0.09	33%	13 Apr →
ancient	13–6	0.03	10%	8 Apr →
anubis	7–13	-0.00	24%	7 Apr →
nuke	13–2	0.13	41%	6 Apr →
inferno	8–13	-0.03	17%	5 Apr →
mirage	13–10	0.00	14%	5 Apr →
ancient	13–10	0.00	17%	5 Apr →
dust2	4–13	-0.03	12%	26 Mar →
ancient	13–10	-0.05	12%	21 Mar →
inferno	13–2	-0.05	14%	13 Mar →
mirage	13–2	0.02	10%	13 Mar →
mirage	10–13	-0.04	24%	11 Mar →
ancient	13–8	-0.04	17%	10 Mar →
ancient	11–13	0.01	7%	28 Feb →
overpass	13–10	0.03	24%	17 Feb →
nuke	13–11	-0.01	17%	15 Feb →
nuke	13–1	0.07	27%	11 Feb →
inferno	13–10	-0.01	8%	8 Feb →
inferno	7–13	0.02	11%	26 Jan →
overpass	13–9	-0.03	12%	24 Jan →
anubis	0–13	-0.06	9%	24 Jan →
inferno	13–11	-0.00	18%	21 Jan →
mirage	13–4	0.07	23%	19 Jan →
mirage	11–13	-0.05	0%	15 Jan →
inferno	13–11	-0.02	12%	3 Jan →
inferno	7–13	0.02	29%	29 Dec →
mirage	13–11	0.06	13%	29 Dec →
nuke	13–6	0.01	15%	29 Dec →
mirage	13–8	-0.05	17%	18 Dec →
inferno	7–13	-0.05	18%	6 Nov →
nuke	13–4	-0.03	16%	4 Nov →
inferno	9–13	-0.02	13%	28 Oct →
overpass	13–10	0.05	7%	28 Oct →
mirage	8–13	-0.05	14%	21 Oct →
nuke	13–7	0.00	11%	21 Oct →
nuke	13–6	-0.03	18%	25 Sept →
inferno	13–4	0.06	13%	21 Sept →
nuke	13–5	0.06	17%	18 Sept →
inferno	13–11	0.04	16%	2 Sept →
mirage	13–4	0.03	23%	31 Aug →
train	13–7	0.02	19%	4 Aug →
overpass	13–4	0.09	13%	31 Jul →
inferno	6–13	-0.04	36%	29 Jul →
nuke	13–9	0.07	12%	19 Jul →
mirage	9–13	0.03	13%	18 Jul →
overpass	13–6	0.08	13%	17 Jul →
nuke	0–2	-0.05	0%	17 Jul →
overpass	16–14	0.05	20%	17 Jul →
overpass	9–2	0.01	11%	17 Jul →
mirage	13–8	-0.00	25%	11 Jul →
anubis	13–8	-0.03	12%	10 Jul →
nuke	11–13	-0.02	14%	4 Jul →
mirage	3–13	-0.02	3%	4 Jul →
inferno	10–13	0.00	20%	8 Jun →
nuke	13–6	0.04	22%	6 Jun →
inferno	11–13	-0.01	17%	3 Jun →
ancient	13–4	0.05	23%	28 May →
inferno	13–5	0.07	17%	28 May →
inferno	13–10	0.11	16%	12 May →
inferno	15–15	-0.01	13%	10 May →
mirage	13–7	0.20	21%	8 May →
mirage	8–13	-0.04	13%	7 May →
ancient	9–13	0.10	12%	6 May →
ancient	13–16	-0.04	11%	15 Apr →
mirage	13–6	0.12	23%	14 Apr →
ancient	13–7	0.04	6%	12 Apr →
mirage	3–13	-0.02	18%	12 Apr →
overpass	8–13	-0.02	9%	10 Apr →
ancient	9–13	-0.07	15%	10 Apr →
inferno	13–11	0.08	24%	8 Apr →
inferno	6–13	0.03	10%	7 Apr →
mirage	7–13	-0.01	8%	6 Apr →
ancient	10–13	0.06	12%	6 Apr →
inferno	13–8	0.04	19%	4 Apr →
mirage	13–11	0.02	33%	3 Apr →
nuke	13–16	0.06	25%	3 Apr →
nuke	13–5	0.06	26%	2 Apr →
inferno	13–2	0.08	27%	30 Mar →
nuke	16–14	0.00	13%	12 Mar →
nuke	11–13	-0.03	16%	12 Mar →
inferno	11–13	-0.02	15%	11 Mar →
anubis	12–16	0.04	11%	11 Mar →
ancient	13–10	0.05	13%	8 Mar →