Happy — CS2 Stats

76561199113572151[U:1:1153306423]Steam profile ↗✓ No bans

1,457Tracked matches40%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 10 · 2,509 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning42

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLLLLWLWWW

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

Player DNA

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

Aim8.4

Aggression5.7

Utility5.6

Positioning4.2

Opening Duels1.1

Clutch3.4

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 NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Reaction time. 568ms 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

Aim8.4

Positioning4.2

Utility5.6

Mechanics7.4

Opening Duels1.1

Win Impact1.7

Composite 5.7/10 (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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time583ms−4ms

first ⅓ avg 587ms → last ⅓ avg 583ms

Headshot accuracy21.5%−0.8%

first ⅓ avg 22.3% → last ⅓ avg 21.5%

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

0.14Best rating — mirage 13–7

13–1Biggest win — ancient

7Longest win streak

9–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 60% over 15dust2Weakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	17–15	53%	0.01
dust2	D	16	5–11	31%	-0.01
ancient	A	15	9–6	60%	0.04
anubis	B	11	5–6	45%	0.01
nuke	C	10	4–6	40%	-0.01
overpass	A	5	3–2	60%	0.03
inferno	A	5	3–2	60%	0.01
cache	—	3	3–0	100%	0.03
vertigo	—	2	1–1	50%	0.02
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,610Matches

51%Win rate

1.14Avg K/D

83.9ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	475	53%	1.16	17.3
Dust2	291	47%	1.10	16.1
Ancient	226	53%	1.16	17.1
Anubis	180	49%	1.11	18.1
Nuke	94	47%	1.08	17.0
Inferno	76	49%	1.03	16.4
Overpass	64	45%	1.18	17.7
Vertigo	25	60%	1.41	19.0

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.

21.2%Headshot accuracy

37.1%Accuracy (enemy spotted)

43.1%Spray accuracy

83.1%Counter-strafing

9.2°Preaim

568msReaction time

32.4%T opening success

36.7%CT opening success

0.61Enemies flashed / flash

6.8%Flash assists

6.04HE damage / grenade

13.42Flashes / 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 32.3648% — 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.

