sheriffi

sheriffi — CS2 Stats

JM76561199246454284[U:1:1286188556]Steam profile ↗✓ No bans

629Tracked matches60%Win rate2022Tracked since
2,470Hours in CS1Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,999 +2,104 24 Jun – 1 Nov · 34 days played
12,61816,391peak 16,39124 Jun1 Nov
16,733Peak Premier in tracked matches
63Days played since 2026-06-24

Premier CS Rating

  • 1,392 below peak (16,391)
  • +53 over 90 days
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate42.4%43.8%44.8%2.4% short
Shot accuracy2.8%12.0%12.4%9.6% short
Kill/death ratio0.891.021.030.14 short
Match win rate41.6%44.7%45.2%3.6% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsheriffiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,999 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

HOT48–49–3Last 10048%Win rateWWLWWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 623ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.1
Utility4.3
Positioning4.6
Opening Duels0.9
Clutch3.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 581ms 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

Aim6.1
Positioning4.6
Utility4.3
Mechanics5.9
Opening Duels1.5
Win Impact8.3

Composite 5.0/10 (Developing), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time577ms−119ms
first ⅓ avg 697ms → last ⅓ avg 577ms
Headshot accuracy16.2%+2.5%
first ⅓ avg 13.8% → last ⅓ avg 16.2%

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.

Personal bests

0.11Best match rating · 13–1 · nuke, 12 Oct →
39%Best headshot accuracy · 2–13 · dust2, 8 Aug →
406msFastest reaction time · 2–13 · nuke, 15 Sept →
13–0Biggest win · inferno, 3 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
3–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%0.00
nukeC207–1335%-0.02
dust2B157–847%-0.01
ancientC145–936%-0.02
infernoB126–650%-0.02
cacheA74–357%-0.03
anubisA53–260%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,048Lifetime kills
0.89K/D
2,094Matches
41.6%Match win rate
42.4%Headshot %
2.8%Shot accuracy
4,160MVPs
723Hours (in match)
1,667Bombs planted
436Bombs defused

Most-used weapons

Lifetime map wins

2,530dust2
2,308nuke
2,149inferno
495vertigo
391train
293office
275lake
69cbble

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

Faceit stats

Combat

512Matches
48%Win rate
1.00Avg K/D
76.5ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage18352%1.0314.4
Nuke8147%1.0714.0
Anubis7748%0.9614.0
Ancient5444%0.9514.1
Inferno3656%1.2216.2
Dust22532%0.9513.0
Vertigo333%0.9515.3
Cache250%0.9820.0

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.

16.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
35.5%Spray accuracy
76.7%Counter-strafing
9.8°Preaim
581msReaction time
40.2%T opening success
31.9%CT opening success
0.55Enemies flashed / flash
4.8%Flash assists
9.49HE damage / grenade
3.66Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6644 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.907% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–4-0.0524%1 Nov →
cache13–11-0.0515%26 Oct →
mirage9–130.027%25 Oct →
dust213–100.0314%25 Oct →
anubis13–7-0.0012%25 Oct →
dust212–160.0121%25 Oct →
anubis9–13-0.0916%24 Oct →
ancient13–50.057%24 Oct →
inferno13–80.0220%21 Oct →
mirage13–70.0321%17 Oct →
mirage13–8-0.0127%16 Oct →
nuke13–10.1117%12 Oct →
mirage13–100.0418%10 Oct →
nuke8–13-0.0115%8 Oct →
mirage9–130.0423%2 Oct →
nuke5–13-0.100%26 Sept →
anubis5–13-0.0512%25 Sept →
mirage13–80.0216%25 Sept →
mirage13–20.0215%24 Sept →
ancient5–13-0.0515%23 Sept →
mirage13–8-0.0314%20 Sept →
nuke3–13-0.0921%19 Sept →
inferno13–11-0.0120%18 Sept →
nuke2–13-0.0721%15 Sept →
mirage7–13-0.0624%13 Sept →
mirage1–13-0.1311%13 Sept →
dust213–5-0.0125%13 Sept →
nuke13–90.0217%10 Sept →
cache13–40.0116%10 Sept →
mirage13–100.0116%7 Sept →
mirage19–16-0.0113%6 Sept →
inferno13–8-0.0117%4 Sept →
ancient6–13-0.116%31 Aug →
mirage13–30.0215%30 Aug →
inferno13–90.0614%30 Aug →
nuke7–13-0.0319%30 Aug →
inferno0–20.0217%30 Aug →
mirage13–20.0521%29 Aug →
mirage13–40.0310%25 Aug →
nuke6–130.0215%23 Aug →
dust26–13-0.0416%23 Aug →
nuke16–13-0.0515%23 Aug →
ancient6–13-0.116%22 Aug →
inferno3–9-0.1525%21 Aug →
ancient11–13-0.028%20 Aug →
dust213–60.0216%16 Aug →
nuke7–13-0.0419%11 Aug →
ancient11–13-0.0317%11 Aug →
nuke15–15-0.0217%10 Aug →
inferno10–13-0.0517%9 Aug →
mirage9–130.009%9 Aug →
mirage8–13-0.0417%8 Aug →
dust22–13-0.0439%8 Aug →
mirage6–130.0221%8 Aug →
ancient11–130.026%7 Aug →
mirage9–13-0.0115%7 Aug →
nuke13–9-0.0619%7 Aug →
ancient13–30.0010%7 Aug →
mirage13–50.0126%7 Aug →
nuke13–10.0414%7 Aug →
ancient13–30.077%7 Aug →
nuke13–50.0318%6 Aug →
cache13–70.0619%5 Aug →
mirage13–16-0.0710%5 Aug →
dust213–50.0119%5 Aug →
mirage13–6-0.0322%4 Aug →
anubis13–11-0.009%1 Aug →
dust213–6-0.0119%31 Jul →
dust213–80.0124%29 Jul →
nuke6–11-0.049%29 Jul →
inferno6–13-0.099%29 Jul →
nuke13–50.029%28 Jul →
dust213–70.0313%28 Jul →
anubis13–60.0510%26 Jul →
ancient8–13-0.0818%26 Jul →
cache5–13-0.0616%25 Jul →
dust210–13-0.0219%21 Jul →
cache9–13-0.0717%20 Jul →
mirage13–70.0710%20 Jul →
mirage13–2-0.0113%20 Jul →
nuke5–130.0110%19 Jul →
inferno13–60.0310%19 Jul →
mirage13–10.019%19 Jul →
ancient9–130.039%19 Jul →
ancient10–130.0220%18 Jul →
nuke6–130.0111%18 Jul →
mirage9–130.0218%15 Jul →
inferno4–13-0.0512%15 Jul →
dust23–13-0.079%14 Jul →
nuke11–13-0.0230%13 Jul →
inferno9–13-0.0311%12 Jul →
mirage8–130.0113%11 Jul →
dust215–15-0.0220%10 Jul →
ancient13–10-0.088%9 Jul →
cache12–12-0.047%5 Jul →
inferno13–0-0.019%3 Jul →
dust23–13-0.0616%27 Jun →
dust213–16-0.0218%27 Jun →
ancient13–9-0.0510%25 Jun →
nuke6–13-0.0718%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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