grunkster — CS2 Stats

US76561198289797586[U:1:329531858]Steam profile ↗

1,486Tracked matches56%Win rate2020Tracked since

CSDB Rating5.1 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY43–46–11Last 10043%Win rateWLTLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim4.1

Aggression8.4

Utility6.3

Positioning5.8

Opening Duels3.1

Clutch0.0

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 b1t 85% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 649ms 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

Aim4.1

Positioning5.8

Utility6.3

Mechanics4.8

Opening Duels3.1

Win Impact7.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time650ms−17ms

first ⅓ avg 666ms → last ⅓ avg 650ms

Headshot accuracy21.1%−1.7%

first ⅓ avg 22.9% → last ⅓ avg 21.1%

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

0.45Best rating — vertigo 9–0

13–0Biggest win — overpass

4Longest win streak

4–7In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 6trainWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	15–20	43%	0.01
cache	B	10	5–5	50%	0.01
vertigo	S	6	4–2	67%	0.08
train	D	6	2–4	33%	0.00
shelter	—	4	2–2	50%	0.03
poseidon	—	4	1–3	25%	-0.02
inferno	—	4	2–2	50%	-0.01
overpass	—	4	2–2	50%	-0.01
ancient	—	4	0–4	0%	0.01
warden	—	4	4–0	100%	0.08
fachwerk	—	3	1–2	33%	0.04
anubis	—	3	2–1	67%	-0.00
debris	—	2	0–2	0%	0.02
mirage	—	2	0–2	0%	-0.05
nuke	—	2	1–1	50%	-0.06
office	—	2	0–2	0%	-0.03
boulder	—	1	1–0	100%	-0.03
sanctum	—	1	0–1	0%	0.05
stronghold	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	-0.02
alpine	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

20Matches

45%Win rate

0.91Avg K/D

93.7ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	3	33%	1.14	19.0
Anubis	1	100%	0.89	16.0
Dust2	1	100%	1.43	20.0
Ancient	1	0%	0.59	10.0
Inferno	1	0%	0.59	10.0

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.

20.8%Headshot accuracy

30.2%Accuracy (enemy spotted)

32.2%Spray accuracy

71.5%Counter-strafing

12.7°Preaim

649msReaction time

48.7%T opening success

36.2%CT opening success

0.79Enemies flashed / flash

14.4%Flash assists

10.60HE damage / grenade

5.68Flashes / 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 12.6711° — above the 12° mark we flag
Aim Training →

