pN/777

pN/777 — CS2 Stats

DE76561197984637968[U:1:24372240]Steam profile ↗

1,750Tracked matches57%Win rate2020Tracked since
4,282Hours in CS18Hrs last 2 wks
CSDB Rating6.0 SolidAggressive Rifler
Premier CS Rating18,444Purple band · top ~14.7% of ranked players (population est.)
CSDB Leaderboard#25673 of 55341 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate46.5%44.2%47.1%meets
Shot accuracy18.7%11.6%12.8%above
Kill/death ratio1.241.031.08above
Match win rate47.4%45.2%46.6%meets

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGpN/777PREMIER18,444 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWLWWWWLWL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.7
Utility5.5
Positioning4.9
Opening Duels3.3
Clutch1.8

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.

Your pro match

ropz

Plays most like ropz 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.5
Positioning4.9
Utility5.5
Mechanics6.0
Opening Duels3.3
Win Impact7.2

Composite 6.0/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time587ms−66ms
first ⅓ avg 654ms → last ⅓ avg 587ms
Headshot accuracy18.2%+1.4%
first ⅓ avg 16.8% → last ⅓ avg 18.2%

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

0.25Best rating — inferno 9–1
130Biggest win — dust2
8Longest win streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B37172046%-0.00
infernoC146843%0.01
nukeB137654%-0.01
ancientA117464%0.02
cacheB105550%-0.01
anubisA85363%-0.00
mirage4040%-0.01
overpass31233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,164Lifetime kills
1.24K/D · Top 25% of Purple band
5,801Matches
47.4%Match win rate · Top 50% of Purple band
46.5%Headshot % · Top 50% of Purple band
18.7%Shot accuracy · Top 5% of Purple band
19,774MVPs
2,677Hours (in match)
6,723Bombs planted
1,772Bombs defused

Most-used weapons

AK-4748,438
AWP13,177
P907,396
P2507,091
FAMAS3,386
MP72,848

Lifetime map wins

24,314dust2
9,996inferno
5,282nuke
1,520train
1,152cbble
965vertigo
258aztec
231office

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

Faceit stats

Combat

528Matches
51%Win rate
1.14Avg K/D
78.1ADR
39%Headshot %

Clutches & streaks

29%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2952%1.0215.1
Dust22763%1.0414.2
Anubis2654%0.9914.5
Nuke1155%1.0614.1
Ancient1164%1.0013.6
Mirage1070%1.0917.2
Vertigo838%0.9415.8
Cache333%0.7215.7

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.

18.2%Headshot accuracy
40.6%Accuracy (enemy spotted)
43.0%Spray accuracy
77.0%Counter-strafing
12.0°Preaim
582msReaction time
35.4%T opening success
51.3%CT opening success
0.59Enemies flashed / flash
6.3%Flash assists
10.37HE damage / grenade
7.92Flashes / 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 12.0432° — above the 12° mark we flag

    Aim Training
Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–130.0219%30 Aug
dust213–80.0021%29 Aug
dust25–13-0.038%29 Aug
dust213–8-0.0423%29 Aug
inferno13–4-0.0019%29 Aug
anubis13–100.016%29 Aug
nuke13–10-0.0117%28 Aug
dust210–13-0.0515%28 Aug
cache13–10-0.009%24 Aug
anubis11–13-0.010%24 Aug
inferno16–120.1423%24 Aug
nuke10–13-0.0230%20 Aug
cache16–140.0523%20 Aug
dust213–3-0.0753%19 Aug
mirage6–13-0.0710%18 Aug
dust213–90.0117%16 Aug
inferno11–13-0.0124%16 Aug
inferno7–13-0.0210%15 Aug
inferno5–13-0.0516%14 Aug
nuke13–40.0712%14 Aug
cache8–13-0.0324%14 Aug
dust29–13-0.0025%14 Aug
dust213–70.0713%11 Aug
dust213–70.018%11 Aug
dust25–13-0.0315%11 Aug
nuke13–100.0224%11 Aug
inferno9–13-0.0319%10 Aug
nuke13–100.0218%10 Aug
ancient13–60.0129%10 Aug
cache13–9-0.0120%10 Aug
cache13–90.028%10 Aug
anubis13–11-0.0328%10 Aug
ancient13–90.0114%10 Aug
anubis13–8-0.0114%10 Aug
nuke13–10-0.0114%9 Aug
dust25–13-0.0627%3 Aug
cache15–19-0.0218%31 Jul
dust213–100.0424%28 Jul
dust216–130.0420%20 Jul
anubis13–110.0811%19 Jul
dust213–3-0.0529%19 Jul
mirage8–130.0118%16 Jul
nuke9–13-0.068%14 Jul
ancient8–13-0.018%12 Jul
nuke13–16-0.0517%11 Jul
dust26–13-0.0815%11 Jul
dust213–50.0216%10 Jul
cache13–8-0.1021%10 Jul
dust213–00.0339%10 Jul
inferno15–15-0.0419%9 Jul
cache5–13-0.0527%7 Jul
cache12–12-0.0716%3 Jul
dust211–13-0.0120%1 Jul
nuke13–60.0419%29 Jun
dust28–13-0.0425%29 Jun
dust29–13-0.0617%24 Jun
ancient4–130.0527%24 Jun
ancient14–16-0.0415%17 Jun
dust213–100.1126%17 Jun
overpass14–160.0114%15 Jun
dust216–130.0119%12 Jun
ancient13–70.1118%9 Jun
inferno9–13-0.0220%9 Jun
dust26–130.0222%9 Jun
anubis4–130.0227%8 Jun
dust27–130.0319%7 Jun
dust29–13-0.016%7 Jun
overpass6–13-0.0810%7 Jun
mirage10–130.0022%27 May
dust211–130.0718%27 May
dust212–12-0.0315%20 May
nuke6–130.0227%19 May
anubis11–13-0.0411%19 May
ancient13–5-0.0321%19 May
anubis13–9-0.0315%19 May
dust213–90.0414%19 May
dust26–13-0.0522%18 May
dust213–110.0518%18 May
nuke13–60.0114%17 May
nuke5–13-0.0913%17 May
ancient13–110.0516%17 May
inferno10–13-0.0611%17 May
dust27–130.0119%16 May
inferno4–130.046%16 May
overpass13–2-0.0016%16 May
dust213–11-0.046%12 May
dust28–13-0.0716%12 May
ancient5–13-0.0023%12 May
ancient13–40.0520%12 May
dust25–130.0116%10 May
ancient13–70.0112%10 May
inferno13–80.0213%5 May
inferno13–6-0.009%5 May
inferno13–10-0.0213%5 May
dust29–130.0030%5 May
nuke10–130.0021%3 May
dust213–40.0215%3 May
mirage15–150.0117%3 May
inferno9–10.2534%3 May
cache12–120.0821%3 May

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 →