*GodLike — CS2 Stats

LV76561198202361170[U:1:242095442]Steam profile ↗✓ No bans

2,176Tracked matches70%Win rate2021Tracked since

3,817Hours in CS45Hrs last 2 wks

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating13,797Blue band · top ~34.8% of ranked players (population est.)

CSDB Leaderboard#152280 of 248106 tracked

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−597Premier CS Rating · 14,394 → 13,797

Rating over time

Premier CS Rating: 13,797 -2,168 5 Sept – 3 Oct · 18 days played

16,112Peak Premier in tracked matches

19Days played since 2026-09-05

Premier CS Rating

2,168 below peak (15,965)
-2,168 over 30 days · declining
Next: Purple band at 15,000 — 1,203 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-19
Light Blue band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	165	—	—
Win rate	53%	—	—
K/D	0.84	—	—
Headshot %	42%	—	—

Measured 3 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	36.6%	42.0%	44.3%	7.7% short
Shot accuracy	7.5%	9.6%	11.9%	4.4% short
Kill/death ratio	0.88	0.98	1.03	0.15 short
Match win rate	43.8%	43.8%	45.2%	1.4% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim44

Positioning52

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLLWWLLWWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −0.1pp headshot accuracy · −38ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.06
Avg headshot accuracy 11%
Avg reaction 506ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 543ms

Last 20

13–7 · 65% win rate
Avg rating -0.00
Avg headshot accuracy 11%
Avg reaction 562ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim4.4

Utility4.5

Positioning5.2

Opening Duels1.6

Clutch2.2

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.

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 NiKo 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4

Positioning5.2

Utility4.5

Mechanics4.1

Opening Duels3.8

Win Impact10.0

Composite 4.8/10 (Developing), 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 rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time590ms+28ms

first ⅓ avg 562ms → last ⅓ avg 590ms

Headshot accuracy11.4%−3.7%

first ⅓ avg 15.1% → last ⅓ avg 11.4%

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

0.25Best match rating · 2–2 · inferno, 6 Sept →

30%Best headshot accuracy · 6–13 · mirage, 8 Sept →

391msFastest reaction time · 10–13 · inferno, 9 Sept →

13–1Biggest win · ancient, 1 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak

L3Current streak

8–14In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 67% over 15infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	18	6–12	33%	-0.03
nuke	A	16	9–7	56%	-0.03
cache	S	15	10–5	67%	-0.00
ancient	B	13	6–7	46%	-0.01
mirage	C	13	5–8	38%	0.00
inferno	D	13	4–9	31%	0.01
anubis	A	11	7–4	64%	-0.01
boulder	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,507Lifetime kills

0.88K/D

4,044Matches

43.8%Match win rate · Top 50% of Blue band

36.6%Headshot %

7.5%Shot accuracy

9,273MVPs

1,770Hours (in match)

1,938Bombs planted

574Bombs defused

Most-used weapons

AK-4713,180

M4A4 / M4A1-S11,472

AWP9,932

SSG 085,328

P904,112

P2000 / USP-S3,819

Glock-183,451

Desert Eagle2,477

MP72,228

MAC-101,738

Lifetime map wins

8,589dust2

7,912office

4,584inferno

4,012nuke

655vertigo

213train

127cbble

31italy

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

Faceit stats

Combat

62Matches

53%Win rate

0.94Avg K/D

80.9ADR

40%Headshot %

Clutches & streaks

31%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	57%	1.01	12.1
Dust2	13	38%	1.04	16.9
Nuke	8	88%	1.08	15.1
Ancient	7	14%	0.59	10.1
Inferno	6	83%	0.97	13.7
Anubis	4	50%	0.69	8.8
Cache	2	50%	0.71	11.0
Train	1	0%	0.81	13.0

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.

11.4%Headshot accuracy

29.9%Accuracy (enemy spotted)

35.4%Spray accuracy

68.3%Counter-strafing

9.7°Preaim

578msReaction time

53.5%T opening success

36.6%CT opening success

0.45Enemies flashed / flash

4.3%Flash assists

12.97HE damage / grenade

2.80Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.4437% — below the 15% mark we flag
Aim Training →
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 0.4517 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.602% — 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.

