h0lly ' — CS2 Stats

DE76561197961665931[U:1:1400203]Steam profile ↗✓ No bans

4,232Tracked matches62%Win rate2021Tracked since

CSDB Rating6.1 SolidEntry Fragger

Premier CS Rating13,167Blue band · top ~38.1% of ranked players (population est.)

CSDB Leaderboard#39241 of 60030 tracked

FaceitLevel 6 · 1,235 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning65

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWWLWWLTLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.8

Aggression10.0

Utility5.1

Positioning6.5

Opening Duels6.1

Clutch4.4

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 s1mple 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 596ms 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

Aim6.8

Positioning6.5

Utility5.1

Mechanics5.4

Opening Duels6.1

Win Impact9.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time595ms+14ms

first ⅓ avg 580ms → last ⅓ avg 595ms

Headshot accuracy18.7%−3.5%

first ⅓ avg 22.2% → last ⅓ avg 18.7%

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

0.30Best rating — nuke 9–2

13–2Biggest win — ancient

4Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 26% over 27

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	27	7–20	26%	-0.01
nuke	A	18	11–7	61%	0.04
ancient	A	14	9–5	64%	0.00
dust2	D	11	3–8	27%	-0.01
cache	C	10	4–6	40%	-0.02
anubis	C	8	3–5	38%	-0.01
mirage	B	6	3–3	50%	0.00
overpass	—	3	2–1	67%	-0.01
warden	—	1	1–0	100%	-0.08
vertigo	—	1	0–1	0%	-0.11
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

520Matches

49%Win rate

0.93Avg K/D

70.9ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	119	54%	0.95	14.2
Ancient	114	46%	0.88	14.0
Anubis	89	46%	0.86	13.0
Nuke	71	54%	0.94	13.9
Mirage	50	50%	0.93	13.2
Vertigo	20	50%	1.24	15.3
Dust2	17	59%	1.19	17.4
Overpass	9	56%	1.62	13.7

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.

17.7%Headshot accuracy

37.4%Accuracy (enemy spotted)

41.0%Spray accuracy

74.2%Counter-strafing

10.9°Preaim

596msReaction time

47.7%T opening success

60.9%CT opening success

0.50Enemies flashed / flash

7.2%Flash assists

13.38HE damage / grenade

5.92Flashes / 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.

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 0.4966 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

26% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.00	8%	30 Aug →
cache	13–9	0.01	11%	30 Aug →
inferno	9–13	-0.02	10%	28 Aug →
nuke	13–8	0.13	16%	28 Aug →
cache	13–9	-0.08	8%	28 Aug →
cache	11–13	0.04	23%	26 Aug →
anubis	15–15	0.04	11%	26 Aug →
dust2	3–13	0.02	35%	26 Aug →
ancient	13–3	0.03	30%	26 Aug →
anubis	13–11	-0.03	13%	23 Aug →
anubis	10–13	-0.04	17%	23 Aug →
inferno	13–4	0.06	23%	20 Aug →
anubis	3–13	0.04	27%	20 Aug →
ancient	13–10	0.01	11%	16 Aug →
inferno	10–13	-0.01	24%	16 Aug →
anubis	13–5	0.00	12%	14 Aug →
cache	13–8	0.01	11%	14 Aug →
nuke	9–6	0.04	28%	14 Aug →
ancient	16–13	-0.07	19%	9 Aug →
ancient	9–13	-0.05	15%	9 Aug →
inferno	13–3	-0.04	7%	9 Aug →
inferno	14–16	-0.01	22%	6 Aug →
dust2	13–8	0.01	22%	6 Aug →
nuke	16–13	-0.01	14%	4 Aug →
nuke	13–6	-0.01	26%	4 Aug →
ancient	13–3	0.04	28%	3 Aug →
dust2	5–13	-0.01	13%	3 Aug →
cache	3–13	-0.04	12%	3 Aug →
mirage	13–5	0.03	37%	3 Aug →
cache	7–13	-0.01	27%	2 Aug →
dust2	13–10	-0.01	15%	29 Jul →
nuke	14–16	0.03	28%	29 Jul →
inferno	14–16	-0.02	15%	28 Jul →
nuke	7–9	0.02	36%	26 Jul →
nuke	9–6	0.14	22%	26 Jul →
nuke	9–2	0.30	23%	26 Jul →
inferno	2–9	-0.13	21%	26 Jul →
inferno	9–13	-0.09	33%	25 Jul →
nuke	7–13	-0.02	11%	25 Jul →
dust2	8–13	-0.02	27%	25 Jul →
inferno	3–9	-0.11	19%	25 Jul →
ancient	13–16	0.03	13%	23 Jul →
inferno	12–16	0.03	36%	23 Jul →
nuke	13–8	-0.00	27%	22 Jul →
nuke	13–11	0.07	21%	21 Jul →
inferno	13–10	0.06	24%	21 Jul →
inferno	15–15	0.05	9%	20 Jul →
ancient	8–0	0.16	11%	20 Jul →
cache	9–13	0.02	21%	17 Jul →
ancient	6–13	-0.07	32%	17 Jul →
mirage	13–16	0.06	19%	16 Jul →
anubis	9–13	0.03	50%	16 Jul →
cache	16–14	0.04	21%	15 Jul →
dust2	13–11	0.05	21%	15 Jul →
ancient	10–13	-0.07	8%	6 Jul →
inferno	9–13	-0.04	11%	6 Jul →
inferno	15–15	-0.00	30%	5 Jul →
inferno	13–7	-0.03	17%	5 Jul →
nuke	13–7	-0.03	20%	5 Jul →
inferno	13–16	-0.01	24%	5 Jul →
anubis	13–5	-0.07	17%	2 Jul →
ancient	13–2	-0.02	19%	2 Jul →
inferno	11–13	-0.02	35%	2 Jul →
nuke	7–13	0.01	38%	2 Jul →
cache	4–13	-0.04	29%	29 Jun →
mirage	2–13	-0.01	17%	29 Jun →
inferno	5–13	-0.04	14%	29 Jun →
dust2	2–13	-0.04	45%	26 Jun →
warden	13–7	-0.08	38%	26 Jun →
nuke	10–13	-0.01	26%	23 Jun →
dust2	6–13	-0.01	22%	23 Jun →
anubis	15–15	-0.02	18%	22 Jun →
inferno	13–8	0.01	29%	22 Jun →
ancient	12–16	0.01	17%	18 Jun →
nuke	13–11	0.06	23%	18 Jun →
inferno	13–8	0.16	24%	18 Jun →
dust2	7–13	-0.04	23%	14 Jun →
inferno	5–13	0.03	18%	14 Jun →
nuke	5–13	0.04	30%	14 Jun →
vertigo	0–13	-0.11	0%	12 Jun →
office	4–13	-0.03	8%	12 Jun →
inferno	6–13	-0.03	21%	12 Jun →
overpass	9–6	-0.02	19%	12 Jun →
inferno	8–8	-0.07	22%	12 Jun →
dust2	5–13	-0.09	29%	11 Jun →
inferno	7–13	0.02	27%	11 Jun →
ancient	13–10	-0.04	14%	11 Jun →
nuke	13–9	0.02	22%	11 Jun →
mirage	13–6	0.03	26%	11 Jun →
nuke	4–13	-0.08	45%	10 Jun →
inferno	7–13	0.01	24%	10 Jun →
mirage	13–11	-0.03	22%	10 Jun →
cache	11–13	-0.12	11%	10 Jun →
overpass	6–13	0.03	16%	9 Jun →
ancient	13–10	0.06	18%	9 Jun →
dust2	6–13	0.04	27%	9 Jun →
mirage	8–13	-0.07	19%	9 Jun →
inferno	10–13	-0.06	24%	8 Jun →
overpass	13–8	-0.04	6%	7 Jun →
inferno	13–9	-0.05	18%	7 Jun →