henry — CS2 Stats

CA76561198884281113[U:1:924015385]Steam profile ↗✓ No bans

3,468Tracked matches56%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating21,951Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#7418 of 23799 tracked

FaceitLevel 7 · 1,276 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning56

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–44–12Last 10044%Win rateLLWWWTTWLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression5.9

Utility6.0

Positioning5.6

Opening Duels2.0

Clutch2.6

Strong 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 NiKo 90% 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim6.5

Positioning5.6

Utility6.0

Mechanics6.5

Opening Duels2.2

Win Impact6.9

Composite 6.0/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time650ms−7ms

first ⅓ avg 657ms → last ⅓ avg 650ms

Headshot accuracy26.3%−0.7%

first ⅓ avg 27.0% → last ⅓ avg 26.3%

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

0.15Best rating — office 13–6

13–2Biggest win — train

4Longest win streak

L2Current streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

officeBest map · 62% over 13anubisWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	10–9	53%	0.03
dust2	C	17	6–11	35%	0.00
office	A	13	8–5	62%	0.04
cache	A	13	8–5	62%	-0.00
mirage	D	11	2–9	18%	-0.03
anubis	D	8	1–7	13%	-0.00
train	A	5	3–2	60%	0.01
vertigo	—	3	1–2	33%	-0.02
fachwerk	—	3	1–2	33%	0.05
overpass	—	2	1–1	50%	0.00
ancient	—	2	2–0	100%	0.06
inferno	—	1	0–1	0%	0.07
italy	—	1	1–0	100%	0.01
debris	—	1	0–1	0%	0.04
poseidon	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches

59%Win rate

0.91Avg K/D

68.6ADR

55%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	44%	0.99	14.7
Inferno	13	85%	1.02	13.8
Anubis	11	73%	0.83	13.2
Ancient	11	64%	0.87	13.0
Dust2	9	56%	0.97	16.7
Train	4	100%	1.43	15.5
Vertigo	3	67%	0.99	16.3
Nuke	3	67%	1.06	11.3

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.

26.1%Headshot accuracy

30.6%Accuracy (enemy spotted)

33.1%Spray accuracy

79.2%Counter-strafing

10.0°Preaim

643msReaction time

28.8%T opening success

47.3%CT opening success

0.66Enemies flashed / flash

18.9%Flash assists

11.73HE damage / grenade

6.89Flashes / 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 28.7759% — below the 40% mark we flag

Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	10–13	0.12	24%	29 Aug →
dust2	3–13	0.04	27%	29 Aug →
office	13–6	0.07	31%	29 Aug →
nuke	13–3	0.10	44%	28 Aug →
dust2	13–9	0.02	21%	28 Aug →
mirage	12–12	0.02	25%	28 Aug →
nuke	12–12	-0.05	39%	28 Aug →
dust2	6–1	-0.07	22%	28 Aug →
anubis	3–13	-0.03	33%	28 Aug →
anubis	7–13	0.00	36%	28 Aug →
office	13–4	0.10	36%	28 Aug →
nuke	11–13	-0.02	33%	28 Aug →
office	13–6	0.15	33%	28 Aug →
dust2	7–13	0.02	10%	27 Aug →
cache	5–13	-0.04	4%	27 Aug →
office	13–8	-0.05	21%	27 Aug →
cache	13–11	-0.05	20%	27 Aug →
dust2	13–7	0.00	21%	27 Aug →
train	7–13	0.01	38%	27 Aug →
dust2	13–8	-0.03	38%	27 Aug →
inferno	12–12	0.07	19%	27 Aug →
mirage	9–13	-0.04	18%	26 Aug →
nuke	13–11	-0.03	19%	26 Aug →
overpass	4–13	-0.06	21%	26 Aug →
anubis	5–13	0.01	28%	26 Aug →
nuke	13–7	0.09	36%	26 Aug →
italy	13–7	0.01	32%	26 Aug →
cache	13–6	-0.03	19%	26 Aug →
cache	5–13	-0.02	17%	26 Aug →
nuke	13–5	-0.00	18%	25 Aug →
mirage	12–12	-0.01	20%	25 Aug →
train	11–13	-0.04	40%	25 Aug →
vertigo	5–13	-0.06	23%	23 Aug →
cache	6–11	-0.06	20%	23 Aug →
dust2	6–13	-0.08	15%	23 Aug →
anubis	8–13	-0.02	46%	23 Aug →
mirage	11–13	-0.08	35%	23 Aug →
office	11–10	0.00	29%	23 Aug →
dust2	13–7	-0.07	12%	23 Aug →
mirage	7–13	-0.04	47%	22 Aug →
mirage	10–13	-0.06	36%	22 Aug →
anubis	12–12	0.01	21%	22 Aug →
cache	13–5	-0.04	11%	22 Aug →
cache	13–5	0.02	34%	21 Aug →
nuke	11–13	0.02	17%	21 Aug →
dust2	11–13	0.06	28%	21 Aug →
cache	16–14	-0.04	28%	20 Aug →
mirage	13–5	-0.03	29%	20 Aug →
nuke	9–13	0.01	22%	20 Aug →
nuke	13–5	0.09	39%	20 Aug →
overpass	13–8	0.06	31%	19 Aug →
train	13–2	-0.01	8%	19 Aug →
mirage	3–13	-0.12	14%	19 Aug →
nuke	3–13	-0.00	24%	19 Aug →
dust2	7–13	-0.03	27%	19 Aug →
cache	13–9	0.04	29%	19 Aug →
dust2	8–13	0.05	32%	18 Aug →
anubis	13–7	-0.00	21%	18 Aug →
nuke	5–13	0.04	26%	18 Aug →
office	2–13	-0.05	25%	18 Aug →
office	13–9	0.05	25%	18 Aug →
fachwerk	12–12	0.09	30%	18 Aug →
dust2	3–13	-0.07	33%	18 Aug →
cache	12–12	0.13	34%	18 Aug →
ancient	13–10	0.04	23%	17 Aug →
nuke	13–3	-0.01	28%	17 Aug →
nuke	13–4	0.03	23%	17 Aug →
dust2	4–0	0.10	14%	17 Aug →
office	9–13	-0.04	31%	16 Aug →
nuke	11–13	0.13	23%	16 Aug →
cache	2–13	-0.04	22%	14 Aug →
cache	13–9	0.09	28%	14 Aug →
dust2	7–13	0.09	36%	14 Aug →
train	13–11	0.07	24%	14 Aug →
office	13–5	0.06	38%	13 Aug →
ancient	13–4	0.09	28%	13 Aug →
nuke	13–9	0.12	24%	13 Aug →
dust2	12–12	0.05	16%	13 Aug →
mirage	5–13	0.00	26%	13 Aug →
nuke	8–13	-0.05	31%	12 Aug →
nuke	8–2	0.09	40%	12 Aug →
vertigo	9–13	-0.06	21%	7 Aug →
cache	13–3	0.02	24%	7 Aug →
train	13–11	0.01	30%	7 Aug →
nuke	6–9	0.02	15%	7 Aug →
mirage	7–13	0.04	30%	6 Aug →
dust2	6–13	-0.01	27%	6 Aug →
fachwerk	13–11	0.05	43%	6 Aug →
office	8–13	0.02	34%	6 Aug →
anubis	12–12	0.04	29%	6 Aug →
office	13–5	0.14	27%	30 Jul →
dust2	7–13	-0.06	32%	30 Jul →
fachwerk	12–12	0.01	21%	30 Jul →
nuke	13–4	-0.05	6%	30 Jul →
vertigo	13–10	0.06	33%	30 Jul →
debris	8–8	0.04	24%	30 Jul →
poseidon	8–8	0.06	33%	30 Jul →
office	2–13	-0.09	28%	24 Jul →
mirage	13–6	0.04	17%	24 Jul →
anubis	10–13	-0.03	31%	24 Jul →