James P. Civilian

James P. Civilian — CS2 Stats

76561198124433419[U:1:164167691]Steam profile ↗✓ No bans

902Tracked matches60%Win rate2021Tracked since
1,199Hours in CS
CSDB Rating5.3 Developing
Premier CS Rating18,040Purple band · top ~16.3% of ranked players (population est.)
CSDB Leaderboard#12183 of 23132 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.5%44.1%47.2%10.7% short
Shot accuracy13.6%11.4%12.7%above
Kill/death ratio1.341.031.09above
Match win rate34.6%45.2%46.6%12.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

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CSDB.GGJames P. CivilianPREMIER18,040 · Purple bandcsdb.gg/stats

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Performance scores

Aim33
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

HOT48493Last 10048%Win rateWWLLWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim3.3
Aggression8.4
Utility6.9
Positioning5.8
Opening Duels3.4

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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 52% on CT to 36% 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.

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

Aim3.3
Positioning5.8
Utility6.9
Mechanics6.2
Opening Duels3.4
Win Impact8.3

Composite 5.3/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time637ms+12ms
first ⅓ avg 625ms → last ⅓ avg 637ms
Headshot accuracy15.0%−0.8%
first ⅓ avg 15.8% → last ⅓ avg 15.0%

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

0.15Best rating — cache 11–13
132Biggest win — overpass
7Longest win streak
W2Current streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 88% over 8dust2Weakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB24131154%-0.01
dust2D1741324%-0.02
mirageC1771041%-0.01
overpassS118373%-0.01
ancientS87188%-0.01
nukeD72529%-0.00
anubisC73443%-0.02
cacheD62433%0.01
train32167%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,191Lifetime kills
1.34K/D · Top 10% of Purple band
4,446Matches
34.6%Match win rate
36.5%Headshot %
13.6%Shot accuracy · Top 50% of Purple band
7,097MVPs
1,199Hours (in match)
3,495Bombs planted
564Bombs defused

Most-used weapons

AK-4723,453
AWP14,017
P902,354
SSG 081,983
P2501,897
MAC-101,885

Lifetime map wins

6,705dust2
3,263inferno
1,345nuke
958vertigo
354assault
348train
245lake
213cbble

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.

15.1%Headshot accuracy
26.0%Accuracy (enemy spotted)
28.3%Spray accuracy
78.1%Counter-strafing
12.1°Preaim
635msReaction time
36.0%T opening success
51.6%CT opening success
0.70Enemies flashed / flash
5.5%Flash assists
11.71HE damage / grenade
12.90Flashes / 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 12.0772° — above the 12° mark we flag

    Aim Training
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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0213%6 Aug
ancient13–7-0.0211%5 Aug
dust212–16-0.0620%4 Aug
mirage4–13-0.0418%3 Aug
ancient13–90.0210%31 Jul
nuke13–80.0714%31 Jul
inferno13–60.089%30 Jul
inferno13–9-0.0116%30 Jul
mirage13–8-0.0126%26 Jul
ancient13–7-0.0016%26 Jul
inferno13–90.0018%24 Jul
anubis10–13-0.0510%24 Jul
mirage13–80.0118%24 Jul
inferno11–130.0620%24 Jul
ancient13–11-0.0516%24 Jul
anubis13–10-0.0210%23 Jul
dust26–13-0.0515%23 Jul
mirage10–13-0.0114%23 Jul
inferno4–13-0.0613%23 Jul
inferno4–13-0.0914%22 Jul
ancient13–30.0821%20 Jul
inferno13–11-0.0013%19 Jul
ancient6–130.019%19 Jul
inferno13–70.0519%19 Jul
inferno5–13-0.0614%18 Jul
mirage13–7-0.0216%18 Jul
inferno4–130.0213%18 Jul
inferno8–13-0.0917%17 Jul
mirage13–110.0313%13 Jul
dust213–70.0118%12 Jul
cache13–6-0.0413%12 Jul
inferno9–13-0.0816%11 Jul
cache13–60.0414%11 Jul
dust28–13-0.0616%11 Jul
cache7–13-0.0316%11 Jul
mirage15–15-0.0311%11 Jul
cache2–13-0.0419%11 Jul
mirage11–13-0.0522%10 Jul
cache11–130.1529%8 Jul
nuke15–150.0215%6 Jul
anubis11–130.0420%6 Jul
inferno13–70.067%5 Jul
overpass2–13-0.0924%5 Jul
cache5–130.0021%3 Jul
overpass13–8-0.065%25 Apr
overpass13–10-0.0113%27 Jan
anubis7–13-0.0413%27 Jan
ancient13–10-0.0324%26 Jan
anubis16–130.016%26 Jan
inferno8–13-0.0217%25 Jan
dust213–8-0.0318%25 Jan
anubis13–11-0.0112%24 Jan
mirage13–40.0214%24 Jan
mirage13–110.057%23 Jan
anubis13–16-0.0311%23 Jan
ancient13–9-0.0516%23 Jan
inferno13–9-0.039%21 Jan
overpass13–50.0413%20 Jan
dust213–16-0.049%19 Jan
nuke2–13-0.0720%18 Jan
mirage5–13-0.094%18 Jan
dust26–13-0.0411%18 Jan
dust213–30.0517%17 Jan
overpass13–9-0.0316%17 Jan
nuke7–13-0.015%17 Jan
inferno13–9-0.0423%14 Jan
dust29–13-0.0116%12 Jan
nuke9–13-0.0011%11 Jan
dust23–13-0.1226%11 Jan
dust213–90.0313%11 Jan
overpass13–40.036%11 Jan
nuke13–90.0518%11 Jan
dust210–130.0017%10 Jan
overpass10–130.0125%9 Jan
mirage1–13-0.0815%9 Jan
dust27–13-0.0216%4 Jan
inferno13–110.037%3 Jan
inferno14–16-0.019%3 Jan
train13–8-0.0523%3 Jan
train13–10-0.0310%3 Jan
train1–130.0026%3 Jan
overpass13–4-0.016%2 Jan
dust25–13-0.0215%1 Jan
inferno13–4-0.0110%1 Jan
mirage13–70.0416%31 Dec
inferno13–90.0523%31 Dec
dust26–130.0318%30 Dec
mirage14–16-0.0317%30 Dec
overpass13–11-0.0218%29 Dec
inferno4–13-0.028%29 Dec
inferno13–100.0017%29 Dec
nuke5–13-0.0916%29 Dec
dust213–16-0.0217%28 Dec
inferno13–16-0.0319%7 Dec
overpass15–15-0.0317%6 Dec
mirage10–130.0225%2 Dec
overpass13–20.0113%30 Nov
mirage11–130.0416%30 Nov
mirage10–13-0.0216%30 Nov
dust26–13-0.0214%30 Nov

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 →