sherma — CS2 Stats

US76561198239051998[U:1:278786270]Steam profile ↗✓ No bans

251Tracked matches54%Win rate2020Tracked since

873Hours in CS

CSDB Rating5.7 SolidHybrid Rifler

WingmanSilver IV

Ladder ranks via Leetify

Performance scores

Aim69

Positioning64

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateTLTLWLWWLW

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

Player DNA

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

Aim6.9

Aggression6.8

Utility2.8

Positioning6.4

Opening Duels2.9

Clutch1.8

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 ropz 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

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 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Positioning6.4

Utility2.8

Mechanics7.0

Opening Duels2.9

Win Impact6.3

Composite 5.7/10 (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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time605ms−16ms

first ⅓ avg 621ms → last ⅓ avg 605ms

Headshot accuracy22.3%+4.6%

first ⅓ avg 17.7% → last ⅓ avg 22.3%

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

0.19Best rating — mirage 13–4

13–1Biggest win — mirage

8Longest win streak

5–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 83% over 6nukeWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	15–12	56%	0.03
mirage	B	26	14–12	54%	0.04
inferno	A	14	8–6	57%	0.04
overpass	B	11	5–6	45%	0.02
nuke	C	8	3–5	38%	0.02
ancient	S	6	5–1	83%	0.03
train	—	4	3–1	75%	0.05
anubis	—	2	2–0	100%	0.10
cache	—	1	0–1	0%	-0.00
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

48,733Lifetime kills

1.15K/D · Top 50% of tracked players

2,477Matches

41.5%Match win rate

33.5%Headshot %

19.2%Shot accuracy · Top 10% of tracked players

5,430MVPs

873Hours (in match)

2,459Bombs planted

448Bombs defused

Most-used weapons

AK-4711,828

AWP8,375

M4A4 / M4A1-S7,440

Desert Eagle3,106

P2000 / USP-S2,973

Glock-181,698

MP91,310

SSG 081,280

MAC-101,235

P2501,034

Lifetime map wins

4,869dust2

2,206inferno

1,167office

809train

324nuke

263cbble

250vertigo

45lake

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

Faceit stats

Combat

24Matches

33%Win rate

0.93Avg K/D

80.1ADR

39%Headshot %

Clutches & streaks

29%1v1 clutch win

50%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	25%	1.10	16.3
Mirage	3	33%	0.97	16.7

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.