31% win rate across 13 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
anubis	5–13	-0.08	16%	3 Oct →
ancient	6–13	-0.06	17%	3 Oct →
mirage	14–16	-0.05	11%	2 Oct →
ancient	13–10	-0.04	2%	2 Oct →
dust2	13–10	-0.06	8%	2 Oct →
dust2	12–16	-0.04	8%	2 Oct →
cache	5–13	-0.05	11%	2 Oct →
mirage	13–11	0.01	12%	2 Oct →
anubis	13–3	0.11	12%	2 Oct →
cache	13–10	0.03	10%	2 Oct →
cache	13–3	0.10	9%	2 Oct →
nuke	13–5	0.04	13%	2 Oct →
cache	7–13	-0.02	15%	1 Oct →
dust2	11–13	-0.01	11%	1 Oct →
cache	13–3	-0.00	7%	1 Oct →
ancient	13–1	0.07	5%	1 Oct →
anubis	13–9	0.01	12%	1 Oct →
nuke	13–6	-0.00	7%	1 Oct →
nuke	13–8	-0.05	15%	1 Oct →
mirage	13–9	0.07	13%	1 Oct →
cache	13–5	0.01	9%	1 Oct →
anubis	13–3	-0.01	20%	1 Oct →
dust2	13–8	-0.00	18%	1 Oct →
inferno	13–8	0.02	19%	1 Oct →
mirage	13–11	0.01	13%	1 Oct →
ancient	13–11	-0.06	16%	1 Oct →
inferno	11–13	0.09	10%	1 Oct →
inferno	13–10	0.05	5%	30 Sept →
anubis	4–13	-0.07	0%	30 Sept →
cache	13–7	0.02	20%	30 Sept →
dust2	10–13	-0.01	9%	30 Sept →
cache	4–13	-0.09	16%	30 Sept →
mirage	14–16	-0.05	7%	30 Sept →
nuke	12–16	-0.04	19%	22 Sept →
inferno	10–13	-0.05	28%	22 Sept →
dust2	13–10	-0.05	12%	22 Sept →
dust2	11–13	0.03	14%	22 Sept →
nuke	2–4	-0.09	11%	20 Sept →
dust2	10–13	-0.10	3%	20 Sept →
ancient	4–13	-0.02	22%	20 Sept →
inferno	5–13	-0.07	10%	20 Sept →
nuke	13–3	0.04	13%	20 Sept →
nuke	3–13	-0.10	17%	19 Sept →
ancient	10–13	-0.07	8%	19 Sept →
cache	14–16	0.02	11%	18 Sept →
mirage	10–13	0.04	15%	18 Sept →
ancient	7–13	-0.03	21%	18 Sept →
anubis	13–11	-0.06	11%	17 Sept →
cache	13–8	-0.03	11%	17 Sept →
mirage	6–13	-0.05	13%	17 Sept →
cache	13–11	-0.10	6%	16 Sept →
dust2	8–13	-0.03	12%	16 Sept →
dust2	13–9	-0.05	9%	15 Sept →
mirage	13–11	0.02	13%	15 Sept →
anubis	13–10	0.01	12%	15 Sept →
ancient	7–13	0.01	23%	12 Sept →
dust2	0–13	-0.06	9%	11 Sept →
boulder	11–13	-0.14	29%	11 Sept →
dust2	8–13	-0.08	16%	11 Sept →
nuke	7–13	-0.03	9%	11 Sept →
cache	8–13	-0.05	12%	11 Sept →
anubis	6–13	-0.03	15%	11 Sept →
inferno	13–7	-0.03	19%	11 Sept →
ancient	8–13	0.03	12%	11 Sept →
nuke	10–13	-0.07	15%	11 Sept →
inferno	10–13	-0.01	7%	10 Sept →
mirage	13–10	0.07	19%	10 Sept →
anubis	13–11	0.02	11%	10 Sept →
cache	13–9	0.06	18%	10 Sept →
nuke	11–13	-0.00	14%	10 Sept →
ancient	13–6	0.09	13%	10 Sept →
mirage	11–13	0.01	15%	10 Sept →
anubis	9–13	-0.05	17%	9 Sept →
nuke	13–3	-0.07	5%	9 Sept →
anubis	13–8	0.04	15%	9 Sept →
ancient	13–6	-0.03	17%	9 Sept →
nuke	9–13	-0.01	8%	9 Sept →
inferno	10–13	-0.05	16%	9 Sept →
dust2	13–3	-0.01	18%	9 Sept →
mirage	14–16	-0.02	11%	9 Sept →
dust2	13–7	0.01	17%	9 Sept →
inferno	6–13	-0.01	10%	8 Sept →
ancient	6–13	-0.09	15%	8 Sept →
inferno	13–2	-0.02	19%	8 Sept →
mirage	6–13	0.04	30%	8 Sept →
nuke	13–9	-0.03	11%	7 Sept →
dust2	14–16	-0.04	15%	6 Sept →
nuke	13–8	-0.03	5%	6 Sept →
ancient	13–9	0.03	10%	6 Sept →
nuke	13–7	-0.05	10%	6 Sept →
cache	13–4	0.06	15%	6 Sept →
inferno	2–2	0.25	18%	6 Sept →
inferno	9–13	-0.01	16%	6 Sept →
dust2	8–13	0.03	16%	6 Sept →
dust2	14–16	-0.08	19%	6 Sept →
mirage	3–13	-0.06	20%	6 Sept →
inferno	3–13	-0.06	13%	6 Sept →
dust2	9–13	-0.06	19%	5 Sept →
cache	13–11	-0.01	15%	5 Sept →
nuke	13–2	0.01	27%	5 Sept →