knxwledge — CS2 Stats

US76561198059634820[U:1:99369092]Steam profile ↗

5,151Tracked matches43%Win rate2020Tracked since

6,719Hours in CS12Hrs last 2 wks

CSDB Rating3.7 Learning

FaceitLevel 5 · 1,235 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median	Level 6 median	vs Level 6
Headshot rate	52.1%	44.2%	44.9%	above
Shot accuracy	13.9%	11.2%	11.8%	above
Kill/death ratio	0.84	1.04	1.04	0.20 short
Match win rate	42.4%	45.3%	45.3%	2.8% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateLWLWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim4.8

Aggression3.1

Utility4.7

Positioning4.1

Opening Duels1.2

Clutch2.6

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 79% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 622ms 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

Aim4.8

Positioning4.1

Utility4.7

Mechanics5.0

Opening Duels1.2

Win Impact2.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time632ms−13ms

first ⅓ avg 646ms → last ⅓ avg 632ms

Headshot accuracy19.9%−2.3%

first ⅓ avg 22.2% → last ⅓ avg 19.9%

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

0.07Best rating — mirage 13–11

13–2Biggest win — vertigo

6Longest win streak

12–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 60% over 20infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	20	12–8	60%	-0.02
dust2	D	18	5–13	28%	-0.04
anubis	B	15	7–8	47%	-0.02
ancient	A	15	9–6	60%	-0.04
mirage	D	12	3–9	25%	-0.02
cache	C	7	3–4	43%	-0.04
inferno	D	5	1–4	20%	-0.03
overpass	D	5	1–4	20%	0.01
vertigo	—	3	3–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,336Lifetime kills

0.84K/D

9,442Matches

42.4%Match win rate

52.1%Headshot % · Top 25% of Level 5 players

13.9%Shot accuracy · Top 50% of Level 5 players

28,672MVPs

4,746Hours (in match)

9,057Bombs planted

6,237Bombs defused

Most-used weapons

AK-4773,292

M4A4 / M4A1-S40,425

Desert Eagle16,852

P2000 / USP-S12,707

Glock-188,786

MAC-107,198

AWP6,767

Galil AR5,136

MP94,820

FAMAS4,171

Lifetime map wins

15,641inferno

12,602vertigo

11,907nuke

10,433dust2

7,231train

1,011cbble

380office

77lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,453Matches

49%Win rate

0.89Avg K/D

73.6ADR

46%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	260	51%	0.88	14.0
Mirage	237	48%	0.87	14.2
Ancient	236	46%	0.85	14.2
Nuke	194	47%	0.89	14.8
Dust2	185	47%	0.83	14.0
Vertigo	107	57%	1.05	17.3
Overpass	79	46%	0.95	15.8
Inferno	76	50%	0.92	13.9

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.

19.6%Headshot accuracy

30.3%Accuracy (enemy spotted)

