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James

James — CS2 Stats

76561197971043224[U:1:10777496]Steam profile ↗

807Tracked matches34%Win rate2020Tracked since
CSDB Rating2.2 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning37
Utility36

0–100 skill scores via Leetify.

Recent form

COLD39–58–3Last 10039%Win rateLLLWLLLWLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim1.9
Aggression2.7
Utility3.6
Positioning3.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 67% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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 39% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.9
Positioning3.7
Utility3.6
Mechanics1.7
Opening Duels1.1
Win Impact0.0

Composite 2.2/10 (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 time633ms+10ms
first ⅓ avg 623ms → last ⅓ avg 633ms
Headshot accuracy12.8%+3.6%
first ⅓ avg 9.2% → last ⅓ avg 12.8%

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

0.04Best rating — anubis 13–4
13–2Biggest win — dust2
3Longest win streak
L3Current streak
8–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 15ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%-0.04
dust2D217–1433%-0.04
nukeC177–1041%-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
27.6%Accuracy (enemy spotted)
34.8%Spray accuracy
57.8%Counter-strafing
13.5°Preaim
637msReaction time
16.2%T opening success
39.1%CT opening success
0.55Enemies flashed / flash
1.7%Flash assists
10.34HE damage / grenade
2.51Flashes / 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 13.5096° — 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 12.5873% — 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 2.5096 — 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
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 →
inferno1–13-0.039%12 Jan →
dust20–3-0.020%12 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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