goobs — CS2 Stats

76561199287224008[U:1:1326958280]Steam profile ↗✓ No bans

3,565Tracked matches54%Win rate2022Tracked since

CSDB Rating5.0 DevelopingPositional Player

Premier CS Rating8,687Light Blue band · top ~61.2% of ranked players (population est.)

CSDB Leaderboard#192255 of 260022 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,687 +3,105 30 Aug – 27 Oct · 6 days played

Faceit ELO: 1,027 +0 30 Aug – 19 Sept · 4 observations

8,806Peak Premier in tracked matches

1,027Highest Faceit ELO seen on CSDB

22Days played since 2026-08-30

Premier CS Rating

At peak — 8,687
Next: Blue band at 10,000 — 1,313 to go
Reached: Light Blue band
Light Blue band first seen 2026-08-30

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

Aim61

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateLLWWLWLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · −19ms reaction

Win rate −10pp 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

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 15%
Avg reaction 578ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 548ms

Last 20

11–9 · 55% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 557ms

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 (+2.1 against its own average).

Aim6.1

Utility4.2

Positioning6.3

Opening Duels3.1

Clutch3.0

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 iM 85% 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

Reaction time. 585ms 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

Aim6.1

Positioning6.3

Utility4.2

Mechanics4.6

Opening Duels5.0

Win Impact6.2

Composite 5.0/10 (Developing), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time581ms−44ms

first ⅓ avg 625ms → last ⅓ avg 581ms

Headshot accuracy23.3%−1.3%

first ⅓ avg 24.6% → last ⅓ avg 23.3%

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

0.17Best match rating · 13–5 · office, 1 Nov →

52%Best headshot accuracy · 13–5 · train, 26 Oct →

344msFastest reaction time · 3–9 · overpass, 3 Nov →

13–0Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

3–3In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5vertigoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	44	18–26	41%	0.04
cache	A	11	6–5	55%	0.00
vertigo	C	10	4–6	40%	0.00
mirage	B	10	5–5	50%	0.02
office	B	6	3–3	50%	0.08
ancient	S	5	4–1	80%	0.05
inferno	—	3	3–0	100%	0.11
train	—	3	2–1	67%	0.02
dust2	—	3	1–2	33%	0.03
overpass	—	2	1–1	50%	-0.03
anubis	—	2	1–1	50%	0.00
shelter	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

86Matches

41%Win rate

0.79Avg K/D

73.0ADR

57%Headshot %

Clutches & streaks

35%1v1 clutch win

15%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	22	27%	0.69	13.4
Nuke	17	53%	0.87	13.3
Mirage	16	44%	0.83	14.6
Ancient	9	56%	0.91	13.8
Dust2	5	20%	0.61	10.4
Vertigo	4	25%	0.96	20.5
Anubis	3	67%	0.62	9.7
Biome	2	100%	0.88	15.0

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.

22.8%Headshot accuracy

36.0%Accuracy (enemy spotted)

36.4%Spray accuracy

70.5%Counter-strafing

13.0°Preaim

585msReaction time

54.4%T opening success

45.8%CT opening success

0.44Enemies flashed / flash

9.9%Flash assists

11.35HE damage / grenade

8.28Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0279° — above the 12° 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 0.4413 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Vertigo

