Sherm — CS2 Stats

EH76561198104205312[U:1:143939584]Steam profile ↗✓ No bans

1,577Tracked matches41%Win rate2020Tracked since

1,471Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim69

Positioning47

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY36–60–4Last 10036%Win rateLLTWWLLWWL

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

Player DNA

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

Aim6.9

Aggression5.1

Utility2.7

Positioning4.7

Opening Duels2.7

Clutch0.0

Strong CT-side openerLimited 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 NiKo 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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.

T-side openings. Opening success drops from 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 709ms 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

Aim6.9

Positioning4.7

Utility2.7

Mechanics6.6

Opening Duels2.7

Win Impact2.1

Composite 4.9/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time715ms+74ms

first ⅓ avg 642ms → last ⅓ avg 715ms

Headshot accuracy13.7%−1.8%

first ⅓ avg 15.4% → last ⅓ avg 13.7%

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

0.38Best rating — poseidon 9–0

13–3Biggest win — cache

3Longest win streak

L2Current streak

8–2In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 64% over 11anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	17	5–12	29%	0.01
cache	D	16	4–12	25%	0.00
ancient	C	12	5–7	42%	0.03
overpass	A	11	7–4	64%	0.01
anubis	D	10	2–8	20%	0.01
inferno	C	9	4–5	44%	-0.00
nuke	D	8	2–6	25%	-0.04
dust2	D	7	2–5	29%	0.03
train	—	3	0–3	0%	0.02
sanctum	—	2	0–2	0%	-0.01
poseidon	—	2	2–0	100%	0.36
italy	—	1	1–0	100%	-0.00
vertigo	—	1	1–0	100%	0.32
alpine	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,681Lifetime kills

1.25K/D · Top 25% of tracked players

4,394Matches

43.0%Match win rate

35.5%Headshot %

20.4%Shot accuracy · Top 5% of tracked players

11,538MVPs

1,471Hours (in match)

1,906Bombs planted

832Bombs defused

Most-used weapons

AK-4725,535

M4A4 / M4A1-S18,236

AWP17,421

P2000 / USP-S4,724

Desert Eagle4,162

Glock-183,469

Galil AR2,233

P2501,972

P901,823

AUG1,679

Lifetime map wins

5,501dust2

3,817inferno

3,019nuke

1,914vertigo

1,761train

485office

373cbble

81lake

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

Faceit stats

Combat

3Matches

67%Win rate

1.19Avg K/D

85.0ADR

41%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLW

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.

13.2%Headshot accuracy

43.7%Accuracy (enemy spotted)

