Ham — CS2 Stats

US76561198004005688[U:1:43739960]Steam profile ↗

1,356Tracked matches48%Win rate2020Tracked since

CSDB Rating4.8 DevelopingSupport

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim47

Positioning53

Utility74

0–100 skill scores via Leetify.

Recent form

COLD48–41–11Last 10048%Win rateTTWTLWLLLW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.7

Aggression5.0

Utility7.4

Positioning5.3

Opening Duels1.3

Effective flashes

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 85% 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

Areas to improve

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7

Positioning5.3

Utility7.4

Mechanics4.3

Opening Duels1.5

Win Impact4.3

Composite 4.8/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time613ms+2ms

first ⅓ avg 611ms → last ⅓ avg 613ms

Headshot accuracy11.9%−0.5%

first ⅓ avg 12.5% → last ⅓ avg 11.9%

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 — dust2 13–8

13–1Biggest win — dust2

6Longest win streak

7–3In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 48% over 83officeWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	83	40–43	48%	0.01
office	C	5	2–3	40%	0.02
cache	—	4	2–2	50%	0.01
vertigo	—	3	2–1	67%	0.05
train	—	2	0–2	0%	-0.02
anubis	—	2	1–1	50%	0.00
mirage	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

39.6%Spray accuracy

69.2%Counter-strafing

11.8°Preaim

627msReaction time

28.7%T opening success

41.7%CT opening success

0.71Enemies flashed / flash

13.8%Flash assists

9.02HE damage / grenade

19.49Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.0669% — below the 15% mark we flag
Aim Training →
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 28.7113% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.01	16%	25 Aug →
dust2	12–12	-0.01	2%	25 Aug →
dust2	13–8	0.04	9%	16 Aug →
dust2	12–12	0.02	12%	10 Aug →
dust2	5–13	0.03	32%	8 Aug →
dust2	13–6	-0.02	9%	8 Aug →
dust2	11–13	-0.01	9%	6 Aug →
dust2	10–13	0.05	18%	6 Aug →
dust2	8–13	0.00	12%	6 Aug →
dust2	13–11	0.02	10%	5 Aug →
dust2	7–13	-0.05	10%	5 Aug →
dust2	13–5	0.02	13%	2 Aug →
dust2	4–13	0.02	14%	2 Aug →
dust2	12–12	0.02	16%	1 Aug →
dust2	9–13	0.01	9%	30 Jul →
dust2	4–13	-0.01	8%	29 Jul →
dust2	13–11	0.05	13%	27 Jul →
dust2	13–3	-0.04	27%	26 Jul →
dust2	8–13	0.01	18%	26 Jul →
dust2	4–13	-0.01	10%	26 Jul →
dust2	12–12	-0.01	5%	25 Jul →
dust2	13–4	0.11	11%	18 Jul →
dust2	13–7	0.02	12%	17 Jul →
dust2	13–11	0.01	6%	15 Jul →
dust2	4–13	-0.09	11%	15 Jul →
dust2	11–13	-0.05	11%	11 Jul →
dust2	4–13	0.05	11%	10 Jul →
dust2	13–1	0.01	11%	10 Jul →
office	13–4	0.08	10%	8 Jul →
dust2	13–8	0.03	18%	8 Jul →
office	6–13	0.03	14%	8 Jul →
office	9–13	-0.03	4%	8 Jul →
cache	12–12	-0.03	8%	7 Jul →
cache	13–5	0.11	22%	7 Jul →
dust2	13–1	0.03	0%	2 Jul →
dust2	9–13	-0.03	14%	1 Jul →
dust2	13–8	0.09	26%	29 Jun →
dust2	12–4	0.00	11%	29 Jun →
dust2	5–13	-0.06	10%	28 Jun →
dust2	5–13	0.06	7%	24 Jun →
dust2	9–13	-0.01	16%	22 Jun →
train	9–13	-0.03	7%	22 Jun →
dust2	13–7	-0.03	2%	21 Jun →
train	10–13	-0.01	12%	21 Jun →
dust2	13–6	-0.00	10%	21 Jun →
dust2	10–13	-0.09	11%	21 Jun →
dust2	12–12	0.05	8%	17 Jun →
dust2	7–13	-0.04	11%	16 Jun →
dust2	13–5	0.14	15%	14 Jun →
dust2	3–13	-0.09	8%	14 Jun →
dust2	13–7	-0.07	11%	11 Jun →
dust2	8–13	-0.04	18%	9 Jun →
dust2	10–13	0.01	9%	9 Jun →
dust2	12–12	-0.03	14%	8 Jun →
dust2	6–13	-0.03	11%	7 Jun →
dust2	12–12	0.09	18%	7 Jun →
vertigo	13–10	0.05	5%	5 Jun →
dust2	13–11	0.04	13%	3 Jun →
vertigo	11–0	0.07	40%	3 Jun →
dust2	13–7	-0.06	7%	3 Jun →
dust2	1–6	-0.12	14%	3 Jun →
vertigo	6–13	0.03	11%	3 Jun →
dust2	13–7	0.07	17%	2 Jun →
dust2	13–10	0.01	14%	31 May →
anubis	13–5	0.07	18%	31 May →
dust2	13–5	0.04	25%	31 May →
dust2	9–2	0.04	8%	29 May →
anubis	8–13	-0.07	10%	28 May →
dust2	13–8	0.14	15%	23 May →
dust2	13–10	0.02	8%	18 May →
dust2	9–13	-0.02	9%	18 May →
dust2	13–8	0.00	12%	17 May →
office	9–13	-0.00	6%	17 May →
office	13–6	0.01	9%	13 May →
dust2	7–13	-0.03	14%	13 May →
dust2	13–9	0.08	8%	13 May →
dust2	13–11	-0.02	16%	10 May →
dust2	7–13	-0.03	16%	10 May →
dust2	5–13	0.06	7%	10 May →
dust2	13–10	-0.04	13%	9 May →
mirage	13–11	0.06	8%	8 May →
dust2	11–13	-0.05	6%	7 May →
dust2	9–13	0.07	13%	7 May →
dust2	13–7	0.00	14%	6 May →
cache	12–12	-0.03	9%	6 May →
dust2	13–9	0.00	21%	6 May →
cache	13–3	-0.01	27%	6 May →
dust2	13–8	0.00	12%	5 May →
dust2	13–8	0.03	11%	5 May →
dust2	13–6	0.02	18%	4 May →
dust2	13–9	0.09	10%	3 May →
dust2	7–13	0.05	10%	3 May →
dust2	13–8	0.02	15%	2 May →
dust2	13–9	0.01	6%	1 May →
dust2	13–11	-0.01	20%	30 Apr →
dust2	8–13	-0.04	11%	30 Apr →
dust2	13–4	0.02	12%	30 Apr →
dust2	6–13	0.05	16%	29 Apr →
dust2	9–13	0.10	18%	28 Apr →
dust2	12–12	-0.05	10%	24 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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