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	1–6	0.13	12%	4 Nov →
nuke	7–13	0.02	19%	3 Nov →
cache	13–5	0.03	12%	3 Nov →
vertigo	13–10	-0.01	12%	3 Nov →
vertigo	9–13	0.02	19%	3 Nov →
mirage	13–10	0.00	27%	3 Nov →
overpass	3–9	-0.13	18%	3 Nov →
inferno	9–0	0.15	30%	3 Nov →
cache	7–13	-0.06	30%	3 Nov →
train	13–10	0.09	15%	3 Nov →
nuke	13–6	0.16	22%	3 Nov →
vertigo	8–13	-0.06	15%	2 Nov →
nuke	7–13	-0.06	23%	2 Nov →
cache	13–4	0.02	21%	2 Nov →
vertigo	13–8	0.09	22%	2 Nov →
mirage	4–13	-0.02	18%	2 Nov →
office	6–13	0.02	20%	1 Nov →
office	13–5	0.17	34%	1 Nov →
office	4–0	0.11	38%	1 Nov →
nuke	13–10	-0.00	19%	28 Oct →
nuke	12–12	0.01	41%	27 Oct →
anubis	9–13	0.00	18%	27 Oct →
nuke	13–6	0.02	14%	27 Oct →
mirage	13–4	0.10	28%	26 Oct →
mirage	13–7	0.04	10%	26 Oct →
cache	13–11	-0.03	10%	26 Oct →
vertigo	5–13	-0.01	32%	26 Oct →
shelter	5–13	0.00	35%	26 Oct →
train	13–5	0.07	52%	26 Oct →
nuke	12–12	0.13	31%	26 Oct →
nuke	7–13	-0.05	25%	25 Oct →
nuke	8–13	0.07	26%	25 Oct →
office	12–12	-0.00	20%	25 Oct →
nuke	5–13	-0.09	5%	25 Oct →
nuke	13–11	0.05	21%	25 Oct →
nuke	12–12	-0.08	25%	25 Oct →
dust2	12–12	-0.04	18%	24 Oct →
nuke	13–0	0.16	35%	24 Oct →
ancient	13–6	0.16	17%	24 Oct →
office	11–13	0.13	24%	24 Oct →
nuke	13–8	0.14	24%	24 Oct →
nuke	8–13	0.04	39%	24 Oct →
nuke	8–13	0.14	31%	23 Oct →
office	13–5	0.05	30%	23 Oct →
nuke	12–12	-0.00	27%	23 Oct →
mirage	5–13	0.07	18%	22 Oct →
nuke	13–6	0.07	22%	22 Oct →
mirage	6–13	0.01	14%	22 Oct →
nuke	9–13	0.01	13%	21 Oct →
nuke	13–4	0.07	28%	21 Oct →
cache	9–13	0.02	27%	21 Oct →
nuke	12–12	-0.04	25%	20 Oct →
nuke	13–2	-0.04	21%	20 Oct →
nuke	13–9	0.08	22%	20 Oct →
nuke	10–13	0.00	15%	20 Oct →
cache	13–9	0.15	24%	20 Oct →
mirage	0–13	-0.10	13%	20 Oct →
overpass	13–9	0.06	27%	20 Oct →
ancient	6–13	-0.02	16%	18 Oct →
anubis	13–9	0.00	20%	18 Oct →
vertigo	13–8	0.05	26%	18 Oct →
ancient	13–8	0.06	29%	18 Oct →
cache	13–10	0.06	35%	18 Oct →
dust2	13–6	0.07	25%	17 Oct →
nuke	10–13	-0.05	11%	16 Oct →
nuke	13–2	0.11	16%	16 Oct →
nuke	13–5	0.02	17%	14 Oct →
nuke	7–13	-0.01	17%	14 Oct →
nuke	8–13	0.08	27%	14 Oct →
inferno	9–4	0.04	36%	13 Oct →
nuke	13–6	0.09	15%	13 Oct →
nuke	5–13	-0.01	20%	13 Oct →
vertigo	13–8	0.05	29%	13 Oct →
nuke	13–7	-0.02	26%	13 Oct →
inferno	13–9	0.13	22%	13 Oct →
dust2	4–13	0.04	25%	13 Oct →
cache	10–13	-0.03	21%	12 Oct →
vertigo	10–13	-0.04	34%	12 Oct →
train	4–13	-0.11	7%	12 Oct →
ancient	13–8	0.01	13%	12 Oct →
vertigo	6–13	-0.07	33%	12 Oct →
cache	13–7	-0.01	22%	12 Oct →
nuke	12–12	0.03	34%	12 Oct →
nuke	13–11	0.12	25%	12 Oct →
nuke	10–13	-0.03	35%	11 Oct →
nuke	13–8	-0.04	22%	11 Oct →
nuke	11–13	-0.03	21%	11 Oct →
nuke	12–12	0.09	22%	10 Oct →
nuke	6–13	-0.01	25%	10 Oct →
mirage	13–9	0.08	27%	10 Oct →
mirage	11–13	-0.01	27%	10 Oct →
nuke	7–13	0.06	27%	10 Oct →
nuke	7–13	0.09	37%	10 Oct →
nuke	13–7	0.08	29%	10 Oct →
nuke	13–9	0.06	31%	10 Oct →
mirage	13–3	0.01	22%	10 Oct →
vertigo	9–13	0.01	23%	9 Oct →
ancient	13–5	0.03	20%	9 Oct →
cache	3–13	-0.06	17%	9 Oct →
cache	12–12	-0.04	21%	9 Oct →