pack

pack — CS2 Stats

US76561198004487080[U:1:44221352]Steam profile ↗✓ No bans

1,130Tracked matches31%Win rate2020Tracked since
1,765Hours in CS20Hrs last 2 wks
CSDB Rating4.6 DevelopingPassive Rifler
Premier CS Rating12,570Blue band · top ~41.3% of ranked players (population est.)
CSDB Leaderboard#4868 of 6925 tracked
FaceitLevel 6 · 1,349 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpackFACEITLevel 6 · 1,349 ELOSTANDINGTop 54.0% of rankedPREMIER12,570 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning47
Utility53

0–100 skill scores via Leetify.

Recent form

COLD40582Last 10040%Win rateLLLLLLWLWL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression4.1
Utility5.3
Positioning4.7
Opening Duels0.9
Clutch4.0

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, 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 46% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim6.4
Positioning4.7
Utility5.3
Mechanics6.4
Opening Duels2.1
Win Impact0.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time630ms−10ms
first ⅓ avg 640ms → last ⅓ avg 630ms
Headshot accuracy20.6%+2.6%
first ⅓ avg 18.0% → last ⅓ avg 20.6%

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

0.10Best rating — ancient 13–3
130Biggest win — anubis
5Longest win streak
L6Current streak
911In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 55% over 11infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C28121643%-0.01
anubisC2291341%-0.03
ancientC1881044%-0.02
cacheA116555%-0.01
mirageD92722%-0.01
infernoD81713%-0.01
nuke42250%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,771Lifetime kills
1.15K/D · Top 50% of tracked players
2,636Matches
45.4%Match win rate
40.1%Headshot %
11.1%Shot accuracy
5,629MVPs
951Hours (in match)
2,044Bombs planted
400Bombs defused

Most-used weapons

Lifetime map wins

8,162dust2
2,251inferno
1,421nuke
613train
437vertigo
101office
75cbble
34dust

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

Faceit stats

Combat

236Matches
51%Win rate
1.05Avg K/D
79.6ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust25753%1.0214.8
Mirage4657%1.0815.6
Inferno3563%1.1016.7
Ancient3040%0.9815.4
Anubis2748%1.0816.5
Nuke2060%0.9613.7
Train617%1.1218.8
Overpass560%1.1217.0

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.

20.6%Headshot accuracy
29.5%Accuracy (enemy spotted)
38.5%Spray accuracy
79.0%Counter-strafing
9.3°Preaim
625msReaction time
21.2%T opening success
46.4%CT opening success
0.54Enemies flashed / flash
6.4%Flash assists
5.30HE damage / grenade
14.79Flashes / 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

    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 21.1768% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.068%25 Aug
cache11–13-0.0123%25 Aug
mirage14–160.0420%24 Aug
mirage7–13-0.0412%23 Aug
dust211–130.0219%23 Aug
anubis11–13-0.0618%23 Aug
anubis13–10-0.0118%22 Aug
ancient8–130.0115%22 Aug
mirage13–110.0113%22 Aug
cache7–130.0828%22 Aug
dust213–70.0728%22 Aug
dust213–10-0.0150%21 Aug
nuke13–100.0219%21 Aug
ancient9–13-0.0411%21 Aug
dust210–13-0.0219%19 Aug
nuke9–130.0433%19 Aug
dust24–13-0.0923%19 Aug
mirage11–13-0.0318%16 Aug
dust215–15-0.0224%16 Aug
anubis8–13-0.0322%16 Aug
anubis7–130.0116%16 Aug
inferno5–130.0024%15 Aug
nuke7–13-0.0026%15 Aug
anubis8–13-0.0419%15 Aug
anubis5–13-0.0419%15 Aug
dust213–11-0.0420%15 Aug
ancient13–6-0.0210%15 Aug
dust213–80.0337%15 Aug
dust210–130.0416%11 Aug
ancient13–11-0.0113%11 Aug
anubis6–13-0.1228%11 Aug
dust25–130.0014%7 Aug
ancient8–13-0.0521%7 Aug
anubis9–13-0.0829%6 Aug
dust213–10-0.0513%6 Aug
dust213–10-0.0415%6 Aug
ancient10–13-0.0414%2 Aug
dust27–13-0.0321%2 Aug
anubis16–14-0.0315%2 Aug
ancient12–16-0.0221%2 Aug
ancient13–30.0719%31 Jul
anubis13–110.0213%31 Jul
cache7–13-0.0219%31 Jul
dust210–130.0117%30 Jul
dust24–13-0.0424%30 Jul
ancient6–13-0.0917%30 Jul
anubis13–11-0.0218%30 Jul
inferno15–150.0117%27 Jul
anubis13–80.0220%27 Jul
anubis9–13-0.0810%26 Jul
anubis4–13-0.0318%26 Jul
dust213–9-0.0115%26 Jul
anubis7–13-0.0118%26 Jul
ancient0–13-0.0411%26 Jul
cache6–13-0.076%25 Jul
dust211–13-0.0015%25 Jul
inferno10–130.0120%22 Jul
nuke13–3-0.0114%22 Jul
mirage11–130.0212%21 Jul
inferno6–13-0.0218%21 Jul
anubis3–13-0.0921%20 Jul
cache13–5-0.0322%20 Jul
anubis13–9-0.0135%20 Jul
cache3–13-0.049%18 Jul
ancient11–13-0.0423%18 Jul
anubis13–20.0333%18 Jul
anubis0–13-0.020%18 Jul
anubis7–13-0.1012%18 Jul
ancient13–9-0.036%18 Jul
dust213–40.0519%18 Jul
ancient13–60.0115%18 Jul
cache13–11-0.0518%17 Jul
ancient10–13-0.0415%17 Jul
dust213–80.0816%17 Jul
dust214–16-0.0528%17 Jul
mirage9–13-0.0412%15 Jul
cache7–00.0323%15 Jul
anubis13–10-0.0220%15 Jul
dust213–6-0.0117%15 Jul
inferno1–13-0.0428%15 Jul
dust213–30.0442%14 Jul
cache16–120.0018%13 Jul
anubis13–00.0410%13 Jul
inferno13–80.0320%13 Jul
mirage13–110.036%13 Jul
dust25–13-0.0233%13 Jul
inferno7–130.0120%13 Jul
dust26–130.0618%13 Jul
ancient13–8-0.0514%12 Jul
cache13–110.0411%12 Jul
mirage7–13-0.0711%12 Jul
cache13–4-0.0131%12 Jul
mirage11–130.0414%12 Jul
ancient7–13-0.0316%11 Jul
ancient13–90.0117%11 Jul
dust213–80.0020%11 Jul
dust212–16-0.0511%11 Jul
ancient13–30.1017%11 Jul
dust22–13-0.0512%11 Jul
inferno2–13-0.0724%11 Jul

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 →