23.1%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.9%Spray accuracy

81.7%Counter-strafing

11.1°Preaim

606msReaction time

32.3%T opening success

51.3%CT opening success

0.45Enemies flashed / flash

9.1%Flash assists

4.33HE damage / grenade

8.73Flashes / 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 0.4506 — below the 0.5 mark we flag
Grenade Lineups →
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 32.2956% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	15–15	-0.00	30%	16 Jul →
mirage	11–13	0.08	20%	16 Jul →
mirage	15–15	0.05	21%	8 May →
inferno	2–13	-0.14	15%	17 Apr →
dust2	13–5	0.08	16%	13 Apr →
mirage	5–13	-0.00	19%	13 Apr →
dust2	16–13	0.07	34%	13 Mar →
ancient	13–8	0.05	13%	13 Mar →
overpass	3–13	-0.03	21%	13 Mar →
vertigo	9–6	0.03	19%	13 Mar →
inferno	13–8	0.02	27%	5 Mar →
mirage	6–13	0.02	18%	3 Mar →
overpass	15–15	0.04	23%	3 Mar →
dust2	13–2	0.09	18%	13 Dec →
overpass	13–5	0.07	21%	13 Dec →
nuke	13–9	0.06	26%	27 Nov →
mirage	9–13	0.02	21%	27 Nov →
mirage	8–13	-0.02	20%	19 Nov →
dust2	3–13	-0.01	14%	19 Nov →
overpass	5–13	-0.04	23%	16 Oct →
mirage	6–13	-0.02	33%	16 Oct →
train	16–14	-0.02	18%	11 Oct →
dust2	13–6	-0.00	19%	11 Oct →
overpass	13–5	0.03	31%	10 Oct →
inferno	6–11	-0.04	19%	10 Oct →
mirage	13–8	0.06	21%	10 Oct →
dust2	13–3	0.07	27%	7 Oct →
mirage	13–4	0.13	37%	7 Oct →
nuke	15–15	0.02	20%	6 Oct →
mirage	13–11	0.02	27%	6 Oct →
overpass	6–13	0.03	35%	4 Oct →
nuke	13–3	0.08	12%	4 Oct →
inferno	13–10	0.02	19%	19 Sept →
mirage	13–2	0.03	16%	19 Sept →
ancient	13–10	0.10	21%	19 Sept →
overpass	13–4	0.07	28%	18 Sept →
inferno	13–8	0.01	29%	18 Sept →
dust2	13–2	0.11	26%	18 Sept →
train	13–7	0.13	35%	18 Sept →
dust2	15–15	0.01	24%	17 Sept →
overpass	13–9	0.05	27%	15 Sept →
dust2	13–9	0.03	24%	15 Sept →
ancient	13–2	0.03	28%	14 Sept →
mirage	13–5	0.03	24%	14 Sept →
dust2	8–1	0.01	16%	14 Sept →
overpass	11–13	-0.04	12%	14 Sept →
nuke	11–13	0.03	22%	13 Sept →
overpass	10–13	-0.04	25%	12 Sept →
mirage	13–7	0.08	19%	12 Sept →
dust2	11–13	-0.01	18%	11 Sept →
ancient	13–6	0.08	20%	11 Sept →
inferno	13–4	0.17	16%	11 Sept →
overpass	13–9	0.04	12%	11 Sept →
dust2	13–9	-0.02	15%	9 Sept →
mirage	4–13	-0.00	13%	9 Sept →
dust2	13–7	0.09	28%	6 Sept →
inferno	11–13	0.01	12%	30 Aug →
mirage	9–13	0.03	22%	30 Aug →
mirage	13–10	0.04	14%	25 Aug →
dust2	13–4	-0.01	15%	22 Aug →
inferno	13–8	0.13	12%	25 May →
anubis	13–6	0.14	13%	25 May →
ancient	2–13	-0.09	5%	25 May →
mirage	11–13	-0.01	18%	25 May →
nuke	5–13	0.03	15%	25 May →
inferno	13–10	0.06	13%	24 May →
mirage	13–2	0.10	11%	24 May →
dust2	3–13	0.06	20%	24 May →
mirage	13–1	0.05	13%	24 May →
dust2	11–13	0.02	5%	24 May →
inferno	6–13	0.03	21%	11 May →
mirage	6–13	-0.03	15%	11 May →
dust2	8–13	0.01	15%	8 May →
dust2	13–11	0.03	12%	2 May →
anubis	13–11	0.07	21%	2 May →
ancient	13–6	0.01	14%	2 May →
dust2	13–3	0.02	9%	1 May →
mirage	13–4	0.19	15%	1 May →
dust2	3–13	-0.05	15%	1 May →
dust2	13–16	0.02	19%	23 Apr →
mirage	13–9	0.01	19%	23 Apr →
nuke	2–8	-0.07	17%	23 Apr →
train	13–10	0.07	17%	10 Apr →
dust2	6–13	0.01	21%	23 Mar →
dust2	13–10	0.08	29%	23 Mar →
inferno	13–8	0.14	19%	23 Mar →
mirage	13–10	-0.00	15%	23 Mar →
inferno	13–11	0.09	24%	23 Mar →
train	15–15	0.01	18%	21 Mar →
mirage	13–10	0.04	14%	20 Mar →
dust2	13–16	0.00	27%	20 Mar →
nuke	9–13	-0.03	15%	20 Mar →
inferno	10–13	0.05	16%	19 Mar →
mirage	9–13	0.02	17%	19 Mar →
mirage	13–3	0.17	25%	19 Mar →
nuke	13–4	0.04	20%	19 Mar →
dust2	14–16	0.03	15%	17 Mar →
dust2	13–9	0.05	22%	7 Mar →
inferno	11–13	0.04	26%	7 Mar →
dust2	6–13	0.04	13%	4 Mar →