31% win rate across 16 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
cache	13–10	-0.02	18%	24 Aug →
ancient	14–16	-0.01	24%	22 Aug →
mirage	5–13	-0.07	21%	14 Aug →
anubis	11–13	-0.01	15%	14 Aug →
nuke	6–13	-0.01	18%	13 Aug →
ancient	13–11	0.03	14%	6 Aug →
ancient	6–13	-0.00	19%	5 Aug →
dust2	13–10	0.09	21%	31 Jul →
anubis	13–9	-0.01	24%	30 Jul →
nuke	13–11	-0.02	10%	23 Jul →
mirage	7–13	-0.06	21%	10 Jul →
mirage	13–16	-0.01	18%	9 Jul →
ancient	13–10	0.06	17%	8 Jul →
mirage	7–13	-0.00	12%	2 Jul →
dust2	10–13	0.00	24%	28 Jun →
cache	13–7	-0.01	33%	27 Jun →
mirage	13–16	-0.03	25%	25 Jun →
dust2	9–13	-0.03	29%	1 Jun →
cache	13–10	0.12	19%	26 May →
nuke	13–10	0.04	17%	22 May →
ancient	13–1	0.07	23%	20 May →
dust2	8–13	-0.00	32%	18 May →
nuke	8–13	-0.06	36%	16 May →
mirage	6–13	-0.00	20%	14 May →
mirage	10–13	0.04	26%	14 May →
dust2	4–13	-0.05	12%	12 May →
anubis	7–13	-0.00	21%	4 May →
mirage	13–11	0.05	17%	4 May →
dust2	9–13	-0.06	25%	3 May →
dust2	13–2	0.06	26%	29 Apr →
mirage	16–13	0.02	19%	28 Apr →
mirage	6–13	-0.01	14%	24 Apr →
nuke	13–3	0.01	38%	23 Apr →
dust2	13–3	0.03	33%	20 Apr →
mirage	13–6	0.03	19%	16 Apr →
vertigo	13–1	0.02	19%	14 Apr →
anubis	14–16	0.02	16%	14 Apr →
mirage	5–13	-0.05	13%	13 Apr →
vertigo	11–13	0.02	23%	11 Apr →
mirage	13–2	-0.02	36%	10 Apr →
dust2	6–13	-0.04	14%	10 Apr →
anubis	12–12	-0.03	30%	4 Apr →
mirage	13–9	0.06	28%	2 Apr →
mirage	13–11	-0.05	15%	1 Apr →
mirage	16–13	0.06	28%	27 Mar →
ancient	13–8	0.04	17%	25 Mar →
mirage	16–13	0.02	18%	24 Mar →
nuke	11–13	0.00	26%	23 Mar →
mirage	13–11	0.03	26%	20 Mar →
mirage	2–13	-0.03	19%	20 Mar →
overpass	10–13	-0.04	21%	20 Mar →
mirage	13–7	0.14	33%	18 Mar →
mirage	11–13	-0.02	32%	18 Mar →
mirage	22–19	-0.01	17%	17 Mar →
anubis	21–25	-0.00	15%	13 Mar →
dust2	8–13	-0.01	7%	13 Mar →
mirage	13–11	0.05	20%	12 Mar →
anubis	13–6	0.03	27%	5 Mar →
nuke	11–13	-0.02	26%	5 Mar →
nuke	13–10	-0.03	37%	5 Mar →
mirage	13–5	-0.02	11%	3 Mar →
dust2	3–13	-0.06	37%	3 Mar →
mirage	10–13	-0.01	24%	2 Mar →
dust2	13–6	0.04	7%	1 Mar →
dust2	10–13	-0.04	25%	28 Feb →
inferno	11–13	-0.04	22%	25 Feb →
ancient	13–7	-0.01	13%	23 Feb →
mirage	13–10	0.07	18%	23 Feb →
ancient	10–13	-0.02	27%	21 Feb →
nuke	8–13	-0.08	43%	19 Feb →
nuke	11–13	0.02	24%	17 Feb →
ancient	9–13	0.06	23%	16 Feb →
ancient	13–7	0.10	25%	16 Feb →
ancient	13–5	0.11	24%	16 Feb →
ancient	13–3	0.14	33%	16 Feb →
mirage	13–5	0.06	29%	15 Feb →
anubis	13–11	0.03	9%	15 Feb →
overpass	13–1	-0.00	15%	13 Feb →
dust2	13–7	0.01	22%	11 Feb →
mirage	7–13	0.00	14%	10 Feb →
mirage	8–13	-0.01	10%	10 Feb →
inferno	13–16	0.05	17%	9 Feb →
anubis	11–13	0.01	16%	6 Feb →
mirage	15–19	-0.05	22%	5 Feb →
overpass	8–13	0.06	23%	4 Feb →
ancient	9–13	-0.02	23%	3 Feb →
anubis	13–9	-0.01	13%	3 Feb →
ancient	9–13	-0.01	28%	30 Jan →
overpass	13–10	0.05	22%	30 Jan →
ancient	13–11	0.02	9%	28 Jan →
overpass	16–14	0.07	19%	27 Jan →
inferno	16–13	0.02	21%	27 Jan →
anubis	13–3	0.05	28%	22 Jan →
dust2	9–13	-0.01	19%	19 Jan →
inferno	13–9	0.01	35%	18 Jan →
mirage	13–9	0.07	17%	18 Jan →
inferno	13–8	0.01	29%	18 Jan →
dust2	14–16	-0.00	26%	18 Jan →
train	9–13	-0.03	32%	16 Jan →
mirage	13–4	0.10	18%	15 Jan →