Glimpsy — CS2 Stats

US76561199257385464[U:1:1297119736]Steam profile ↗✓ No bans

1,094Tracked matches52%Win rate2023Tracked since

1,153Hours in CS1Hrs last 2 wks

CSDB Rating4.9 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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	Level 3 median	Level 4 median	vs Level 4
Headshot rate	40.2%	41.8%	42.7%	2.5% short
Shot accuracy	11.5%	11.9%	10.8%	above
Kill/death ratio	0.98	0.97	1.00	meets
Match win rate	41.1%	43.5%	44.1%	3.0% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning57

Utility19

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateWTTLLWLWLL

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

Player DNA

Aim4.8

Aggression7.4

Utility1.9

Positioning5.7

Opening Duels3.5

Clutch6.0

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 ropz 80% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 698ms 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

Aim4.8

Positioning5.7

Utility1.9

Mechanics7.3

Opening Duels3.5

Win Impact5.6

Composite 4.9/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time685ms+20ms

first ⅓ avg 665ms → last ⅓ avg 685ms

Headshot accuracy17.2%+3.0%

first ⅓ avg 14.2% → last ⅓ avg 17.2%

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

0.20Best rating — nuke 5–0

13–0Biggest win — nuke

7Longest win streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 50% over 52cacheWeakest map · 39% over 36

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	52	26–26	50%	0.01
cache	C	36	14–22	39%	0.02
ancient	—	3	1–2	33%	-0.00
train	—	3	2–1	67%	0.03
mirage	—	2	1–1	50%	0.00
inferno	—	2	0–2	0%	-0.02
anubis	—	1	1–0	100%	-0.03
dust2	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Lifetime stats

27,226Lifetime kills

0.98K/D · Top 50% of Level 3 players

1,965Matches

41.1%Match win rate

40.2%Headshot %

11.5%Shot accuracy

2,721MVPs

551Hours (in match)

1,669Bombs planted

311Bombs defused

Most-used weapons

AK-477,597

M4A4 / M4A1-S4,964

AWP4,738

P2000 / USP-S1,571

Glock-181,116

Desert Eagle1,079

Galil AR634

SG 553466

SSG 08383

FAMAS353

Lifetime map wins

2,572nuke

2,161dust2

1,405vertigo

745train

549inferno

16office

15italy

15safehouse

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

Faceit stats

Combat

12Matches

8%Win rate

0.68Avg K/D

81.0ADR

48%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	3	33%	0.78	12.3
Nuke	2	0%	0.75	12.0
Anubis	2	0%	0.76	10.0
Inferno	2	0%	0.50	10.0
Mirage	1	0%	0.50	8.0
Overpass	1	0%	0.29	4.0
Ancient	1	0%	0.94	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.

17.3%Headshot accuracy

35.1%Accuracy (enemy spotted)

31.8%Spray accuracy

83.0%Counter-strafing

12.6°Preaim

698msReaction time

34.8%T opening success

52.9%CT opening success

0.19Enemies flashed / flash

10.6%Flash assists

8.40HE damage / grenade

1.33Flashes / 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 12.6347° — 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 0.1917 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

39% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–8	0.00	17%	21 Aug →
nuke	12–12	-0.02	17%	21 Aug →
ancient	15–15	0.01	10%	12 Aug →
cache	8–13	0.10	13%	7 Aug →
cache	4–13	-0.02	17%	7 Aug →
cache	2–0	0.00	0%	7 Aug →
nuke	10–13	0.04	19%	4 Aug →
cache	13–6	0.09	10%	4 Aug →
cache	9–13	0.01	20%	4 Aug →
cache	4–13	-0.02	15%	31 Jul →
cache	6–13	0.06	19%	31 Jul →
nuke	11–13	-0.02	18%	29 Jul →
nuke	9–13	-0.03	15%	29 Jul →
nuke	13–11	0.03	19%	28 Jul →
nuke	13–3	-0.01	24%	28 Jul →
nuke	13–6	-0.04	24%	28 Jul →
nuke	2–13	-0.06	43%	28 Jul →
cache	12–12	0.01	18%	28 Jul →
nuke	13–3	0.01	26%	28 Jul →
nuke	7–13	0.06	17%	28 Jul →
nuke	0–13	-0.05	22%	28 Jul →
nuke	13–4	0.04	19%	28 Jul →
nuke	13–6	0.07	16%	28 Jul →
cache	10–2	0.04	11%	28 Jul →
nuke	13–0	0.01	12%	28 Jul →
nuke	13–8	-0.01	9%	27 Jul →
nuke	13–8	-0.06	16%	27 Jul →
cache	13–5	0.03	6%	27 Jul →
nuke	3–13	-0.04	23%	25 Jul →
cache	6–13	-0.01	19%	25 Jul →
cache	13–5	-0.00	14%	23 Jul →
nuke	3–13	-0.06	31%	23 Jul →
cache	13–11	0.02	11%	23 Jul →
cache	10–13	-0.05	19%	22 Jul →
nuke	2–13	-0.05	17%	22 Jul →
cache	13–9	0.09	14%	21 Jul →
train	3–7	0.05	19%	21 Jul →
cache	4–13	0.08	38%	21 Jul →
nuke	4–13	0.02	20%	21 Jul →
ancient	5–13	-0.03	8%	20 Jul →
nuke	13–11	0.07	7%	20 Jul →
nuke	13–6	0.04	15%	20 Jul →
cache	13–4	0.08	29%	20 Jul →
cache	3–13	-0.01	21%	20 Jul →
nuke	9–13	0.02	10%	20 Jul →
nuke	8–13	-0.08	22%	20 Jul →
anubis	13–11	-0.03	5%	19 Jul →
cache	13–11	0.09	15%	19 Jul →
ancient	13–8	0.02	26%	19 Jul →
nuke	8–13	0.06	8%	19 Jul →
cache	13–4	-0.02	39%	19 Jul →
mirage	13–3	0.02	14%	19 Jul →
mirage	2–9	-0.02	9%	17 Jul →
inferno	5–10	-0.04	11%	17 Jul →
inferno	9–13	0.01	6%	16 Jul →
nuke	13–10	0.11	10%	16 Jul →
nuke	12–12	0.02	19%	16 Jul →
nuke	13–10	-0.01	6%	14 Jul →
cache	13–9	0.08	13%	14 Jul →
nuke	13–10	0.03	15%	14 Jul →
cache	11–13	0.02	24%	13 Jul →
nuke	9–13	-0.00	5%	13 Jul →
nuke	5–0	0.20	100%	13 Jul →
cache	13–2	0.12	16%	13 Jul →
train	13–11	0.03	20%	13 Jul →
cache	8–13	0.06	24%	13 Jul →
cache	10–13	0.01	16%	13 Jul →
nuke	12–12	0.13	7%	11 Jul →
nuke	13–6	0.03	14%	11 Jul →
nuke	13–10	-0.06	9%	11 Jul →
nuke	13–6	-0.06	3%	9 Jul →
nuke	13–10	0.07	11%	9 Jul →
nuke	11–13	0.09	16%	9 Jul →
dust2	10–13	0.03	14%	9 Jul →
nuke	5–13	-0.02	21%	9 Jul →
nuke	13–6	0.02	14%	9 Jul →
nuke	7–13	0.01	14%	9 Jul →
cache	12–12	0.01	15%	9 Jul →
cache	12–12	-0.08	7%	7 Jul →
train	13–5	0.03	23%	7 Jul →
nuke	13–2	0.02	15%	7 Jul →
cache	11–13	0.05	16%	7 Jul →
nuke	8–13	-0.00	15%	7 Jul →
cache	4–13	-0.09	10%	7 Jul →
cache	6–13	0.02	7%	7 Jul →
nuke	10–13	-0.02	11%	7 Jul →
nuke	1–6	-0.07	6%	7 Jul →
cache	7–13	0.00	16%	7 Jul →
nuke	11–13	0.10	17%	7 Jul →
cache	1–13	-0.01	29%	7 Jul →
nuke	13–4	0.12	25%	7 Jul →
cache	5–13	-0.06	24%	7 Jul →
cache	13–10	-0.01	13%	7 Jul →
nuke	2–13	-0.01	2%	7 Jul →
nuke	13–10	0.04	14%	7 Jul →
cache	7–13	-0.02	10%	7 Jul →
cache	13–8	0.02	13%	7 Jul →
nuke	13–7	0.05	16%	7 Jul →
nuke	5–1	0.02	19%	7 Jul →
nuke	4–13	0.00	24%	4 Jul →