sheffy — CS2 Stats

76561198079415549[U:1:119149821]✓ No bans

1,516Tracked matches52%Win rate2020Tracked since
2,520Hours in CS6Hrs last 2 wks
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating21,514Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#8379 of 25034 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate53.2%42.5%44.2%above
Shot accuracy7.3%10.9%11.2%3.9% short
Kill/death ratio1.010.991.040.03 short
Match win rate34.2%44.2%45.3%11.0% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsheffyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,514 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning64
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY494011Last 10049%Win rateLWWLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression8.5
Utility7.0
Positioning6.4
Opening Duels3.4

Effective flashes

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 577ms 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

Aim6.8
Positioning6.4
Utility7.0
Mechanics5.5
Opening Duels3.4
Win Impact5.6

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time570ms−19ms
first ⅓ avg 589ms → last ⅓ avg 570ms
Headshot accuracy17.2%+0.4%
first ⅓ avg 16.8% → last ⅓ avg 17.2%

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.

Highlights

0.34Best rating — inferno 9–0
131Biggest win — vertigo
4Longest win streak
68In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2191243%0.01
dust2B158753%0.03
vertigoA127558%0.05
nukeS107370%0.00
anubisB84450%0.02
ancientC83538%0.01
mirageC73443%0.01
cacheC52340%0.07
trainS54180%0.09
overpass31233%-0.01
debris2020%-0.05
office21150%0.04
shelter1010%-0.02
eldorado1010%0.01

Across the last 100 tracked matches.

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

Lifetime stats

111,787Lifetime kills
1.01K/D · Top 50% of Level 4 players
5,063Matches
34.2%Match win rate
53.2%Headshot % · Top 25% of Level 4 players
7.3%Shot accuracy
10,173MVPs
1,677Hours (in match)
4,870Bombs planted
1,322Bombs defused

Most-used weapons

AK-4728,066
AWP3,895
MP73,662
FAMAS3,069
P902,222

Lifetime map wins

4,900inferno
4,456dust2
3,932nuke
2,099vertigo
1,617train
761office
518cbble
219lake

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.

17.8%Headshot accuracy
37.4%Accuracy (enemy spotted)
41.0%Spray accuracy
74.8%Counter-strafing
11.6°Preaim
577msReaction time
42.2%T opening success
45.0%CT opening success
0.81Enemies flashed / flash
9.4%Flash assists
6.84HE damage / grenade
14.58Flashes / match

Recommended for you

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–130.0811%28 Aug
anubis13–5-0.0120%25 Aug
anubis13–100.0716%25 Aug
dust211–130.0613%19 Aug
train13–90.0814%19 Aug
dust28–00.0617%19 Aug
dust210–130.0117%18 Aug
train8–4-0.019%18 Aug
train13–50.1420%17 Aug
ancient8–130.0725%14 Aug
dust29–130.0310%11 Aug
nuke13–100.0216%6 Aug
dust29–130.0420%6 Aug
ancient6–130.0118%6 Aug
dust213–8-0.0314%6 Aug
ancient16–12-0.0320%5 Aug
ancient8–130.0225%5 Aug
dust29–13-0.0515%5 Aug
ancient5–13-0.0321%5 Aug
vertigo13–50.0829%31 Jul
vertigo3–13-0.060%30 Jul
vertigo10–130.1117%29 Jul
dust213–100.0421%28 Jul
anubis9–13-0.0423%28 Jul
dust213–40.0734%27 Jul
nuke13–80.0516%27 Jul
nuke13–10-0.0310%27 Jul
anubis12–120.059%27 Jul
anubis11–130.1225%26 Jul
dust213–20.1212%19 Jul
mirage8–13-0.046%19 Jul
mirage8–130.0322%18 Jul
inferno13–10-0.0021%18 Jul
inferno11–130.0216%18 Jul
inferno13–70.0423%10 Jul
mirage13–100.0414%10 Jul
debris8–80.0231%10 Jul
shelter1–10-0.0215%9 Jul
office10–130.0614%9 Jul
eldorado8–80.0117%9 Jul
debris3–9-0.1112%9 Jul
office13–80.0219%8 Jul
mirage7–130.0238%2 Jul
cache13–10-0.0220%2 Jul
cache10–130.1514%1 Jul
ancient13–8-0.0314%1 Jul
mirage13–110.1324%30 Jun
dust213–11-0.0627%30 Jun
dust212–120.1214%30 Jun
inferno4–9-0.1215%23 Jun
inferno5–9-0.0310%23 Jun
train11–130.1224%21 Jun
dust213–90.0114%21 Jun
vertigo7–90.0635%20 Jun
nuke9–60.0216%20 Jun
ancient15–150.1012%19 Jun
nuke3–9-0.0622%19 Jun
inferno7–9-0.0744%18 Jun
inferno9–00.3421%18 Jun
train13–100.1226%18 Jun
inferno6–90.0127%10 Jun
inferno8–8-0.0127%10 Jun
vertigo9–50.1121%10 Jun
inferno9–50.0925%10 Jun
vertigo9–50.0233%10 Jun
overpass10–13-0.0121%10 Jun
mirage11–13-0.0228%10 Jun
inferno8–80.0316%9 Jun
inferno6–9-0.0419%9 Jun
inferno9–30.0727%9 Jun
inferno4–9-0.1220%6 Jun
inferno8–8-0.0612%6 Jun
inferno9–6-0.0418%6 Jun
cache8–130.0227%6 Jun
vertigo13–10.1821%6 Jun
vertigo13–90.0113%5 Jun
vertigo7–130.0022%3 Jun
vertigo4–13-0.0013%3 Jun
nuke13–40.066%3 Jun
ancient13–4-0.0019%1 Jun
anubis13–11-0.0217%1 Jun
inferno13–70.0411%31 May
nuke15–15-0.0216%31 May
dust216–140.0617%29 May
inferno9–50.0719%29 May
nuke4–9-0.0221%29 May
vertigo9–30.1543%29 May
inferno9–30.0723%29 May
dust29–13-0.029%29 May
overpass3–13-0.0213%29 May
mirage16–12-0.0527%28 May
overpass13–90.0110%28 May
inferno8–80.0514%28 May
nuke9–70.0113%28 May
inferno8–8-0.154%28 May
anubis11–130.019%28 May
anubis13–110.0010%27 May
nuke13–7-0.0221%25 May
vertigo13–9-0.0411%24 May
cache13–100.1115%23 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →