Hamm0 — CS2 Stats

76561198407253920[U:1:446988192]Steam profile ↗✓ No bans

1,944Tracked matches50%Win rate2020Tracked since

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating19,083Purple band · top ~12.1% of ranked players (population est.)

CSDB Leaderboard#10745 of 22319 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning41

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWLLWWLLW

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

Player DNA

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

Aim7.5

Aggression2.9

Utility5.2

Positioning4.1

Opening Duels0.2

Clutch2.4

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; 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 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.5

Positioning4.1

Utility5.2

Mechanics7.8

Opening Duels1.3

Win Impact5.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time633ms−53ms

first ⅓ avg 686ms → last ⅓ avg 633ms

Headshot accuracy16.1%−1.8%

first ⅓ avg 17.9% → last ⅓ avg 16.1%

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

0.11Best rating — nuke 13–5

13–1Biggest win — ancient

6Longest win streak

14–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 65% over 20anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	13–7	65%	0.02
mirage	B	18	9–9	50%	-0.01
ancient	B	17	8–9	47%	-0.00
dust2	B	13	7–6	54%	-0.02
inferno	B	12	6–6	50%	0.01
overpass	B	10	5–5	50%	-0.02
anubis	C	8	3–5	38%	-0.02
cache	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,692Matches

50%Win rate

1.04Avg K/D

83.5ADR

44%Headshot %

Clutches & streaks

32%1v1 clutch win

37%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	44%	1.03	16.1
Inferno	18	61%	1.08	15.8
Ancient	16	44%	1.08	17.6
Dust2	14	64%	1.20	19.1
Nuke	7	29%	1.23	20.3
Cache	5	40%	0.86	14.4
Anubis	5	60%	1.18	17.2
Vertigo	3	67%	1.08	17.0

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.

16.2%Headshot accuracy

38.7%Accuracy (enemy spotted)

42.4%Spray accuracy

85.0%Counter-strafing

10.5°Preaim

622msReaction time

21.4%T opening success

40.5%CT opening success

0.65Enemies flashed / flash

4.0%Flash assists

8.72HE damage / grenade

7.95Flashes / 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 21.443% — 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.

38% 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
ancient	11–13	-0.00	13%	27 Aug →
mirage	13–8	0.00	16%	27 Aug →
inferno	16–14	-0.03	17%	14 Aug →
mirage	11–13	-0.08	15%	14 Aug →
dust2	11–13	-0.01	9%	25 Jul →
nuke	13–10	0.03	15%	25 Jul →
ancient	13–5	0.04	21%	25 Jul →
ancient	10–13	-0.04	10%	23 Jul →
nuke	6–13	-0.03	29%	23 Jul →
dust2	13–9	-0.01	17%	22 Jul →
cache	13–11	0.03	16%	22 Jul →
ancient	13–1	0.03	32%	22 Jul →
mirage	8–13	-0.05	14%	22 Jul →
inferno	9–13	-0.01	17%	21 Jul →
dust2	2–13	-0.07	23%	21 Jul →
cache	13–11	0.01	19%	21 Jul →
mirage	15–15	0.04	10%	21 Jul →
mirage	16–13	-0.02	17%	20 Jul →
dust2	15–15	-0.03	23%	20 Jul →
nuke	13–9	0.07	10%	20 Jul →
mirage	6–13	0.01	17%	20 Jul →
inferno	6–13	-0.01	6%	9 Jul →
anubis	2–13	-0.04	13%	9 Jul →
ancient	11–13	-0.02	17%	6 Jul →
ancient	11–13	-0.02	20%	6 Jul →
nuke	13–6	-0.03	16%	6 Jul →
mirage	13–8	-0.03	8%	6 Jul →
dust2	13–11	-0.02	20%	6 Jul →
mirage	4–13	-0.03	23%	2 Jul →
inferno	13–9	-0.03	14%	2 Jul →
ancient	13–11	0.01	14%	2 Jul →
mirage	13–11	0.00	8%	2 Jul →
ancient	13–11	-0.02	14%	2 Jul →
nuke	16–13	-0.01	20%	1 Jul →
dust2	2–9	-0.06	13%	1 Jul →
dust2	13–11	0.08	21%	1 Jul →
overpass	13–2	0.03	19%	1 Jul →
overpass	7–13	-0.01	15%	19 Jun →
mirage	4–13	-0.02	8%	18 Jun →
nuke	9–13	-0.06	20%	18 Jun →
mirage	13–4	0.10	29%	18 Jun →
mirage	10–13	-0.07	15%	16 Jun →
ancient	11–13	-0.01	20%	16 Jun →
inferno	13–10	-0.03	18%	15 Jun →
dust2	13–6	-0.03	23%	14 Jun →
ancient	10–13	-0.00	11%	14 Jun →
inferno	6–13	0.00	38%	14 Jun →
mirage	10–13	-0.05	8%	4 Jun →
anubis	13–16	0.01	18%	4 Jun →
inferno	10–13	-0.00	17%	4 Jun →
nuke	13–10	0.03	19%	3 Jun →
nuke	13–6	-0.01	19%	3 Jun →
overpass	13–7	-0.01	14%	1 Jun →
anubis	4–3	-0.04	18%	1 Jun →
overpass	16–13	-0.04	7%	1 Jun →
overpass	4–13	-0.07	20%	26 May →
mirage	7–13	-0.08	11%	21 May →
ancient	13–10	-0.04	22%	21 May →
inferno	13–7	0.05	23%	21 May →
nuke	13–3	-0.01	21%	20 May →
mirage	13–9	-0.02	7%	20 May →
ancient	11–13	0.00	11%	20 May →
anubis	9–13	0.02	8%	19 May →
dust2	13–8	-0.02	23%	19 May →
overpass	3–13	-0.09	24%	19 May →
mirage	13–7	0.01	20%	19 May →
dust2	13–5	0.01	20%	19 May →
nuke	14–16	-0.00	17%	18 May →
overpass	1–7	-0.06	22%	18 May →
ancient	13–9	0.00	17%	18 May →
dust2	16–13	0.06	16%	18 May →
nuke	13–11	0.01	18%	18 May →
inferno	6–13	-0.00	22%	15 May →
nuke	13–10	0.07	15%	14 May →
overpass	13–8	0.02	14%	13 May →
mirage	13–11	0.07	22%	12 May →
nuke	13–5	0.11	24%	12 May →
dust2	2–13	-0.13	8%	12 May →
ancient	13–9	0.10	21%	6 May →
ancient	8–13	-0.06	17%	5 May →
mirage	13–6	0.04	22%	5 May →
nuke	13–8	0.03	17%	5 May →
nuke	13–7	0.09	17%	5 May →
dust2	9–13	-0.02	29%	29 Apr →
ancient	11–13	-0.03	20%	29 Apr →
nuke	7–13	0.05	9%	28 Apr →
nuke	7–13	-0.01	21%	27 Apr →
nuke	11–13	-0.02	23%	22 Apr →
anubis	1–13	-0.13	17%	22 Apr →
inferno	13–10	0.01	15%	22 Apr →
inferno	13–4	0.06	24%	22 Apr →
ancient	16–14	-0.02	29%	21 Apr →
anubis	13–11	0.06	14%	20 Apr →
nuke	13–8	-0.00	25%	19 Apr →
overpass	13–11	-0.01	14%	14 Apr →
inferno	8–13	0.07	10%	14 Apr →
anubis	13–10	-0.04	14%	14 Apr →
overpass	6–13	-0.01	10%	14 Apr →
nuke	9–13	0.03	14%	14 Apr →
anubis	11–13	-0.02	14%	13 Apr →