James

James — CS2 Stats

76561197971043224[U:1:10777496]Steam profile ↗✓ No bans

809Tracked matches34%Win rate2020Tracked since
CSDB Rating2.3 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 809
0.0ppWin rate · 34.5% → 34.5%

Rating over time

Premier CS Rating: 7,336 +1,772 13 Jan – 4 Jul · 25 days played
5,34211,314peak 11,31413 Jan4 Jul
11,314Peak Premier in tracked matches
36Days played since 2026-01-13

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

Performance scores

Aim20
Positioning40
Utility34

0–100 skill scores via Leetify.

Recent form

COLD39–58–3Last 10039%Win rateLLLLLWLLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · −21ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 615ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 625ms

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 (+1.4 against its own average).

Aim2.0
Utility3.4
Positioning4.0
Opening Duels0.4

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 64% 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

T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning4.0
Utility3.4
Mechanics1.6
Opening Duels1.3
Win Impact0.0

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time623ms+1ms
first ⅓ avg 622ms → last ⅓ avg 623ms
Headshot accuracy12.7%+3.2%
first ⅓ avg 9.5% → last ⅓ avg 12.7%

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

0.04Best match rating · 13–4 · anubis, 18 Mar →
35%Best headshot accuracy · 13–5 · nuke, 1 May →
422msFastest reaction time · 13–11 · inferno, 3 Jul →
13–2Biggest win · dust2, 20 Feb →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
8–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 15ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%-0.05
dust2C207–1335%-0.04
nukeC187–1139%-0.05
anubisA159–660%-0.03
mirageC73–443%-0.05
ancientD72–529%-0.04
cache—40–40%-0.03
overpass—40–40%-0.05
office—10–10%-0.05
train—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.45Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

12.6%Headshot accuracy
28.0%Accuracy (enemy spotted)
34.4%Spray accuracy
57.4%Counter-strafing
13.2°Preaim
635msReaction time
20.6%T opening success
40.2%CT opening success
0.51Enemies flashed / flash
1.7%Flash assists
10.49HE damage / grenade
2.39Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.186° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.5999% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 2.3867 — below the 4 mark we flag

    Grenade Lineups →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0417%3 Oct →
nuke5–13-0.0312%11 Sept →
anubis3–13-0.117%4 Aug →
inferno6–130.0315%24 Jul →
cache3–13-0.0517%24 Jul →
anubis16–13-0.048%11 Jul →
inferno10–13-0.045%11 Jul →
nuke8–130.0110%4 Jul →
nuke11–13-0.0710%3 Jul →
inferno13–110.0120%3 Jul →
inferno2–13-0.0615%3 Jul →
anubis13–6-0.0116%27 Jun →
inferno9–13-0.0316%27 Jun →
office12–12-0.058%27 Jun →
inferno8–13-0.0218%27 Jun →
anubis13–7-0.073%19 Jun →
nuke13–11-0.068%4 Jun →
mirage1–13-0.1113%29 May →
dust211–13-0.0521%22 May →
nuke13–8-0.0711%22 May →
dust213–60.0212%22 May →
nuke5–13-0.0619%22 May →
inferno13–4-0.057%20 May →
anubis13–16-0.0011%20 May →
inferno6–13-0.059%20 May →
dust216–13-0.0712%18 May →
inferno2–13-0.088%18 May →
nuke10–13-0.0320%18 May →
nuke13–11-0.0217%15 May →
inferno7–13-0.0617%15 May →
mirage2–13-0.078%15 May →
mirage7–13-0.0120%15 May →
dust27–13-0.0814%15 May →
inferno7–13-0.0412%12 May →
dust213–4-0.0120%12 May →
dust213–10-0.0112%12 May →
anubis4–130.0212%8 May →
dust26–13-0.0115%8 May →
anubis9–13-0.068%8 May →
overpass3–13-0.075%8 May →
cache8–13-0.0715%8 May →
nuke13–110.0214%8 May →
cache6–13-0.009%8 May →
mirage13–9-0.0310%6 May →
dust213–10-0.0612%5 May →
dust28–13-0.0710%5 May →
inferno13–16-0.0511%5 May →
dust211–13-0.0614%1 May →
mirage5–13-0.035%1 May →
dust28–13-0.0321%1 May →
nuke13–50.0135%1 May →
cache10–13-0.019%1 May →
anubis13–11-0.0421%26 Apr →
inferno13–90.0015%26 Apr →
ancient8–13-0.0715%26 Apr →
dust22–13-0.0318%26 Apr →
overpass9–13-0.039%25 Apr →
nuke5–13-0.0016%25 Apr →
nuke12–16-0.1318%24 Apr →
anubis13–110.0115%24 Apr →
anubis13–5-0.0110%18 Mar →
anubis13–40.0416%18 Mar →
nuke6–13-0.0910%18 Mar →
mirage13–7-0.054%7 Mar →
inferno13–10-0.0511%6 Mar →
inferno16–12-0.094%6 Mar →
dust22–13-0.099%6 Mar →
anubis11–13-0.066%20 Feb →
dust213–2-0.0313%20 Feb →
inferno16–12-0.047%20 Feb →
nuke13–16-0.0513%20 Feb →
anubis5–13-0.096%20 Feb →
overpass7–13-0.097%20 Feb →
dust211–13-0.087%16 Feb →
ancient4–13-0.062%6 Feb →
mirage13–9-0.036%6 Feb →
dust26–13-0.0410%6 Feb →
dust215–15-0.039%6 Feb →
nuke2–13-0.0716%6 Feb →
inferno15–15-0.064%31 Jan →
inferno13–9-0.0619%31 Jan →
anubis13–10-0.039%30 Jan →
inferno13–11-0.093%30 Jan →
dust23–130.0319%30 Jan →
anubis13–90.027%30 Jan →
inferno16–14-0.0917%17 Jan →
ancient7–13-0.0010%17 Jan →
nuke13–8-0.0211%17 Jan →
ancient13–6-0.019%16 Jan →
inferno13–8-0.049%16 Jan →
nuke8–13-0.099%16 Jan →
ancient10–13-0.037%15 Jan →
train13–40.037%15 Jan →
inferno9–13-0.027%15 Jan →
ancient7–13-0.0712%15 Jan →
dust213–9-0.065%14 Jan →
dust211–13-0.0715%14 Jan →
nuke13–2-0.068%14 Jan →
ancient13–10-0.0410%13 Jan →
overpass10–13-0.0316%13 Jan →

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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