Spend your practice time on Train

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.00	27%	29 Aug →
dust2	7–13	-0.06	25%	21 Aug →
dust2	12–12	0.08	21%	29 Jul →
dust2	10–13	-0.02	19%	23 Jul →
dust2	6–13	-0.04	18%	23 Jul →
shelter	13–8	0.04	22%	16 Jul →
fachwerk	13–1	0.12	18%	16 Jul →
debris	3–9	-0.01	15%	16 Jul →
fachwerk	11–13	-0.02	27%	16 Jul →
boulder	13–8	-0.03	20%	14 Jul →
mirage	4–13	-0.07	23%	14 Jul →
poseidon	4–9	-0.06	32%	13 Jul →
debris	8–8	0.05	23%	13 Jul →
shelter	12–12	0.03	33%	13 Jul →
inferno	2–9	-0.06	24%	13 Jul →
shelter	5–13	0.00	18%	12 Jul →
dust2	13–8	0.11	31%	10 Jul →
dust2	11–13	-0.03	18%	10 Jul →
shelter	13–6	0.03	17%	10 Jul →
fachwerk	12–12	0.03	14%	10 Jul →
dust2	13–10	-0.00	19%	5 Jul →
dust2	9–13	-0.05	12%	5 Jul →
dust2	12–12	-0.02	27%	4 Jul →
dust2	7–13	-0.04	15%	4 Jul →
dust2	6–13	0.04	22%	1 Jul →
cache	13–10	-0.01	16%	30 Jun →
vertigo	13–4	0.03	24%	30 Jun →
nuke	13–7	0.02	30%	30 Jun →
anubis	13–6	-0.01	20%	30 Jun →
dust2	12–12	0.01	11%	27 Jun →
dust2	13–8	-0.00	17%	26 Jun →
dust2	13–11	0.02	16%	26 Jun →
dust2	13–10	0.05	24%	26 Jun →
vertigo	5–13	0.01	20%	25 Jun →
cache	9–13	0.06	30%	25 Jun →
inferno	2–9	-0.03	47%	25 Jun →
poseidon	7–9	0.02	33%	25 Jun →
sanctum	7–9	0.05	38%	25 Jun →
inferno	9–6	0.02	7%	25 Jun →
vertigo	4–9	-0.07	25%	25 Jun →
train	13–10	-0.05	21%	19 Jun →
dust2	13–3	0.08	20%	15 Jun →
dust2	8–13	-0.01	19%	14 Jun →
dust2	13–7	-0.03	24%	14 Jun →
dust2	13–3	0.04	14%	12 Jun →
dust2	13–6	0.02	28%	12 Jun →
dust2	10–13	-0.02	22%	11 Jun →
poseidon	9–7	0.02	21%	9 Jun →
nuke	2–9	-0.13	13%	9 Jun →
dust2	2–13	0.10	37%	8 Jun →
dust2	13–5	0.04	29%	7 Jun →
dust2	13–8	0.09	24%	7 Jun →
dust2	8–13	0.01	35%	6 Jun →
cache	3–13	0.04	18%	2 Jun →
cache	10–4	0.00	13%	2 Jun →
dust2	12–12	0.02	21%	2 Jun →
mirage	8–13	-0.03	18%	2 Jun →
cache	13–1	0.04	26%	2 Jun →
vertigo	13–11	0.01	25%	2 Jun →
dust2	10–13	-0.03	20%	29 May →
dust2	12–12	-0.03	15%	29 May →
vertigo	9–0	0.45	32%	26 May →
inferno	13–2	0.04	23%	16 May →
dust2	13–9	0.01	27%	16 May →
overpass	13–0	0.08	18%	12 May →
cache	9–13	-0.03	18%	9 May →
cache	13–7	-0.01	23%	8 May →
cache	13–10	-0.05	14%	7 May →
anubis	13–1	0.06	39%	7 May →
cache	9–13	0.05	23%	3 May →
vertigo	13–10	0.02	41%	2 May →
dust2	13–3	-0.00	13%	2 May →
cache	12–12	0.02	15%	29 Apr →
train	6–13	0.02	18%	26 Apr →
poseidon	2–9	-0.04	50%	26 Apr →
stronghold	7–13	-0.03	20%	25 Apr →
ancient	10–13	-0.02	13%	24 Apr →
train	10–13	0.01	31%	24 Apr →
warden	13–11	-0.03	35%	24 Apr →
train	7–13	-0.00	17%	24 Apr →
train	6–13	0.07	16%	22 Apr →
warden	13–5	0.12	21%	21 Apr →
train	13–8	-0.02	22%	21 Apr →
anubis	11–13	-0.05	23%	21 Apr →
office	5–13	-0.11	20%	20 Apr →
overpass	8–13	-0.07	20%	19 Apr →
office	5–13	0.05	46%	17 Apr →
ancient	12–12	0.03	19%	17 Apr →
italy	6–13	-0.02	21%	17 Apr →
dust2	8–13	-0.04	16%	17 Apr →
warden	13–5	0.04	10%	16 Apr →
ancient	11–13	0.01	14%	16 Apr →
alpine	13–3	0.03	13%	15 Apr →
warden	13–6	0.18	28%	15 Apr →
overpass	13–7	-0.03	31%	15 Apr →
dust2	12–12	0.08	20%	15 Apr →
overpass	7–13	-0.01	19%	13 Apr →
ancient	10–13	0.01	25%	11 Apr →
dust2	11–13	-0.04	18%	11 Apr →
dust2	13–6	0.01	23%	11 Apr →