Glover — CS2 Stats

76561198053902149[U:1:93636421]Steam profile ↗✓ No bans

1,441Tracked matches57%Win rate2022Tracked since

CSDB Rating5.3 DevelopingClutch Specialist

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning39

Utility57

0–100 skill scores via Leetify.

Recent form

HOT44–50–6Last 10044%Win rateLTWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.8

Aggression2.5

Utility5.7

Positioning3.9

Opening Duels0.0

Clutch10.0

Effective flashesReliable in 1v1s

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: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 675ms 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

Aim5.8

Positioning3.9

Utility5.7

Mechanics7.9

Opening Duels0.0

Win Impact7.4

Composite 5.3/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time683ms−50ms

first ⅓ avg 732ms → last ⅓ avg 683ms

Headshot accuracy14.8%−4.5%

first ⅓ avg 19.2% → last ⅓ avg 14.8%

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

0.16Best rating — mirage 13–2

13–0Biggest win — cache

9Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 56% over 16nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.02
dust2	A	16	9–7	56%	-0.02
inferno	B	12	6–6	50%	-0.04
anubis	D	11	3–8	27%	-0.02
cache	A	9	5–4	56%	-0.02
ancient	C	8	3–5	38%	-0.02
overpass	C	7	3–4	43%	0.00
vertigo	C	7	3–4	43%	-0.02
nuke	D	7	1–6	14%	-0.03
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

27%Win rate

1.29Avg K/D

111.6ADR

47%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	6	67%	1.63	18.8
Mirage	4	0%	1.01	16.5
Ancient	2	0%	1.26	22.0
Nuke	1	0%	0.69	11.0
Overpass	1	0%	1.33	20.0
Inferno	1	0%	1.06	17.0

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.

14.5%Headshot accuracy

31.8%Accuracy (enemy spotted)

35.6%Spray accuracy

85.8%Counter-strafing

9.3°Preaim

675msReaction time

29.7%T opening success

27.6%CT opening success

0.77Enemies flashed / flash

6.0%Flash assists

10.72HE damage / grenade

7.54Flashes / 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 14.4686% — below the 15% mark we flag
Aim Training →
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 29.7333% — below the 40% mark we flag

