James Bönde

James Bönde — CS2 Stats

FI76561198114750873[U:1:154485145]Steam profile ↗✓ No bans

940Tracked matches33%Win rate2022Tracked since
1,899Hours in CS11Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating11,465Blue band · top ~47.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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: 11,465 +2,689 13 May – 30 Oct · 29 days played
5,51712,258peak 12,25813 May30 Oct
12,950Peak Premier in tracked matches
32Days played since 2026-05-13

Premier CS Rating

  • 793 below peak (12,258)
  • -641 over 30 days · declining
  • Next: Purple band at 15,000 — 3,535 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-02

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.6%42.0%44.4%2.8% short
Shot accuracy10.9%9.6%11.9%1.0% short
Kill/death ratio0.970.981.030.06 short
Match win rate43.5%43.8%45.2%1.7% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGJames BöndePREMIER11,465 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateWWLLLLLWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · +29ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 607ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

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 (+0.9 against its own average).

Aim5.8
Utility5.2
Positioning5.6
Opening Duels3.2

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

jL

Plays most like jL 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.8
Positioning5.6
Utility5.2
Mechanics5.6
Opening Duels3.9
Win Impact0.0

Composite 4.6/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time587ms−70ms
first ⅓ avg 657ms → last ⅓ avg 587ms
Headshot accuracy16.6%+3.0%
first ⅓ avg 13.6% → last ⅓ avg 16.6%

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

0.16Best match rating · 13–6 · nuke, 3 Oct →
36%Best headshot accuracy · 2–13 · dust2, 3 Oct →
391msFastest reaction time · 3–13 · office, 22 Aug →
13–1Biggest win · inferno, 23 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
3–13In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 70% over 20dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoS2014–670%0.01
dust2C145–936%-0.01
ancientB136–746%0.01
mirageC114–736%-0.01
nukeC114–736%0.01
cacheC114–736%-0.00
anubisC114–736%0.00
overpass—40–40%0.01
office—30–30%0.01
vertigo—10–10%-0.08
alpine—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,642Lifetime kills
0.97K/D
3,067Matches
43.5%Match win rate
41.6%Headshot %
10.9%Shot accuracy · Top 50% of Blue band
6,399MVPs
987Hours (in match)
2,459Bombs planted
618Bombs defused

Most-used weapons

AK-477,878
XM10144,234
AWP4,015
SG 5532,305
SSG 081,430
P901,099

Lifetime map wins

3,365dust2
2,511inferno
1,866nuke
1,419vertigo
1,232office
1,116train
572lake
484safehouse

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.

16.0%Headshot accuracy
31.8%Accuracy (enemy spotted)
41.0%Spray accuracy
75.3%Counter-strafing
11.4°Preaim
587msReaction time
32.5%T opening success
58.4%CT opening success
0.59Enemies flashed / flash
3.6%Flash assists
10.00HE damage / grenade
5.06Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.4961% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0215%30 Oct →
mirage13–90.0518%30 Oct →
mirage9–13-0.0419%30 Oct →
nuke9–130.0619%26 Oct →
cache9–13-0.0616%26 Oct →
nuke14–160.0816%26 Oct →
dust25–13-0.0226%24 Oct →
cache13–80.0211%24 Oct →
ancient10–130.009%23 Oct →
cache11–13-0.077%23 Oct →
nuke13–80.0431%23 Oct →
mirage13–100.0224%23 Oct →
inferno13–10.0112%23 Oct →
vertigo8–13-0.0812%23 Oct →
office10–13-0.0217%23 Oct →
ancient10–130.039%17 Oct →
anubis5–13-0.118%17 Oct →
inferno13–7-0.074%17 Oct →
nuke10–13-0.088%17 Oct →
cache11–130.0220%17 Oct →
anubis0–13-0.0727%16 Oct →
cache13–70.0520%16 Oct →
inferno11–130.0315%16 Oct →
dust26–13-0.0414%10 Oct →
dust213–6-0.0215%10 Oct →
inferno6–13-0.0133%10 Oct →
dust214–16-0.0215%10 Oct →
inferno9–130.0117%9 Oct →
anubis7–130.0314%9 Oct →
anubis13–50.0316%9 Oct →
dust213–80.0316%9 Oct →
dust213–100.0421%9 Oct →
dust211–13-0.0024%3 Oct →
mirage4–13-0.0112%3 Oct →
inferno13–90.0515%3 Oct →
dust22–13-0.0936%3 Oct →
nuke13–60.1615%3 Oct →
cache9–13-0.0424%3 Oct →
mirage8–13-0.0112%2 Oct →
ancient13–11-0.0422%2 Oct →
inferno13–100.0324%2 Oct →
dust213–9-0.0324%26 Sept →
inferno13–50.109%26 Sept →
ancient13–11-0.0317%18 Sept →
nuke11–13-0.0517%18 Sept →
inferno13–70.036%18 Sept →
inferno13–100.0333%12 Sept →
ancient13–16-0.0112%12 Sept →
ancient14–16-0.0113%11 Sept →
cache13–10-0.043%29 Aug →
anubis13–80.0522%29 Aug →
anubis8–13-0.0124%28 Aug →
ancient13–80.0528%28 Aug →
nuke13–100.0216%28 Aug →
dust214–16-0.0213%28 Aug →
office12–120.0221%28 Aug →
mirage6–130.0311%22 Aug →
dust27–130.0214%22 Aug →
office3–130.0120%22 Aug →
anubis13–70.1014%22 Aug →
ancient13–80.0313%22 Aug →
inferno13–9-0.0310%22 Aug →
inferno13–50.044%22 Aug →
ancient2–130.014%15 Aug →
inferno4–130.0226%15 Aug →
cache9–130.0514%1 Aug →
anubis9–130.037%18 Jul →
inferno5–13-0.0212%18 Jul →
dust213–100.0916%18 Jul →
anubis7–130.0619%18 Jul →
cache13–9-0.0616%18 Jul →
inferno13–110.0411%18 Jul →
ancient13–10-0.055%11 Jul →
cache11–130.127%11 Jul →
anubis13–100.046%11 Jul →
cache8–13-0.0015%10 Jul →
dust24–13-0.0213%10 Jul →
nuke13–16-0.0610%10 Jul →
mirage13–10-0.016%10 Jul →
inferno13–6-0.0413%10 Jul →
overpass14–160.0018%27 Jun →
overpass9–130.0015%20 Jun →
dust25–13-0.0124%20 Jun →
nuke13–10-0.0521%7 Jun →
mirage11–13-0.0823%7 Jun →
nuke11–13-0.065%6 Jun →
ancient13–60.1211%6 Jun →
mirage7–13-0.0117%6 Jun →
inferno13–30.0224%6 Jun →
alpine1–13-0.038%5 Jun →
overpass7–13-0.0011%5 Jun →
anubis5–13-0.115%30 May →
overpass8–130.0330%30 May →
mirage4–13-0.0110%30 May →
ancient8–130.117%29 May →
nuke9–130.018%29 May →
inferno2–13-0.058%23 May →
ancient9–13-0.0318%23 May →
mirage13–5-0.0212%14 May →
inferno13–3-0.0127%13 May →

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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