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Scottie Pimpin

Scottie Pimpin — CS2 Stats

US76561197960689434[U:1:423706]Steam profile ↗✓ No bans

2,349Tracked matches48%Win rate2020Tracked since
7,847Hours in CS1Hrs last 2 wks
CSDB Rating4.2 Developing
FaceitLevel 4 · 1,031 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGScottie PimpinFACEITLevel 4 · 1,031 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning41
Utility42

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateLWWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.6
Aggression5.0
Utility4.2
Positioning4.1
Opening Duels1.5
Clutch2.4

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

NiKo

Plays most like NiKo 83% playstyle similarity

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

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

Reaction time. 665ms 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

Aim5.6
Positioning4.1
Utility4.2
Mechanics6.5
Opening Duels1.5
Win Impact4.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time660ms+18ms
first ⅓ avg 642ms → last ⅓ avg 660ms
Headshot accuracy12.1%+2.0%
first ⅓ avg 10.1% → last ⅓ avg 12.1%

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

0.07Best rating — inferno 13–5
13–2Biggest win — mirage
12Longest win streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 68% over 19overpassWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.03
dust2C219–1243%-0.03
infernoS1913–668%-0.01
ancientB168–850%-0.03
nukeB126–650%-0.03
overpassC52–340%-0.02
train—21–150%-0.03
office—10–10%-0.12
anubis—11–0100%0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

232,251Lifetime kills
0.93K/D
9,488Matches
42.0%Match win rate
35.3%Headshot %
18.5%Shot accuracy · Top 10% of tracked players
20,081MVPs
5,810Hours (in match)
14,551Bombs planted
2,499Bombs defused

Most-used weapons

AK-4770,304
M4A4 / M4A1-S57,594
P25010,481
P2000 / USP-S10,079
AWP9,478
P909,423
AUG7,781
Glock-186,907
Desert Eagle5,846
FAMAS5,797

Lifetime map wins

26,446inferno
11,482dust2
6,961nuke
5,807train
2,026cbble
1,929vertigo
934office
745dust

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

Faceit stats

Combat

152Matches
49%Win rate
1.06Avg K/D
69.8ADR
33%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1729%0.9013.5
Ancient1735%0.9015.0
Train475%1.8018.0
Dust2450%0.6211.3
Anubis367%0.6912.3
Cache333%1.0614.3
Overpass333%0.7011.3
Mirage2100%0.8222.0

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.

11.9%Headshot accuracy
40.0%Accuracy (enemy spotted)
45.5%Spray accuracy
79.3%Counter-strafing
13.8°Preaim
665msReaction time
29.7%T opening success
42.3%CT opening success
0.53Enemies flashed / flash
8.1%Flash assists
8.75HE damage / grenade
5.79Flashes / 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 13.8041° — 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 11.932% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0320%15 Aug →
mirage13–30.0211%10 Jul →
mirage13–70.044%10 Jul →
mirage10–130.0012%24 Jun →
ancient9–13-0.0613%24 Jun →
ancient13–11-0.0513%22 Jun →
inferno13–90.059%22 Jun →
ancient13–80.0212%22 Jun →
inferno13–6-0.0314%22 Jun →
inferno13–30.029%22 Jun →
ancient5–13-0.0811%22 Jun →
mirage3–13-0.086%15 Apr →
mirage13–20.006%15 Apr →
ancient13–30.055%15 Apr →
inferno10–13-0.058%15 Apr →
dust213–90.0114%15 Apr →
inferno13–80.0110%15 Apr →
mirage10–13-0.0313%15 Apr →
ancient13–10-0.0210%27 Mar →
inferno7–13-0.0612%27 Mar →
dust29–13-0.0412%17 Mar →
ancient15–15-0.019%17 Mar →
mirage5–13-0.1017%17 Mar →
inferno13–50.079%17 Mar →
ancient6–13-0.089%17 Mar →
mirage6–13-0.0514%16 Mar →
dust210–130.0313%16 Mar →
dust26–13-0.0418%16 Mar →
mirage13–110.0520%16 Mar →
mirage14–16-0.0518%22 Feb →
dust213–4-0.0613%22 Feb →
inferno13–90.0221%22 Feb →
mirage8–13-0.0612%22 Feb →
dust23–13-0.0719%22 Feb →
dust27–13-0.0412%22 Feb →
mirage13–7-0.0316%22 Feb →
ancient13–7-0.042%22 Feb →
dust216–140.0214%22 Feb →
dust21–13-0.0618%22 Feb →
mirage4–13-0.0915%18 Feb →
dust212–12-0.0310%18 Feb →
office6–13-0.1213%18 Feb →
nuke11–13-0.082%18 Feb →
nuke13–6-0.078%18 Feb →
ancient13–7-0.0911%27 Jan →
inferno13–5-0.0528%27 Jan →
inferno13–40.0315%27 Jan →
anubis13–50.0013%27 Jan →
dust22–13-0.0620%27 Jan →
nuke15–15-0.048%24 Jan →
nuke10–13-0.059%26 Dec →
dust213–50.0411%26 Dec →
dust211–13-0.039%22 Nov →
dust216–12-0.0115%22 Nov →
inferno8–13-0.0412%14 Nov →
ancient13–90.036%14 Nov →
nuke8–13-0.085%6 Nov →
nuke10–130.0018%6 Nov →
overpass10–130.0311%6 Nov →
mirage15–15-0.046%6 Nov →
inferno8–13-0.0211%6 Nov →
mirage10–13-0.0118%3 Nov →
nuke16–13-0.0415%3 Nov →
dust213–70.0313%3 Nov →
mirage13–11-0.0311%3 Nov →
nuke8–130.0110%3 Nov →
dust27–13-0.0614%1 Nov →
dust214–16-0.093%1 Nov →
mirage14–16-0.0913%26 Oct →
overpass8–13-0.079%26 Oct →
nuke13–11-0.039%17 Oct →
mirage6–2-0.0210%17 Oct →
inferno8–13-0.0713%17 Oct →
train16–13-0.033%17 Oct →
dust213–9-0.0813%17 Oct →
nuke13–11-0.044%17 Oct →
nuke13–4-0.0017%23 Sept →
overpass13–70.018%23 Sept →
dust213–7-0.0110%23 Sept →
nuke13–50.0716%23 Sept →
inferno13–9-0.0012%23 Sept →
inferno13–7-0.0214%20 Sept →
inferno13–30.0114%20 Sept →
ancient13–11-0.039%20 Sept →
mirage13–8-0.0811%19 Sept →
dust25–13-0.0513%19 Sept →
mirage6–13-0.0511%19 Sept →
mirage7–00.065%19 Sept →
ancient5–13-0.0310%19 Sept →
overpass13–11-0.046%14 Sept →
mirage13–40.0110%14 Sept →
train12–16-0.0213%14 Sept →
ancient8–130.0112%13 Sept →
inferno13–90.0012%13 Sept →
inferno13–80.047%13 Sept →
mirage13–7-0.0316%13 Sept →
overpass10–13-0.0212%13 Sept →
inferno9–13-0.023%13 Sept →
ancient3–13-0.0413%13 Sept →
dust213–6-0.007%12 Sept →

Match data via Leetify.

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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