☆ Henni2k — CS2 Stats

DK76561198073113301[U:1:112847573]Steam profile ↗✓ No bans

2,407Tracked matches48%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating25,152Top 25% of 44,590 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#6085 of 57180 tracked

FaceitLevel 10 · 2,666 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning51

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLWLWWLWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim9.1

Aggression7.1

Utility5.1

Positioning5.1

Opening Duels1.9

Clutch3.0

Sharp aimer

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 93% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 606ms 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

Aim9.1

Positioning5.1

Utility5.1

Mechanics8.0

Opening Duels1.9

Win Impact4.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time616ms+74ms

first ⅓ avg 542ms → last ⅓ avg 616ms

Headshot accuracy30.3%+4.3%

first ⅓ avg 26.0% → last ⅓ avg 30.3%

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

0.24Best rating — nuke 13–2

13–0Biggest win — nuke

6Longest win streak

L2Current streak

1–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 15infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	0.03
ancient	A	20	11–9	55%	0.02
nuke	S	15	10–5	67%	0.06
cache	C	9	4–5	44%	0.00
mirage	D	9	3–6	33%	-0.00
inferno	D	8	2–6	25%	0.02
anubis	D	8	2–6	25%	-0.00
overpass	C	8	3–5	38%	0.04
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,708Matches

52%Win rate

1.23Avg K/D

92.0ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	94	59%	1.33	19.8
Anubis	63	41%	1.23	19.2
Mirage	61	52%	1.10	17.4
Nuke	57	58%	1.33	20.2
Vertigo	49	55%	1.36	20.2
Dust2	27	59%	1.29	20.6
Overpass	26	50%	1.32	18.9
Inferno	14	21%	1.09	15.8

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.

29.5%Headshot accuracy

35.1%Accuracy (enemy spotted)

43.5%Spray accuracy

86.2%Counter-strafing

7.7°Preaim

606msReaction time

34.1%T opening success

40.8%CT opening success

0.67Enemies flashed / flash

9.3%Flash assists

6.27HE damage / grenade

5.46Flashes / 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 34.0644% — below the 40% mark we flag

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.

25% win rate across 8 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
cache	0–13	-0.12	50%	1 Aug →
dust2	1–13	-0.02	25%	1 Aug →
inferno	13–5	0.04	24%	1 Aug →
nuke	9–13	-0.04	41%	1 Aug →
ancient	13–10	-0.00	41%	31 Jul →
dust2	13–8	0.04	33%	31 Jul →
mirage	10–13	0.00	33%	31 Jul →
dust2	13–5	-0.02	26%	31 Jul →
ancient	13–3	0.08	42%	31 Jul →
cache	2–8	0.05	27%	31 Jul →
ancient	5–13	-0.01	38%	30 Jul →
ancient	10–13	-0.05	31%	30 Jul →
ancient	3–12	-0.04	50%	30 Jul →
cache	15–15	0.00	24%	30 Jul →
mirage	1–13	-0.07	29%	30 Jul →
inferno	5–13	-0.02	37%	30 Jul →
dust2	4–13	-0.07	21%	28 Jul →
nuke	13–9	-0.00	18%	28 Jul →
mirage	13–8	0.05	33%	28 Jul →
cache	6–13	0.03	29%	28 Jul →
dust2	13–9	0.01	31%	28 Jul →
dust2	13–2	0.13	34%	28 Jul →
anubis	13–9	0.00	22%	28 Jul →
nuke	13–7	0.01	29%	28 Jul →
nuke	13–0	0.06	18%	21 Jul →
mirage	13–8	-0.00	12%	21 Jul →
dust2	6–13	0.05	29%	21 Jul →
nuke	11–13	-0.02	15%	20 Jul →
inferno	13–7	0.07	31%	20 Jul →
nuke	8–13	0.01	28%	20 Jul →
dust2	13–3	-0.02	23%	20 Jul →
ancient	13–2	0.11	37%	20 Jul →
mirage	5–13	0.00	41%	19 Jul →
nuke	2–13	0.01	32%	19 Jul →
dust2	2–13	0.00	41%	19 Jul →
inferno	11–13	-0.08	33%	19 Jul →
cache	13–5	0.02	29%	13 Jul →
ancient	13–11	-0.01	33%	13 Jul →
cache	13–8	0.07	36%	13 Jul →
dust2	13–7	0.05	17%	13 Jul →
nuke	13–4	0.10	32%	5 Jul →
ancient	8–13	-0.01	26%	30 Jun →
dust2	13–9	0.11	31%	29 Jun →
inferno	2–3	0.08	64%	29 Jun →
dust2	13–9	0.07	36%	29 Jun →
anubis	7–13	0.02	19%	25 Jun →
overpass	13–1	0.05	22%	25 Jun →
ancient	13–8	0.08	22%	25 Jun →
dust2	13–8	0.05	22%	21 Jun →
overpass	15–15	0.09	36%	21 Jun →
ancient	8–13	0.01	40%	21 Jun →
ancient	16–13	0.02	27%	20 Jun →
anubis	5–13	-0.08	21%	20 Jun →
nuke	13–2	0.14	25%	20 Jun →
mirage	10–13	-0.01	19%	20 Jun →
dust2	11–13	0.12	38%	11 Jun →
nuke	13–4	0.12	37%	11 Jun →
ancient	11–13	0.01	26%	11 Jun →
dust2	8–13	-0.01	21%	11 Jun →
nuke	13–2	0.15	26%	11 Jun →
cache	12–12	0.03	27%	23 May →
vertigo	13–8	0.02	20%	23 May →
cache	13–8	-0.06	37%	23 May →
cache	13–4	0.01	29%	23 May →
overpass	1–6	-0.10	0%	19 May →
dust2	9–13	0.01	22%	19 May →
ancient	13–10	0.06	29%	18 May →
ancient	9–13	-0.02	21%	18 May →
nuke	13–2	0.24	30%	17 May →
dust2	7–13	0.02	32%	29 Apr →
ancient	13–6	0.06	24%	29 Apr →
ancient	10–13	-0.01	18%	28 Apr →
nuke	13–5	0.02	21%	28 Apr →
overpass	10–13	0.04	20%	28 Apr →
ancient	13–7	0.00	22%	28 Apr →
mirage	15–15	-0.01	28%	25 Apr →
inferno	5–13	-0.02	12%	25 Apr →
anubis	9–13	-0.01	21%	25 Apr →
overpass	11–13	0.04	25%	24 Apr →
dust2	13–9	0.05	34%	24 Apr →
anubis	7–13	0.01	20%	24 Apr →
ancient	2–13	0.00	39%	24 Apr →
overpass	13–6	0.06	21%	24 Apr →
dust2	5–0	0.13	33%	24 Apr →
ancient	13–7	0.01	31%	20 Apr →
inferno	15–15	0.01	25%	20 Apr →
anubis	5–13	-0.02	37%	19 Apr →
overpass	8–13	0.07	25%	7 Apr →
nuke	7–2	0.08	47%	7 Apr →
anubis	13–7	0.04	19%	30 Mar →
nuke	8–13	0.05	21%	25 Mar →
mirage	15–15	-0.01	24%	27 Feb →
overpass	13–3	0.04	32%	27 Feb →
dust2	8–13	0.02	23%	18 Feb →
dust2	7–13	0.01	28%	16 Feb →
dust2	9–13	-0.01	24%	6 Feb →
ancient	16–12	0.03	27%	1 Feb →
inferno	11–13	0.04	34%	30 Jan →
mirage	13–9	0.04	19%	30 Jan →
anubis	7–13	0.01	20%	30 Jan →