ゴッドロック — CS2 Stats

76561198900634193[U:1:940368465]✓ No bans

972Tracked matches61%Win rate2020Tracked since

1,770Hours in CS5Hrs last 2 wks

CSDB Rating6.6 SolidPassive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim90

Positioning45

Utility55

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWWLWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim9.0

Aggression4.3

Utility5.5

Positioning4.5

Opening Duels1.4

Clutch5.0

Sharp aimerExcellent counter-strafingStrong 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 92% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 45 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.

T-side openings. Opening success drops from 54% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning4.5

Utility5.5

Mechanics8.8

Opening Duels3.0

Win Impact8.6

Composite 6.6/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time590ms−31ms

first ⅓ avg 621ms → last ⅓ avg 590ms

Headshot accuracy32.9%+9.5%

first ⅓ avg 23.4% → last ⅓ avg 32.9%

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

0.18Best rating — cache 13–0

13–0Biggest win — cache

5Longest win streak

W2Current streak

3–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 63% over 8ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	13–12	52%	-0.00
inferno	B	17	8–9	47%	0.01
dust2	C	12	5–7	42%	0.01
cache	A	10	6–4	60%	0.02
anubis	A	8	5–3	63%	0.02
ancient	C	8	3–5	38%	0.02
nuke	C	5	2–3	40%	0.02
train	—	4	3–1	75%	0.02
overpass	—	4	2–2	50%	-0.01
vertigo	—	3	1–2	33%	0.05
boulder	—	1	1–0	100%	0.03
shelter	—	1	0–1	0%	-0.05
warden	—	1	0–1	0%	-0.01
italy	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,405Lifetime kills

1.25K/D · Top 25% of tracked players

2,257Matches

53.2%Match win rate · Top 10% of tracked players

50.6%Headshot % · Top 50% of tracked players

9.7%Shot accuracy

7,028MVPs

1,005Hours (in match)

1,930Bombs planted

608Bombs defused

Most-used weapons

AK-4714,133

M4A4 / M4A1-S6,992

AWP6,677

Desert Eagle4,361

P2000 / USP-S3,405

Glock-181,861

P2501,061

SSG 081,045

Galil AR909

MP9895

Lifetime map wins

2,810inferno

1,809dust2

1,792nuke

1,100vertigo

819train

212office

132cbble

74italy

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

Faceit stats

Combat

114Matches

61%Win rate

1.29Avg K/D

85.5ADR

51%Headshot %

Clutches & streaks

45%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	43	65%	1.39	16.6
Anubis	15	67%	1.12	17.7
Dust2	12	50%	1.15	18.6
Ancient	10	60%	1.23	18.4
Nuke	7	71%	1.09	18.6
Inferno	6	83%	1.12	17.5
Vertigo	4	25%	1.44	13.8
Overpass	2	50%	2.00	27.0

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.

30.3%Headshot accuracy

39.0%Accuracy (enemy spotted)

