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packrunnerπŸ––

packrunnerπŸ–– β€” CS2 Stats

DE76561197972634401[U:1:12368673]Steam profile β†—VAC banned

3,855Tracked matches60%Win rate2021Tracked since
CSDB Rating5.9 SolidAggressive Rifler
FaceitLevel 9 Β· 1,610 ELOTop 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGpackrunnerπŸ––FACEITLevel 9 Β· 1,610 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLLWLWWWWLW

Last 10 vs previous 10: +10pp win rate Β· +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.5
Utility5.6
Positioning5.3
Opening Duels3.4
Clutch3.0

Strong CT-side opener

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

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

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 53% on CT to 34% on T β€” the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.5
Positioning5.3
Utility5.6
Mechanics5.7
Opening Duels3.4
Win Impact8.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first β…“ avg -0.02 β†’ last β…“ avg -0.01
Reaction time541msβˆ’42ms
first β…“ avg 583ms β†’ last β…“ avg 541ms
Headshot accuracy16.3%βˆ’1.4%
first β…“ avg 17.7% β†’ last β…“ avg 16.3%

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

0.11Best rating β€” ancient 13–1
13–1Biggest win β€” ancient
5Longest win streak
L2Current streak
10–5In matches decided by ≀2 rounds
7Overtime games

Map breakdown

infernoBest map Β· 80% over 5dust2Weakest map Β· 46% over 26
MapGradePlayedRecordWin rateAvg rating
ancientA2917–1259%0.00
dust2B2612–1446%-0.01
mirageB147–750%-0.02
nukeS128–467%-0.00
anubisS64–267%-0.02
cacheA53–260%-0.02
infernoS54–180%0.03
vertigoβ€”11–0100%-0.03
officeβ€”10–10%-0.03
poseidonβ€”10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,269Matches
50%Win rate
0.97Avg K/D
76.7ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient63557%1.0315.7
Dust234948%0.9314.3
Anubis30351%1.0214.5
Mirage24639%0.8413.7
Nuke19043%0.9114.3
Inferno13738%0.9314.5
Train10957%1.0014.1
Overpass9250%0.9615.5

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
41.5%Spray accuracy
75.8%Counter-strafing
10.0Β°Preaim
528msReaction time
34.5%T opening success
52.6%CT opening success
0.67Enemies flashed / flash
6.7%Flash assists
4.05HE damage / grenade
9.75Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.4974% β€” below the 40% mark we flag

Spend your practice time on Dust 2

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

46% win rate across 26 tracked games β€” your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0615%27 Aug β†’
dust28–13-0.0116%7 Aug β†’
vertigo16–13-0.0315%6 Aug β†’
dust214–160.0418%30 Jul β†’
ancient13–80.0124%28 Jul β†’
dust213–10-0.0416%28 Jul β†’
ancient13–10.1126%23 Jul β†’
ancient13–50.025%23 Jul β†’
ancient10–13-0.019%21 Jul β†’
cache13–9-0.0612%17 Jul β†’
anubis13–6-0.0118%11 Jul β†’
office7–13-0.0316%10 Jul β†’
mirage13–11-0.0211%7 Jul β†’
cache7–13-0.0125%6 Jul β†’
ancient13–80.0910%5 Jul β†’
ancient11–13-0.0615%3 Jul β†’
cache13–80.0027%3 Jul β†’
inferno13–80.0317%1 Jul β†’
dust28–13-0.0228%30 Jun β†’
ancient9–13-0.0415%27 Jun β†’
ancient13–11-0.0124%26 Jun β†’
dust210–13-0.0316%23 Jun β†’
mirage19–15-0.0416%22 Jun β†’
ancient13–110.0714%22 Jun β†’
dust213–80.0314%20 Jun β†’
ancient1–13-0.079%20 Jun β†’
nuke9–10.077%18 Jun β†’
poseidon4–9-0.0728%18 Jun β†’
nuke13–11-0.029%13 Jun β†’
dust213–8-0.0418%13 Jun β†’
anubis13–8-0.0013%13 Jun β†’
ancient11–13-0.0817%13 Jun β†’
ancient13–20.0313%12 Jun β†’
anubis7–13-0.0716%12 Jun β†’
dust210–130.0720%12 Jun β†’
dust210–13-0.0524%10 Jun β†’
mirage6–13-0.0725%10 Jun β†’
nuke8–13-0.0512%9 Jun β†’
inferno13–70.0615%9 Jun β†’
ancient13–30.0620%9 Jun β†’
mirage13–30.0124%9 Jun β†’
anubis13–50.0216%9 Jun β†’
ancient13–80.0710%9 Jun β†’
mirage9–130.0415%8 Jun β†’
nuke13–60.0136%8 Jun β†’
mirage1–13-0.0320%7 Jun β†’
mirage13–40.0119%6 Jun β†’
dust213–20.0420%5 Jun β†’
nuke13–80.0123%5 Jun β†’
mirage13–11-0.0113%4 Jun β†’
dust24–130.0019%3 Jun β†’
mirage13–50.0821%3 Jun β†’
dust28–13-0.0312%3 Jun β†’
mirage9–13-0.0315%3 Jun β†’
nuke13–90.0819%2 Jun β†’
nuke7–13-0.0919%1 Jun β†’
dust213–80.0717%1 Jun β†’
ancient16–130.0212%30 May β†’
inferno13–30.0519%28 May β†’
anubis13–70.0312%27 May β†’
dust22–13-0.0213%27 May β†’
ancient13–50.0020%27 May β†’
dust213–70.0617%22 May β†’
mirage3–13-0.0516%22 May β†’
nuke16–130.0314%3 May β†’
dust213–110.0119%2 May β†’
ancient13–110.0016%1 May β†’
cache13–6-0.0219%29 Apr β†’
cache5–130.0014%29 Apr β†’
nuke13–70.0223%27 Apr β†’
ancient13–80.0211%26 Apr β†’
ancient11–13-0.0710%26 Apr β†’
ancient13–9-0.0113%22 Apr β†’
dust29–130.0325%21 Apr β†’
mirage4–13-0.180%21 Apr β†’
mirage8–13-0.0524%21 Apr β†’
dust213–70.0123%21 Apr β†’
ancient7–13-0.049%19 Apr β†’
nuke13–16-0.0618%17 Apr β†’
dust24–13-0.0916%16 Apr β†’
nuke13–9-0.0128%15 Apr β†’
nuke4–9-0.0415%15 Apr β†’
dust27–13-0.0726%13 Apr β†’
dust213–110.0122%13 Apr β†’
ancient14–16-0.0021%13 Apr β†’
ancient7–13-0.0517%13 Apr β†’
inferno13–8-0.0122%13 Apr β†’
dust26–13-0.0828%12 Apr β†’
dust213–110.0014%12 Apr β†’
mirage13–80.0418%12 Apr β†’
ancient4–130.026%12 Apr β†’
ancient5–13-0.0210%12 Apr β†’
inferno8–130.0317%12 Apr β†’
ancient13–5-0.0223%12 Apr β†’
dust213–11-0.0519%11 Apr β†’
ancient10–13-0.0417%11 Apr β†’
dust213–90.0119%11 Apr β†’
anubis3–13-0.0930%11 Apr β†’
ancient13–80.0215%11 Apr β†’
ancient13–90.0816%11 Apr β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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