Jamess

Jamess — CS2 Stats

BW76561198012254824[U:1:51989096]Steam profile ↗✓ No bans

1,287Tracked matches48%Win rate2020Tracked since
5,149Hours in CS9Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating25,833Top 10% of 204,793 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13813 of 251943 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 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: 25,833 +722 30 Apr – 11 Oct · 23 days played
23,59826,447peak 26,44730 Apr11 Oct
26,729Peak Premier in tracked matches
35Days played since 2026-04-30

Premier CS Rating

  • 614 below peak (26,447)
  • -335 over 30 days · steady
  • Next: Gold band at 30,000 — 4,167 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-12
  • Pink band first seen 2026-09-12

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate45.9%49.3%50.9%5.1% short
Shot accuracy17.2%13.4%11.8%above
Kill/death ratio1.181.121.18meets
Match win rate69.7%48.5%51.9%above

This profile matches the typical Gold band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJamessPREMIER25,833 · Red 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

Aim80
Positioning62
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLLWWWTLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · +40ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 652ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 616ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • 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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.0
Utility6.4
Positioning6.2
Opening Duels3.0
Clutch3.8

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.

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 587ms 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

Aim8.0
Positioning6.2
Utility6.4
Mechanics6.7
Opening Duels4.2
Win Impact4.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time586ms−21ms
first ⅓ avg 607ms → last ⅓ avg 586ms
Headshot accuracy22.5%−3.0%
first ⅓ avg 25.5% → last ⅓ avg 22.5%

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

0.20Best match rating · 13–6 · cache, 1 Sept →
47%Best headshot accuracy · 13–1 · inferno, 12 Jun →
422msFastest reaction time · 13–2 · inferno, 22 Aug →
13–1Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
12–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2616–1062%0.03
dust2S1812–667%0.03
cacheB189–950%0.03
anubisB137–654%0.03
ancientS107–370%0.03
nukeB105–550%0.02
mirageD50–50%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,492Lifetime kills
1.18K/D · Top 50% of Red band
11,816Matches
69.7%Match win rate · Top 5% of Red band
45.9%Headshot %
17.2%Shot accuracy · Top 25% of Red band
20,523MVPs
3,293Hours (in match)
9,808Bombs planted
2,521Bombs defused

Most-used weapons

AK-4749,064
AWP13,787
P2504,414
Tec-93,489
MAC-103,484

Lifetime map wins

23,114dust2
16,843inferno
5,510nuke
1,338train
772vertigo
690cbble
171office
124dust

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

Faceit stats

Combat

656Matches
53%Win rate
1.36Avg K/D
81.2ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke683%1.5818.3
Inferno683%1.4718.0
Anubis560%1.5119.8
Ancient450%0.9614.0
Dust23100%2.4014.3
Overpass10%1.1919.0
Mirage1100%1.4413.0

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.

22.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.2%Spray accuracy
80.3%Counter-strafing
9.3°Preaim
587msReaction time
42.3%T opening success
51.7%CT opening success
0.61Enemies flashed / flash
7.8%Flash assists
11.89HE damage / grenade
13.74Flashes / match

Recommended for you

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0328%11 Oct →
ancient10–13-0.0511%11 Oct →
inferno13–110.0030%5 Oct →
ancient13–100.0835%5 Oct →
dust213–110.0619%5 Oct →
anubis15–150.0523%5 Oct →
mirage6–13-0.0116%4 Oct →
cache13–60.0819%4 Oct →
anubis6–13-0.1025%2 Oct →
mirage10–130.0826%2 Oct →
cache5–13-0.0531%2 Oct →
ancient16–130.0011%2 Oct →
dust213–70.0626%2 Oct →
ancient13–90.0416%27 Sept →
nuke13–40.1121%27 Sept →
inferno16–13-0.0314%25 Sept →
nuke13–90.0226%25 Sept →
cache11–13-0.0028%25 Sept →
mirage7–13-0.0228%25 Sept →
nuke1–13-0.0310%12 Sept →
anubis13–80.0520%12 Sept →
cache13–110.0027%12 Sept →
dust23–13-0.0422%12 Sept →
ancient9–130.0921%12 Sept →
inferno5–13-0.056%12 Sept →
anubis7–130.0235%12 Sept →
inferno11–13-0.0233%12 Sept →
inferno13–60.0716%12 Sept →
nuke10–130.0227%12 Sept →
dust213–100.0825%12 Sept →
inferno13–30.0729%1 Sept →
cache13–60.2025%1 Sept →
anubis9–130.0415%28 Aug →
nuke13–60.0121%28 Aug →
cache13–110.0022%28 Aug →
ancient13–70.0011%28 Aug →
inferno11–130.0230%28 Aug →
dust210–130.0133%22 Aug →
anubis8–130.0115%22 Aug →
inferno13–40.0227%22 Aug →
cache10–130.0611%22 Aug →
ancient13–40.0516%22 Aug →
inferno13–20.1316%22 Aug →
cache4–130.0121%20 Aug →
dust216–140.0128%20 Aug →
anubis13–8-0.0029%18 Aug →
dust213–90.0425%18 Aug →
cache7–13-0.0132%17 Aug →
ancient13–70.0724%17 Aug →
cache5–13-0.0233%17 Aug →
anubis13–5-0.0411%17 Aug →
cache11–13-0.0225%16 Aug →
nuke9–130.0826%15 Aug →
anubis13–50.0427%15 Aug →
inferno13–1-0.0029%15 Aug →
ancient13–110.0324%15 Aug →
inferno11–130.0231%14 Aug →
cache13–30.1143%13 Aug →
dust27–13-0.0332%13 Aug →
inferno13–90.1027%13 Aug →
anubis13–100.0726%13 Aug →
inferno11–130.0820%9 Aug →
cache13–80.0516%20 Jul →
dust213–70.1020%20 Jul →
cache3–130.0114%7 Jul →
dust28–130.0133%7 Jul →
inferno13–11-0.0416%7 Jul →
inferno13–110.0019%4 Jul →
dust210–130.0118%4 Jul →
inferno9–130.0024%3 Jul →
nuke13–3-0.0020%28 Jun →
inferno13–110.0530%26 Jun →
nuke10–130.0323%26 Jun →
anubis16–120.0627%26 Jun →
nuke9–13-0.0327%12 Jun →
dust213–11-0.0533%12 Jun →
inferno16–140.0429%12 Jun →
inferno13–10.0247%12 Jun →
inferno13–20.0213%11 Jun →
anubis13–50.1529%11 Jun →
ancient3–130.0213%9 Jun →
dust213–10-0.0222%9 Jun →
cache13–70.0223%2 Jun →
dust212–120.0821%1 Jun →
inferno13–110.0332%1 Jun →
inferno6–130.0131%31 May →
dust213–50.0335%31 May →
dust213–80.0223%31 May →
nuke13–100.0228%27 May →
dust213–100.0528%19 May →
inferno12–120.0724%15 May →
inferno15–15-0.0328%5 May →
anubis10–13-0.0223%5 May →
mirage15–150.0619%5 May →
dust216–120.0926%30 Apr →
inferno13–80.0420%30 Apr →
cache4–130.0123%30 Apr →
inferno8–130.0338%30 Apr →
cache13–90.0523%30 Apr →
cache13–20.0824%30 Apr →

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 →

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