Namhaid — CS2 Stats

IE76561198179357846[U:1:219092118]Steam profile ↗✓ No bans

119Tracked matches78%Win rate2020Tracked since

2,012Hours in CS

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating13,584Blue band · top ~35.9% of ranked players (population est.)

CSDB Leaderboard#19586 of 29472 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	42.4%	41.7%	44.1%	1.7% short
Shot accuracy	19.4%	8.8%	11.4%	above
Kill/death ratio	1.10	0.97	1.03	above
Match win rate	64.9%	43.8%	45.2%	above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning61

Utility16

0–100 skill scores via Leetify.

Recent form

HOT57–34–9Last 10057%Win rateWWWTWWWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.2

Aggression8.4

Utility1.6

Positioning6.1

Opening Duels3.3

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 589ms 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

Aim7.2

Positioning6.1

Utility1.6

Mechanics8.4

Opening Duels3.3

Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time593ms−21ms

first ⅓ avg 615ms → last ⅓ avg 593ms

Headshot accuracy20.3%−2.6%

first ⅓ avg 22.9% → last ⅓ avg 20.3%

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

0.25Best rating — poseidon 9–3

13–0Biggest win — dust2

8Longest win streak

W3Current streak

8–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 64% over 22cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	14–8	64%	-0.01
inferno	A	17	10–7	59%	0.01
mirage	A	14	8–6	57%	0.01
nuke	B	10	5–5	50%	0.01
ancient	C	10	4–6	40%	0.01
cache	D	6	2–4	33%	0.02
overpass	C	5	2–3	40%	-0.00
vertigo	—	4	3–1	75%	-0.02
train	—	3	2–1	67%	-0.05
warden	—	2	1–1	50%	0.01
office	—	2	1–1	50%	0.00
anubis	—	1	1–0	100%	-0.03
alpine	—	1	1–0	100%	0.01
stronghold	—	1	1–0	100%	-0.03
italy	—	1	1–0	100%	0.04
poseidon	—	1	1–0	100%	0.25

Across the last 100 tracked matches.

Lifetime stats

154,242Lifetime kills

1.10K/D · Top 25% of Blue band

8,946Matches

64.9%Match win rate · Top 5% of Blue band

42.4%Headshot % · Top 50% of Blue band

19.4%Shot accuracy · Top 5% of Blue band

8,039MVPs

2,012Hours (in match)

2,595Bombs planted

866Bombs defused

Most-used weapons

AWP59,470

AK-4740,191

M4A4 / M4A1-S12,605

Negev6,094

Desert Eagle5,402

P2000 / USP-S4,921

P2502,487

SG 5532,393

Glock-182,342

SSG 082,286

Lifetime map wins

9,007dust2

4,308inferno

944nuke

760cbble

533train

173lake

153vertigo

127office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

20.1%Headshot accuracy

30.7%Accuracy (enemy spotted)

34.0%Spray accuracy

87.9%Counter-strafing

9.0°Preaim

589msReaction time

43.5%T opening success

42.9%CT opening success

0.30Enemies flashed / flash

2.4%Flash assists

6.15HE damage / grenade

1.34Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3001 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–3	0.03	22%	28 Jun →
train	13–9	-0.04	15%	28 Jun →
vertigo	13–11	-0.03	15%	27 Jun →
nuke	12–12	0.01	13%	27 Jun →
cache	13–8	0.03	18%	27 Jun →
inferno	13–10	0.00	13%	27 Jun →
anubis	13–10	-0.03	16%	27 Jun →
cache	7–13	-0.05	30%	27 Jun →
alpine	13–2	0.01	16%	27 Jun →
warden	13–2	0.08	17%	27 Jun →
stronghold	13–3	-0.03	7%	27 Jun →
italy	13–3	0.04	16%	27 Jun →
office	13–3	0.03	0%	27 Jun →
warden	3–13	-0.06	15%	27 Jun →
dust2	13–6	-0.02	15%	27 Jun →
dust2	12–12	0.02	21%	27 Jun →
ancient	13–3	-0.00	13%	27 Jun →
overpass	13–6	-0.01	41%	27 Jun →
office	5–13	-0.03	20%	27 Jun →
mirage	13–10	0.03	22%	27 Jun →
mirage	13–9	0.04	20%	20 Jun →
inferno	7–13	-0.04	24%	20 Jun →
nuke	12–12	-0.08	28%	8 Jun →
ancient	13–9	0.02	42%	8 Jun →
dust2	13–4	-0.01	20%	28 May →
inferno	3–13	-0.01	26%	24 May →
mirage	13–5	-0.04	27%	24 May →
inferno	4–5	0.07	35%	24 May →
mirage	13–4	-0.01	11%	24 May →
mirage	10–13	0.04	27%	23 May →
ancient	3–13	-0.09	26%	17 May →
dust2	13–6	-0.02	12%	17 May →
mirage	11–13	0.03	30%	11 May →
dust2	15–15	0.09	33%	11 May →
cache	11–13	0.04	33%	10 May →
mirage	13–9	0.13	23%	10 May →
dust2	8–0	0.07	0%	10 May →
inferno	13–10	-0.01	24%	10 May →
nuke	13–6	0.02	25%	10 May →
mirage	13–1	0.07	19%	10 May →
dust2	13–6	0.03	9%	10 May →
ancient	13–3	0.11	30%	9 May →
nuke	13–6	0.02	33%	7 May →
ancient	9–13	0.08	25%	7 May →
dust2	13–3	0.02	37%	7 May →
dust2	7–13	-0.01	17%	6 May →
ancient	9–13	-0.01	13%	6 May →
overpass	9–13	0.04	25%	6 May →
dust2	13–9	0.03	16%	6 May →
dust2	13–3	0.04	22%	6 May →
nuke	13–4	0.10	13%	6 May →
cache	12–12	0.02	22%	6 May →
inferno	13–8	0.08	20%	6 May →
dust2	8–13	-0.06	21%	6 May →
cache	10–13	0.07	22%	6 May →
cache	13–5	0.01	33%	29 Apr →
vertigo	13–10	-0.05	17%	27 Apr →
inferno	13–8	0.06	20%	27 Apr →
dust2	13–11	-0.05	19%	14 Apr →
ancient	7–13	-0.03	26%	12 Apr →
dust2	13–5	-0.02	23%	12 Apr →
inferno	12–12	-0.02	21%	12 Apr →
inferno	9–3	0.12	18%	12 Apr →
nuke	6–9	-0.06	24%	12 Apr →
poseidon	9–3	0.25	26%	12 Apr →
overpass	9–5	0.08	24%	12 Apr →
vertigo	9–4	0.05	38%	12 Apr →
inferno	6–9	0.01	11%	12 Apr →
nuke	9–7	-0.02	21%	12 Apr →
inferno	13–7	0.04	26%	2 Apr →
mirage	13–11	-0.02	15%	2 Apr →
ancient	8–13	0.02	21%	1 Apr →
inferno	13–10	0.04	27%	29 Mar →
dust2	4–13	-0.03	27%	29 Mar →
mirage	8–13	-0.01	12%	29 Mar →
train	6–13	-0.06	17%	29 Mar →
dust2	13–10	-0.07	23%	28 Mar →
dust2	6–13	-0.01	26%	28 Mar →
inferno	8–13	-0.01	19%	28 Mar →
dust2	13–4	-0.08	24%	27 Mar →
dust2	13–7	-0.00	27%	26 Mar →
inferno	13–8	-0.05	15%	12 Mar →
inferno	9–7	-0.01	27%	2 Feb →
inferno	3–9	-0.09	18%	2 Feb →
train	13–11	-0.05	30%	19 Mar →
mirage	12–12	-0.05	15%	19 Mar →
inferno	11–13	-0.02	11%	17 Mar →
ancient	9–13	-0.05	24%	17 Mar →
overpass	1–13	-0.08	10%	20 Jun →
dust2	13–0	0.05	100%	20 Jun →
mirage	13–11	0.01	29%	30 Mar →
overpass	8–13	-0.04	20%	6 Mar →
dust2	13–16	-0.03	14%	19 Aug →
nuke	6–16	0.01	21%	12 Jul →
mirage	12–16	-0.04	10%	22 Jun →
dust2	15–15	-0.06	11%	14 Jan →
vertigo	4–16	-0.04	25%	9 Nov →
nuke	8–8	0.04	50%	23 Sept →
mirage	3–16	-0.07	11%	21 Sept →
ancient	16–10	0.02	19%	7 Sept →