34.6%Spray accuracy

72.3%Counter-strafing

11.7°Preaim

622msReaction time

29.7%T opening success

40.0%CT opening success

0.48Enemies flashed / flash

5.0%Flash assists

10.32HE damage / grenade

9.55Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4781 — below the 0.5 mark we flag
Grenade Lineups →
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 29.7262% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.05	24%	18 Aug →
cache	13–9	-0.02	28%	13 Aug →
mirage	8–13	-0.04	19%	11 Aug →
anubis	13–7	-0.05	13%	4 Aug →
anubis	2–13	-0.03	4%	3 Aug →
nuke	9–13	-0.02	21%	3 Aug →
vertigo	4–3	0.02	63%	30 Jul →
anubis	10–13	-0.03	23%	28 Jul →
dust2	10–13	-0.04	27%	27 Jul →
dust2	13–6	-0.02	26%	27 Jul →
dust2	17–19	-0.08	15%	22 Jul →
anubis	9–13	0.00	17%	20 Jul →
nuke	16–13	-0.01	26%	20 Jul →
dust2	11–13	-0.03	21%	19 Jul →
mirage	13–11	-0.01	18%	16 Jul →
cache	9–13	-0.01	29%	13 Jul →
mirage	10–13	-0.07	26%	8 Jul →
cache	4–13	-0.08	16%	8 Jul →
dust2	14–16	-0.05	19%	7 Jul →
anubis	13–7	-0.01	20%	6 Jul →
ancient	16–14	-0.03	9%	5 Jul →
nuke	13–6	-0.02	13%	1 Jul →
nuke	13–4	0.06	17%	29 Jun →
ancient	16–12	-0.05	16%	24 Jun →
inferno	9–13	0.00	27%	24 Jun →
nuke	13–11	-0.06	20%	22 Jun →
mirage	13–8	-0.02	17%	18 Jun →
mirage	10–13	0.01	13%	16 Jun →
ancient	10–13	-0.05	9%	16 Jun →
dust2	7–13	-0.04	19%	10 Jun →
mirage	7–13	-0.06	18%	8 Jun →
nuke	13–9	-0.02	14%	8 Jun →
nuke	13–5	-0.03	10%	7 Jun →
overpass	9–13	0.00	9%	6 Jun →
cache	10–13	-0.05	31%	6 Jun →
anubis	16–13	-0.00	11%	5 Jun →
dust2	13–3	0.00	16%	26 May →
cache	13–5	-0.01	13%	26 May →
mirage	7–13	-0.03	17%	23 May →
inferno	5–13	-0.04	22%	23 May →
anubis	13–7	0.03	33%	22 May →
nuke	10–13	-0.02	31%	19 May →
dust2	9–13	-0.08	25%	19 May →
dust2	7–13	-0.07	19%	17 May →
nuke	6–13	-0.07	9%	14 May →
nuke	13–7	0.01	15%	12 May →
inferno	8–13	-0.05	20%	11 May →
inferno	7–13	-0.04	14%	10 May →
cache	9–13	-0.05	31%	10 May →
anubis	9–13	-0.09	19%	10 May →
dust2	10–13	-0.03	21%	8 May →
overpass	7–13	-0.02	25%	30 Apr →
cache	13–3	-0.03	13%	29 Apr →
dust2	13–11	-0.05	19%	27 Apr →
nuke	13–6	-0.05	14%	26 Apr →
nuke	13–6	0.02	29%	23 Apr →
ancient	3–13	-0.08	13%	21 Apr →
anubis	13–10	-0.00	28%	21 Apr →
nuke	11–13	-0.05	9%	21 Apr →
dust2	2–13	-0.06	21%	20 Apr →
overpass	13–8	0.04	15%	20 Apr →
ancient	13–10	-0.03	19%	19 Apr →
ancient	13–9	-0.03	28%	19 Apr →
anubis	10–13	-0.06	14%	14 Apr →
ancient	13–5	-0.01	13%	7 Apr →
nuke	4–13	-0.03	23%	1 Apr →
overpass	5–13	-0.01	19%	1 Apr →
mirage	13–11	0.07	29%	31 Mar →
nuke	8–13	-0.03	24%	30 Mar →
mirage	8–13	-0.04	16%	25 Mar →
nuke	13–7	-0.03	22%	24 Mar →
inferno	16–14	-0.02	28%	23 Mar →
anubis	8–13	-0.04	18%	23 Mar →
ancient	11–13	-0.05	26%	23 Mar →
dust2	3–12	-0.03	26%	19 Mar →
ancient	9–13	-0.05	11%	18 Mar →
ancient	10–13	-0.08	13%	17 Mar →
dust2	14–16	-0.03	18%	17 Mar →
anubis	13–8	-0.06	23%	15 Mar →
nuke	11–13	0.02	21%	15 Mar →
nuke	13–11	0.02	26%	13 Mar →
ancient	16–14	-0.01	16%	12 Mar →
dust2	13–6	-0.06	35%	11 Mar →
vertigo	13–10	-0.04	15%	10 Mar →
ancient	13–7	-0.02	21%	9 Mar →
ancient	13–11	-0.05	10%	9 Mar →
mirage	14–16	-0.03	30%	9 Mar →
overpass	11–13	0.01	21%	5 Mar →
mirage	6–13	-0.04	12%	5 Mar →
dust2	7–13	-0.09	19%	4 Mar →
anubis	13–9	0.05	19%	2 Mar →
nuke	13–11	-0.01	24%	2 Mar →
nuke	9–13	-0.00	24%	28 Feb →
vertigo	13–2	0.02	26%	24 Feb →
mirage	9–13	0.02	21%	24 Feb →
anubis	11–13	0.05	22%	22 Feb →
ancient	11–13	0.02	23%	22 Feb →
dust2	13–11	0.05	43%	18 Feb →
anubis	10–13	-0.01	28%	15 Feb →
ancient	13–8	0.00	25%	13 Feb →