41.0%Spray accuracy

89.6%Counter-strafing

10.5°Preaim

607msReaction time

17.5%T opening success

53.7%CT opening success

0.55Enemies flashed / flash

6.4%Flash assists

8.03HE damage / grenade

9.86Flashes / 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 17.4713% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	0.07	43%	23 Aug →
train	13–9	-0.00	22%	23 Aug →
cache	3–13	-0.06	34%	13 Aug →
boulder	13–8	0.03	19%	13 Aug →
inferno	13–8	-0.03	15%	12 Aug →
anubis	13–10	0.04	21%	7 Aug →
inferno	9–13	0.02	25%	7 Aug →
mirage	13–2	0.06	24%	6 Aug →
inferno	2–13	-0.05	21%	6 Aug →
mirage	13–9	0.04	20%	5 Aug →
dust2	3–13	0.05	21%	5 Aug →
cache	13–4	-0.04	39%	31 Jul →
mirage	2–13	-0.06	29%	31 Jul →
mirage	13–4	0.02	52%	26 Jul →
anubis	13–6	0.02	19%	26 Jul →
nuke	5–13	0.07	22%	20 Jul →
shelter	1–13	-0.05	19%	17 Jul →
mirage	13–8	0.02	37%	14 Jul →
ancient	1–8	-0.07	100%	4 Jul →
mirage	13–5	0.02	38%	4 Jul →
cache	13–9	-0.04	55%	2 Jul →
nuke	13–4	-0.01	22%	2 Jul →
dust2	11–13	-0.03	21%	2 Jul →
inferno	12–12	0.10	29%	24 Jun →
inferno	8–13	-0.04	43%	22 Jun →
train	11–13	-0.01	32%	22 Jun →
dust2	13–10	0.05	27%	19 Jun →
inferno	13–4	0.05	50%	14 Jun →
dust2	13–9	-0.00	28%	14 Jun →
dust2	12–12	-0.02	26%	13 Jun →
mirage	5–1	-0.11	100%	13 Jun →
warden	12–12	-0.01	13%	11 Jun →
italy	13–4	0.05	18%	11 Jun →
cache	3–13	-0.07	21%	11 Jun →
inferno	13–6	0.02	23%	11 Jun →
vertigo	9–13	0.02	40%	8 Jun →
nuke	3–13	-0.02	30%	8 Jun →
mirage	13–11	-0.03	15%	8 Jun →
dust2	13–1	0.02	39%	7 Jun →
mirage	12–12	-0.07	16%	7 Jun →
dust2	11–13	0.00	27%	7 Jun →
mirage	13–7	0.00	38%	6 Jun →
mirage	10–13	-0.01	29%	6 Jun →
ancient	13–6	0.13	28%	6 Jun →
inferno	13–4	0.03	26%	6 Jun →
anubis	12–3	-0.00	58%	5 Jun →
nuke	13–8	-0.00	26%	5 Jun →
mirage	13–9	-0.01	47%	4 Jun →
mirage	4–13	-0.01	27%	4 Jun →
dust2	9–13	-0.02	50%	2 Jun →
inferno	13–7	0.03	7%	26 May →
dust2	13–6	0.06	56%	26 May →
vertigo	11–13	0.06	32%	21 May →
train	13–2	0.10	33%	21 May →
vertigo	13–4	0.08	20%	19 May →
mirage	12–16	0.02	21%	17 May →
cache	13–7	0.06	14%	12 May →
cache	13–0	0.18	19%	12 May →
mirage	11–13	0.02	17%	6 May →
mirage	13–5	0.05	33%	6 May →
cache	13–10	0.09	43%	6 May →
dust2	4–13	-0.02	20%	6 May →
cache	10–13	0.02	32%	28 Apr →
cache	8–13	-0.02	22%	28 Apr →
mirage	2–13	0.01	21%	27 Apr →
mirage	16–13	0.06	31%	25 Apr →
ancient	9–13	0.04	22%	23 Apr →
inferno	10–13	0.02	23%	23 Apr →
anubis	5–13	0.00	11%	16 Apr →
anubis	13–10	0.02	36%	16 Apr →
inferno	13–7	0.02	30%	15 Apr →
inferno	13–6	0.06	24%	13 Apr →
mirage	13–9	0.02	17%	12 Apr →
mirage	13–8	0.01	19%	9 Apr →
mirage	12–12	-0.05	19%	9 Apr →
overpass	13–5	0.03	27%	9 Apr →
ancient	3–13	0.01	31%	9 Apr →
dust2	13–16	-0.00	25%	9 Apr →
mirage	6–13	-0.05	27%	9 Apr →
anubis	14–16	0.02	27%	5 Apr →
inferno	5–13	-0.05	29%	2 Apr →
dust2	16–13	0.02	20%	2 Apr →
train	13–6	-0.02	22%	21 Mar →
inferno	13–7	0.11	17%	21 Mar →
anubis	13–11	0.02	29%	18 Mar →
mirage	5–13	0.03	31%	16 Mar →
ancient	13–11	0.03	15%	16 Mar →
ancient	8–13	0.03	20%	15 Mar →
mirage	6–13	-0.06	24%	14 Mar →
nuke	13–16	0.06	23%	14 Mar →
inferno	2–9	-0.05	17%	14 Mar →
mirage	11–13	0.01	22%	13 Mar →
overpass	9–13	-0.08	24%	12 Mar →
ancient	1–9	-0.01	30%	12 Mar →
inferno	15–15	0.00	31%	11 Mar →
anubis	15–15	0.07	19%	11 Mar →
overpass	7–13	0.01	22%	10 Mar →
inferno	11–13	0.01	24%	9 Mar →
ancient	13–10	-0.00	20%	9 Mar →
overpass	13–10	0.01	21%	8 Mar →