glacr — CS2 Stats

76561198077355628[U:1:117089900]

408Tracked matches53%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating23,337Top 50% of 819 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility60

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateLWLWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression7.7

Utility6.0

Positioning6.1

Opening Duels3.8

Clutch2.6

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 95% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8

Positioning6.1

Utility6.0

Mechanics8.7

Opening Duels3.8

Win Impact6.1

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time550ms−47ms

first ⅓ avg 597ms → last ⅓ avg 550ms

Headshot accuracy21.1%−1.2%

first ⅓ avg 22.3% → 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

0.17Best rating — mirage 13–2

13–1Biggest win — ancient

6Longest win streak

10–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 63% over 8dust2Weakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	17–14	55%	0.02
anubis	B	20	9–11	45%	0.02
inferno	B	13	7–6	54%	0.00
ancient	B	13	7–6	54%	0.00
dust2	C	12	5–7	42%	0.02
cache	A	8	5–3	63%	0.01
vertigo	—	2	1–1	50%	-0.06
nuke	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches

47%Win rate

1.13Avg K/D

80.5ADR

55%Headshot %

Clutches & streaks

33%1v1 clutch win

14%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	58%	1.27	18.2
Anubis	16	25%	1.11	18.2
Inferno	6	50%	1.02	13.8
Dust2	6	50%	0.89	15.5
Ancient	4	75%	1.24	20.8
Cache	4	50%	1.23	16.8
Vertigo	2	50%	0.70	12.0

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.

21.9%Headshot accuracy

38.8%Accuracy (enemy spotted)

43.6%Spray accuracy

89.3%Counter-strafing

10.4°Preaim

542msReaction time

37.3%T opening success

52.8%CT opening success

0.65Enemies flashed / flash

5.8%Flash assists

9.35HE damage / grenade

16.24Flashes / 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
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 37.2551% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	-0.05	23%	25 Aug →
mirage	16–14	0.07	23%	25 Aug →
dust2	3–13	0.01	15%	21 Aug →
mirage	13–5	0.00	16%	21 Aug →
anubis	11–13	0.07	36%	21 Aug →
mirage	16–12	0.07	35%	19 Aug →
inferno	13–9	0.02	34%	19 Aug →
ancient	13–11	-0.03	23%	19 Aug →
ancient	19–15	0.04	21%	19 Aug →
mirage	13–8	0.04	15%	15 Aug →
dust2	13–9	0.02	25%	15 Aug →
ancient	9–13	-0.01	17%	15 Aug →
mirage	16–13	0.06	22%	14 Aug →
dust2	16–14	0.01	17%	14 Aug →
dust2	6–13	-0.03	26%	14 Aug →
dust2	5–13	-0.03	25%	14 Aug →
anubis	13–6	0.09	18%	12 Aug →
mirage	6–13	0.00	24%	12 Aug →
anubis	11–13	0.03	23%	12 Aug →
anubis	9–13	0.05	15%	12 Aug →
anubis	13–16	0.00	21%	10 Aug →
mirage	13–11	-0.02	29%	9 Aug →
vertigo	2–13	-0.10	19%	7 Aug →
dust2	11–13	0.03	18%	7 Aug →
anubis	13–8	0.01	17%	7 Aug →
anubis	8–13	0.01	11%	7 Aug →
mirage	13–11	0.09	22%	7 Aug →
mirage	6–13	-0.02	16%	7 Aug →
mirage	13–11	0.05	27%	7 Aug →
mirage	13–2	0.12	14%	7 Aug →
anubis	13–5	-0.03	9%	7 Aug →
inferno	1–13	-0.08	26%	6 Aug →
mirage	9–13	0.04	14%	6 Aug →
vertigo	13–11	-0.02	22%	6 Aug →
cache	13–7	0.04	32%	5 Aug →
mirage	13–6	0.00	21%	5 Aug →
anubis	7–13	0.03	25%	5 Aug →
mirage	13–7	0.03	20%	4 Aug →
inferno	13–10	0.03	27%	31 Jul →
mirage	5–13	-0.09	10%	31 Jul →
anubis	14–16	-0.02	15%	31 Jul →
inferno	5–13	-0.08	15%	31 Jul →
mirage	13–8	-0.00	10%	30 Jul →
anubis	8–13	0.01	17%	30 Jul →
cache	13–16	-0.04	10%	30 Jul →
dust2	13–3	0.02	22%	30 Jul →
inferno	13–10	0.04	22%	29 Jul →
cache	13–9	0.05	21%	29 Jul →
anubis	13–7	-0.01	26%	29 Jul →
anubis	13–9	0.07	21%	28 Jul →
mirage	11–13	0.04	35%	28 Jul →
cache	11–13	0.01	23%	28 Jul →
ancient	13–6	0.03	24%	27 Jul →
anubis	13–7	0.04	23%	27 Jul →
dust2	4–13	0.05	15%	27 Jul →
mirage	19–17	0.04	22%	27 Jul →
dust2	15–15	0.04	26%	26 Jul →
anubis	13–7	-0.03	19%	26 Jul →
ancient	13–7	0.03	20%	26 Jul →
anubis	20–22	0.04	25%	24 Jul →
mirage	13–5	-0.04	18%	24 Jul →
mirage	10–13	0.05	27%	23 Jul →
mirage	9–13	0.02	31%	22 Jul →
inferno	13–6	-0.01	23%	22 Jul →
ancient	13–9	0.08	25%	21 Jul →
anubis	9–13	0.02	19%	21 Jul →
dust2	7–13	-0.05	24%	21 Jul →
ancient	4–13	-0.00	32%	21 Jul →
cache	13–10	0.03	17%	20 Jul →
mirage	7–13	-0.04	12%	20 Jul →
inferno	11–13	-0.02	16%	17 Jul →
inferno	10–13	-0.03	25%	17 Jul →
ancient	13–1	0.05	14%	17 Jul →
mirage	13–16	-0.04	18%	17 Jul →
cache	13–6	0.02	22%	17 Jul →
inferno	11–13	0.09	20%	17 Jul →
ancient	3–13	-0.09	9%	17 Jul →
dust2	13–8	0.02	24%	17 Jul →
ancient	13–8	-0.01	18%	16 Jul →
cache	7–13	-0.01	21%	16 Jul →
mirage	13–5	0.13	47%	16 Jul →
cache	5–3	-0.01	30%	16 Jul →
mirage	6–13	-0.01	20%	16 Jul →
inferno	12–16	-0.01	23%	16 Jul →
mirage	13–11	0.04	23%	15 Jul →
anubis	13–5	-0.00	31%	15 Jul →
nuke	13–4	0.10	28%	14 Jul →
ancient	8–13	-0.05	31%	13 Jul →
mirage	9–13	0.04	15%	13 Jul →
inferno	13–8	-0.01	14%	13 Jul →
ancient	8–13	-0.00	15%	13 Jul →
anubis	13–6	0.06	15%	13 Jul →
mirage	15–15	0.04	19%	13 Jul →
anubis	9–13	0.01	30%	13 Jul →
ancient	14–16	0.01	25%	12 Jul →
mirage	0–13	-0.08	23%	12 Jul →
inferno	13–3	0.01	24%	12 Jul →
inferno	13–2	0.06	30%	12 Jul →
mirage	13–2	0.17	31%	11 Jul →
dust2	13–3	0.09	14%	11 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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