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Sheogorath MB — CS2 Stats

76561198170303965[U:1:210038237]

112Tracked matches28%Win rate2020Tracked since
294Hours in CS2Hrs last 2 wks
CSDB Rating1.7 Learning
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim10
Positioning29
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY30–57–13Last 10030%Win rateLLWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim1.0
Aggression0.2
Utility2.4
Positioning2.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 56% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 37% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 717ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.0
Positioning2.9
Utility2.4
Mechanics2.3
Opening Duels0.9
Win Impact0.0

Composite 1.7/10 (Learning), 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-0.07−0.03
first ⅓ avg -0.04 → last ⅓ avg -0.07
Reaction time725ms+9ms
first ⅓ avg 715ms → last ⅓ avg 725ms
Headshot accuracy8.8%+2.3%
first ⅓ avg 6.5% → last ⅓ avg 8.8%

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

0.09Best rating — mirage 13–9
13–2Biggest win — nuke
4Longest win streak
L2Current streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 37% over 19ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC197–1237%-0.06
dust2D185–1328%-0.04
mirageD154–1127%-0.03
infernoC114–736%-0.07
officeD113–827%-0.03
ancientD61–517%-0.04
anubisD62–433%-0.07
vertigo—41–325%-0.04
overpass—32–167%-0.05
cache—20–20%-0.10
agency—20–20%-0.08
italy—10–10%-0.06
train—11–0100%-0.04
iris—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,393Lifetime kills
0.89K/D
463Matches
36.9%Match win rate
26.3%Headshot %
12.9%Shot accuracy · Top 50% of tracked players
759MVPs
159Hours (in match)
221Bombs planted
56Bombs defused

Most-used weapons

AK-47827
M4A4 / M4A1-S698
SG 553595
AWP580
P90555
AUG510
XM1014365
Desert Eagle339
Nova304
Galil AR254

Lifetime map wins

718dust2
518nuke
473inferno
421office
92vertigo
69cbble
66lake
43train

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.

8.9%Headshot accuracy
27.1%Accuracy (enemy spotted)
29.4%Spray accuracy
60.3%Counter-strafing
13.4°Preaim
717msReaction time
15.3%T opening success
36.9%CT opening success
0.43Enemies flashed / flash
0.5%Flash assists
4.27HE damage / grenade
5.13Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3704° — above the 12° mark we flag

    Aim Training →
  2. 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 8.9497% — below the 15% mark we flag

    Aim Training →
  3. 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 717.1847ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0714%18 Aug →
ancient5–13-0.049%18 Aug →
inferno9–6-0.156%18 Aug →
vertigo9–7-0.036%18 Aug →
office13–100.020%13 Aug →
anubis13–7-0.0114%13 Aug →
ancient4–13-0.108%13 Aug →
nuke2–13-0.096%11 Aug →
dust23–13-0.068%9 Aug →
dust211–80.0310%9 Aug →
inferno6–13-0.097%2 Aug →
nuke3–13-0.0811%1 Aug →
dust27–13-0.079%1 Aug →
inferno13–4-0.074%1 Aug →
dust212–12-0.0310%1 Aug →
dust27–13-0.098%31 Jul →
nuke9–13-0.074%28 Jul →
nuke13–3-0.0214%28 Jul →
nuke13–10-0.1011%28 Jul →
inferno6–13-0.125%28 Jul →
inferno8–8-0.134%28 Jul →
office7–13-0.032%27 Jul →
nuke8–13-0.095%27 Jul →
nuke3–13-0.046%27 Jul →
office9–13-0.046%26 Jul →
cache1–13-0.0721%26 Jul →
ancient4–13-0.046%26 Jul →
inferno7–13-0.0814%22 Jul →
anubis8–13-0.1317%22 Jul →
office13–6-0.109%15 Jul →
inferno13–30.022%15 Jul →
mirage10–13-0.0612%15 Jul →
cache2–13-0.1425%1 May →
ancient13–11-0.046%8 Mar →
anubis6–13-0.074%3 Mar →
dust212–12-0.0410%3 Mar →
dust212–120.0610%23 Feb →
nuke13–40.095%11 Feb →
office13–110.039%4 Feb →
mirage6–13-0.0510%4 Feb →
nuke12–12-0.0711%1 Feb →
vertigo12–12-0.0710%1 Feb →
anubis13–9-0.040%1 Feb →
mirage13–7-0.056%28 Jan →
inferno5–13-0.0810%28 Jan →
nuke13–10-0.0514%28 Jan →
nuke13–4-0.038%28 Jan →
nuke7–13-0.105%25 Jan →
dust22–13-0.087%25 Jan →
anubis4–13-0.047%25 Jan →
dust213–3-0.046%25 Jan →
inferno12–12-0.039%25 Jan →
office9–13-0.023%22 Jan →
office5–130.0123%21 Jan →
dust212–12-0.017%21 Jan →
vertigo4–13-0.0710%21 Jan →
agency4–13-0.109%21 Jan →
overpass13–4-0.023%18 Jan →
nuke13–2-0.0411%17 Jan →
dust20–13-0.0910%17 Jan →
nuke13–10-0.042%11 Jan →
dust29–13-0.037%29 Dec →
dust20–13-0.080%29 Dec →
mirage6–13-0.082%23 Dec →
dust213–70.0014%4 Nov →
dust28–13-0.017%4 Nov →
office12–12-0.066%8 Oct →
inferno7–13-0.043%8 Oct →
inferno13–7-0.0414%20 Sept →
office6–13-0.037%14 Sept →
italy6–13-0.065%14 Sept →
mirage4–13-0.0611%14 Sept →
anubis5–13-0.100%9 Jun →
overpass11–13-0.0717%9 Jun →
nuke2–13-0.050%9 Jun →
agency11–13-0.059%9 Jun →
mirage7–13-0.036%9 Dec →
dust213–8-0.0317%9 Dec →
nuke0–13-0.090%19 Nov →
nuke4–13-0.140%19 Oct →
dust25–13-0.080%15 Jun →
ancient3–13-0.064%15 Jun →
overpass13–11-0.077%1 Jun →
office3–13-0.058%14 May →
mirage12–12-0.058%6 May →
dust213–5-0.029%6 May →
mirage3–13-0.039%19 Feb →
mirage13–90.096%24 Jan →
ancient6–90.057%13 Apr →
mirage5–9-0.137%1 Apr →
train9–3-0.040%1 Apr →
mirage8–80.095%10 Jan →
mirage7–9-0.067%20 Oct →
office8–8-0.063%5 Sept →
mirage15–15-0.069%14 Aug →
mirage16–14-0.029%1 Aug →
iris6–16-0.066%1 Aug →
mirage16–70.005%26 Nov →
nuke7–160.0010%25 Nov →
vertigo11–160.007%28 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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