Jerry

Jerry — CS2 Stats

US76561198098291595[U:1:138025867]Steam profile ↗✓ No bans

1,963Tracked matches47%Win rate2020Tracked since
2,306Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 9 · 1,632 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

−187Faceit ELO · 1,819 → 1,632

Rating over time

Premier CS Rating: 19,128 -453 22 Feb – 23 Mar · 2 days played
19,12819,581peak 19,58122 Feb23 Mar
19,690Peak Premier in tracked matches
1,819Highest Faceit ELO seen on CSDB
63Days played since 2026-01-28

Faceit ELO

  • 187 below peak (1,819)
  • Next: Level 9 at 1,751 — 119 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate56.2%48.2%50.9%above
Shot accuracy12.7%13.2%13.7%1.0% short
Kill/death ratio1.441.071.09above
Match win rate46.6%46.9%48.4%1.8% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJerryFACEITLevel 9 · 1,632 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,819csdb.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

Aim84
Positioning65
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWLLWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · −49ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 509ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 556ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 581ms

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 against its own average).

Aim8.4
Utility5.5
Positioning6.5
Opening Duels6.1
Clutch4.0

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

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 603ms 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

Aim8.4
Positioning6.5
Utility5.5
Mechanics8.3
Opening Duels4.8
Win Impact3.9

Composite 6.4/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time610ms−63ms
first ⅓ avg 673ms → last ⅓ avg 610ms
Headshot accuracy25.4%−1.6%
first ⅓ avg 27.0% → last ⅓ avg 25.4%

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 · 13–8 · dust2, 10 Mar →
45%Best headshot accuracy · 8–13 · dust2, 18 Feb →
453msFastest reaction time · 13–1 · dust2, 12 Oct →
13–1Biggest win · dust2, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 80% over 5anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B4922–2745%-0.01
mirageB178–947%-0.00
ancientB115–645%-0.01
anubisD71–614%0.02
infernoS54–180%0.02
nukeD51–420%-0.03
cache—41–325%-0.00
overpass—22–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,676Lifetime kills
1.44K/D · Top 10% of Level 9 players
5,224Matches
46.6%Match win rate
56.2%Headshot % · Top 25% of Level 9 players
12.7%Shot accuracy
13,782MVPs
2,306Hours (in match)
4,746Bombs planted
1,581Bombs defused

Most-used weapons

AK-4750,280
AWP27,944
SSG 084,511
FAMAS3,142
P2502,590
MP72,090

Lifetime map wins

24,996dust2
4,745inferno
2,398nuke
654train
514vertigo
320cbble
187office
46aztec

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

Faceit stats

Combat

1,322Matches
50%Win rate
1.16Avg K/D
85.8ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust236855%1.2618.1
Mirage19047%1.2017.7
Inferno10045%1.0715.9
Ancient9949%1.1117.6
Anubis8736%1.0116.8
Cache3951%1.0816.4
Nuke3132%1.0015.6
Vertigo1656%1.2819.6

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.

24.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
36.1%Spray accuracy
87.3%Counter-strafing
8.4°Preaim
603msReaction time
44.5%T opening success
54.1%CT opening success
0.58Enemies flashed / flash
6.6%Flash assists
9.01HE damage / grenade
9.66Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0215%12 Oct →
dust213–10.0410%12 Oct →
mirage9–130.0122%12 Oct →
anubis9–130.0541%12 Oct →
ancient13–110.0524%30 Aug →
inferno13–80.0434%27 Aug →
mirage2–13-0.0717%22 Aug →
dust24–13-0.0233%16 Aug →
nuke10–130.0242%5 Aug →
cache4–130.0234%3 Aug →
dust27–13-0.0324%30 Jul →
anubis9–130.0427%27 Jul →
dust213–80.0223%26 Jul →
dust212–160.0320%26 Jul →
dust216–12-0.0014%17 Jul →
dust210–13-0.0124%16 Jul →
mirage13–30.0644%15 Jul →
ancient13–110.0524%14 Jul →
dust210–130.0529%11 Jul →
mirage13–20.0021%11 Jul →
inferno13–80.0126%7 Jul →
cache4–13-0.0419%7 Jul →
overpass13–20.1028%29 Jun →
nuke13–7-0.0228%23 Jun →
ancient13–10-0.0723%14 Jun →
dust216–19-0.0220%12 Jun →
cache8–13-0.0129%9 Jun →
dust29–130.0516%9 Jun →
dust27–13-0.088%8 Jun →
dust213–7-0.0337%7 Jun →
nuke8–13-0.0422%4 Jun →
ancient16–120.0427%2 Jun →
nuke11–13-0.0134%31 May →
dust216–14-0.0334%26 May →
ancient10–13-0.0318%18 May →
cache13–110.0142%8 May →
dust213–80.0021%26 Apr →
mirage2–13-0.0717%25 Apr →
mirage13–7-0.0133%25 Apr →
dust24–13-0.0520%18 Apr →
dust29–13-0.0613%11 Apr →
mirage12–160.0739%9 Apr →
ancient7–13-0.0718%30 Mar →
mirage5–13-0.0615%29 Mar →
dust213–7-0.0120%29 Mar →
mirage13–11-0.0223%27 Mar →
dust216–14-0.0319%26 Mar →
dust212–120.0628%25 Mar →
anubis10–130.0129%24 Mar →
mirage13–80.1130%23 Mar →
anubis13–60.0826%23 Mar →
anubis14–160.0221%21 Mar →
inferno13–70.0620%21 Mar →
anubis7–13-0.0233%20 Mar →
ancient9–130.0224%18 Mar →
ancient11–13-0.0424%18 Mar →
dust210–13-0.0917%17 Mar →
dust213–11-0.0128%17 Mar →
ancient9–130.0426%14 Mar →
mirage5–13-0.0127%13 Mar →
mirage11–130.0438%13 Mar →
dust211–13-0.0427%12 Mar →
dust213–80.0523%12 Mar →
dust28–130.0027%12 Mar →
dust213–80.0723%11 Mar →
dust213–50.0418%11 Mar →
dust212–120.0226%11 Mar →
dust212–12-0.0418%10 Mar →
dust213–80.1128%10 Mar →
dust213–40.0133%9 Mar →
dust210–130.0325%9 Mar →
dust213–11-0.0025%9 Mar →
dust28–13-0.0226%5 Mar →
dust26–13-0.0117%5 Mar →
mirage5–13-0.0523%22 Feb →
dust213–8-0.0329%22 Feb →
mirage13–9-0.0022%22 Feb →
mirage13–8-0.0320%22 Feb →
dust213–5-0.0417%22 Feb →
inferno12–16-0.0526%21 Feb →
dust213–16-0.0119%21 Feb →
overpass13–80.0131%21 Feb →
dust28–13-0.0225%21 Feb →
dust213–5-0.0139%19 Feb →
dust213–10-0.0121%19 Feb →
dust27–13-0.0917%19 Feb →
dust28–130.0045%18 Feb →
ancient11–13-0.0433%17 Feb →
nuke8–13-0.0842%17 Feb →
mirage13–80.0238%17 Feb →
dust29–13-0.0136%11 Feb →
dust213–7-0.0118%11 Feb →
inferno13–40.0526%8 Feb →
anubis9–13-0.0210%5 Feb →
mirage13–16-0.0220%5 Feb →
dust211–13-0.0242%4 Feb →
dust210–130.0226%4 Feb →
dust211–13-0.0937%2 Feb →
dust213–110.0730%28 Jan →
dust213–11-0.0325%28 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.