41.9%Spray accuracy

79.8%Counter-strafing

10.0°Preaim

709msReaction time

31.4%T opening success

49.8%CT opening success

0.39Enemies flashed / flash

2.8%Flash assists

9.22HE damage / grenade

1.26Flashes / 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 13.1915% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 708.7178ms — above the 700ms mark we flag
Aim Training →
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 0.392 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 10 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
mirage	5–13	-0.04	12%	25 Aug →
cache	10–13	-0.01	9%	24 Aug →
anubis	15–15	0.01	8%	18 Aug →
nuke	13–9	-0.05	15%	17 Aug →
dust2	13–7	0.01	12%	17 Aug →
mirage	5–13	0.01	17%	15 Aug →
dust2	9–13	0.07	13%	12 Aug →
cache	13–11	-0.06	6%	9 Aug →
ancient	13–7	0.01	11%	9 Aug →
cache	10–13	0.00	25%	8 Aug →
anubis	9–13	0.04	20%	2 Aug →
inferno	16–13	-0.01	11%	24 Jul →
mirage	10–13	-0.03	13%	23 Jul →
nuke	8–13	-0.01	7%	20 Jul →
mirage	7–13	0.04	20%	20 Jul →
dust2	10–13	-0.00	28%	16 Jul →
anubis	3–13	0.00	19%	16 Jul →
dust2	13–9	0.04	16%	14 Jul →
cache	2–13	-0.00	8%	13 Jul →
anubis	13–11	0.07	2%	13 Jul →
cache	9–13	-0.01	13%	9 Jul →
cache	13–9	-0.00	10%	7 Jul →
ancient	13–10	0.07	9%	5 Jul →
mirage	13–11	0.03	14%	5 Jul →
mirage	13–16	0.11	10%	5 Jul →
inferno	14–16	0.02	7%	5 Jul →
cache	8–13	0.01	19%	4 Jul →
mirage	2–13	-0.03	27%	4 Jul →
overpass	13–8	0.01	14%	4 Jul →
cache	13–4	0.08	11%	4 Jul →
mirage	9–13	0.01	14%	1 Jul →
cache	10–13	-0.02	16%	29 Jun →
mirage	5–13	0.01	14%	14 Jun →
mirage	7–13	-0.02	21%	4 Jun →
nuke	5–13	-0.04	37%	31 May →
ancient	9–13	0.01	16%	29 May →
cache	7–13	-0.02	16%	25 May →
ancient	1–13	-0.04	26%	25 May →
italy	13–9	-0.00	21%	20 May →
cache	7–13	0.06	16%	17 May →
anubis	9–13	-0.02	15%	16 May →
ancient	13–7	-0.03	9%	15 May →
sanctum	8–8	-0.01	6%	15 May →
poseidon	9–0	0.35	11%	15 May →
cache	7–13	0.05	17%	9 May →
inferno	3–9	-0.06	0%	3 May →
cache	4–13	-0.06	17%	3 May →
cache	13–3	0.10	9%	2 May →
nuke	7–13	-0.07	19%	1 May →
cache	3–13	-0.02	13%	28 Apr →
cache	1–13	-0.06	7%	28 Apr →
nuke	13–9	-0.04	18%	27 Apr →
poseidon	9–0	0.38	17%	27 Apr →
sanctum	6–9	-0.00	2%	27 Apr →
vertigo	9–2	0.32	10%	27 Apr →
dust2	6–13	0.04	19%	25 Apr →
anubis	2–13	-0.00	16%	25 Apr →
mirage	8–13	0.01	31%	25 Apr →
overpass	16–13	0.01	10%	25 Apr →
mirage	13–10	0.01	20%	20 Apr →
anubis	3–13	-0.00	8%	7 Apr →
nuke	10–13	0.05	18%	28 Mar →
ancient	12–12	0.02	18%	28 Mar →
inferno	3–13	-0.00	32%	21 Mar →
mirage	7–13	0.03	15%	6 Mar →
overpass	10–13	-0.02	17%	27 Feb →
anubis	2–13	-0.07	13%	27 Feb →
dust2	5–13	0.05	9%	27 Feb →
ancient	3–13	0.04	22%	15 Feb →
anubis	6–13	-0.02	7%	8 Feb →
mirage	3–13	-0.05	5%	8 Feb →
inferno	13–11	0.00	19%	7 Feb →
ancient	13–10	0.08	21%	7 Feb →
nuke	4–13	-0.06	32%	7 Feb →
overpass	13–7	-0.02	12%	6 Feb →
ancient	13–7	0.07	19%	3 Feb →
anubis	13–11	0.07	15%	1 Feb →
overpass	8–13	0.08	24%	31 Jan →
ancient	10–13	0.06	21%	30 Jan →
overpass	13–6	-0.01	29%	28 Jan →
alpine	13–7	0.01	17%	21 Jan →
ancient	11–13	0.10	18%	19 Jan →
inferno	16–13	0.04	25%	19 Jan →
nuke	3–13	-0.08	9%	14 Jan →
train	4–13	-0.07	9%	10 Jan →
overpass	8–13	0.00	0%	5 Jan →
train	8–13	0.03	14%	5 Jan →
inferno	13–10	0.00	0%	2 Jan →
mirage	13–10	0.01	8%	2 Jan →
ancient	3–13	-0.08	11%	30 Dec →
overpass	5–13	-0.02	15%	30 Dec →
mirage	13–11	0.03	19%	29 Dec →
overpass	13–7	0.02	16%	29 Dec →
dust2	15–15	0.04	22%	23 Dec →
mirage	16–14	-0.01	14%	21 Dec →
inferno	3–13	-0.02	23%	20 Dec →
overpass	13–9	0.02	12%	19 Dec →
train	6–13	0.10	15%	19 Dec →
inferno	5–13	0.01	13%	19 Dec →
overpass	13–11	0.02	15%	18 Dec →