Spend your practice time on Nuke

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	-0.08	32%	25 Aug →
dust2	12–12	-0.07	7%	25 Aug →
mirage	13–6	0.01	7%	22 Aug →
dust2	13–11	-0.02	22%	22 Aug →
mirage	13–3	0.01	25%	22 Jun →
cache	13–4	0.00	12%	22 Jun →
overpass	13–11	-0.06	17%	14 Jun →
mirage	13–9	0.07	22%	14 Jun →
inferno	13–7	-0.05	19%	13 Jun →
dust2	13–9	-0.05	24%	7 Jun →
mirage	13–10	0.01	23%	7 Jun →
vertigo	0–13	-0.10	12%	6 Jun →
dust2	13–7	-0.03	16%	30 May →
anubis	8–13	-0.09	9%	30 May →
mirage	13–1	0.03	13%	30 May →
inferno	13–8	-0.01	3%	20 May →
anubis	5–13	-0.09	9%	20 May →
vertigo	9–13	0.03	16%	19 May →
mirage	6–13	-0.01	15%	19 May →
dust2	7–13	-0.01	6%	17 May →
inferno	13–9	-0.00	15%	17 May →
anubis	13–4	0.08	12%	17 May →
overpass	12–12	-0.00	8%	17 May →
mirage	10–13	-0.03	13%	17 May →
nuke	5–13	-0.05	8%	16 May →
cache	11–13	-0.03	20%	16 May →
overpass	13–8	0.01	11%	12 May →
mirage	3–13	-0.05	6%	11 May →
dust2	13–10	0.01	16%	11 May →
cache	10–13	0.02	15%	11 May →
dust2	8–13	-0.03	15%	8 May →
cache	8–2	-0.12	31%	8 May →
anubis	10–13	-0.06	10%	7 May →
mirage	9–13	-0.07	30%	7 May →
mirage	8–13	0.01	12%	5 May →
dust2	13–9	-0.01	14%	5 May →
cache	13–8	0.04	16%	5 May →
cache	8–13	-0.08	15%	4 May →
cache	2–13	-0.07	14%	3 May →
cache	13–0	0.04	7%	3 May →
inferno	4–13	-0.04	10%	3 May →
cache	13–8	0.03	14%	3 May →
anubis	3–13	-0.03	25%	19 Apr →
dust2	13–6	0.05	23%	19 Apr →
mirage	3–13	-0.05	9%	18 Apr →
ancient	3–13	-0.07	12%	18 Apr →
nuke	2–13	-0.06	10%	18 Apr →
mirage	13–6	0.00	16%	15 Apr →
nuke	13–7	0.05	20%	15 Apr →
mirage	13–3	0.11	16%	13 Apr →
nuke	5–13	-0.00	12%	12 Apr →
ancient	13–10	0.02	13%	12 Apr →
nuke	11–13	0.02	16%	11 Apr →
overpass	10–13	0.01	7%	11 Apr →
mirage	13–10	0.04	10%	11 Apr →
anubis	12–12	0.00	9%	11 Apr →
anubis	13–11	0.06	14%	6 Apr →
vertigo	12–12	0.01	19%	6 Apr →
vertigo	5–13	-0.10	9%	4 Apr →
mirage	13–2	0.16	22%	4 Apr →
inferno	3–13	-0.04	0%	4 Apr →
anubis	13–10	-0.07	10%	4 Apr →
dust2	13–6	-0.01	9%	4 Apr →
ancient	12–12	-0.05	22%	2 Apr →
inferno	13–11	-0.04	25%	1 Apr →
dust2	11–13	0.01	23%	29 Mar →
ancient	13–3	-0.02	10%	29 Mar →
overpass	13–4	0.06	17%	29 Mar →
inferno	9–13	-0.03	15%	29 Mar →
mirage	13–8	0.04	14%	29 Mar →
nuke	5–13	-0.10	30%	21 Mar →
ancient	1–13	-0.01	31%	21 Mar →
overpass	11–13	0.01	28%	21 Mar →
dust2	13–3	0.03	29%	21 Mar →
inferno	6–13	-0.06	13%	21 Mar →
mirage	11–13	-0.04	20%	21 Mar →
vertigo	13–10	-0.00	15%	18 Mar →
train	5–13	-0.06	19%	18 Mar →
overpass	9–13	-0.01	11%	18 Mar →
dust2	4–13	-0.06	25%	5 Mar →
mirage	4–13	-0.01	18%	5 Mar →
anubis	7–13	-0.03	24%	5 Mar →
ancient	13–2	0.12	14%	5 Mar →
mirage	6–13	0.03	14%	2 Mar →
vertigo	13–11	-0.01	19%	2 Mar →
inferno	7–13	-0.07	14%	2 Mar →
mirage	4–13	-0.05	25%	1 Mar →
ancient	10–13	-0.10	12%	1 Mar →
dust2	8–13	-0.03	33%	1 Mar →
mirage	10–13	0.10	19%	28 Feb →
nuke	7–13	-0.06	13%	28 Feb →
inferno	13–10	-0.01	24%	28 Feb →
anubis	12–12	0.02	15%	28 Feb →
vertigo	13–10	0.01	23%	21 Feb →
mirage	13–7	0.06	17%	21 Feb →
inferno	13–6	-0.00	14%	21 Feb →
dust2	13–3	0.02	18%	21 Feb →
ancient	10–13	-0.09	14%	7 Feb →
anubis	9–13	-0.03	8%	7 Feb →
dust2	6–13	-0.03	29%	7 Feb →