Hog Rider — CS2 Stats

76561198082207445[U:1:121941717]

1,335Tracked matches59%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating18,606Purple band · top ~14% of ranked players (population est.)
CSDB Leaderboard#4420 of 8360 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGHog RiderFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,606 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning49
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY563410Last 10056%Win rateWLTLWTWWWL

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

Player DNA

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

Aim6.5
Aggression5.5
Utility5.6
Positioning4.9
Opening Duels1.9
Clutch0.0

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 89% playstyle similarity

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

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

Reaction time. 595ms 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

Aim6.5
Positioning4.9
Utility5.6
Mechanics7.8
Opening Duels1.9
Win Impact8.1

Composite 5.9/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time597ms+0ms
first ⅓ avg 597ms → last ⅓ avg 597ms
Headshot accuracy15.6%+0.9%
first ⅓ avg 14.8% → last ⅓ avg 15.6%

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

0.16Best rating — inferno 13–2
131Biggest win — ancient
9Longest win streak
63In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A1811761%0.01
ancientA149564%-0.01
cacheB126650%0.01
mirageA127558%-0.02
nukeB105550%-0.02
anubisA95456%-0.00
infernoC83538%-0.01
trainA74357%-0.00
vertigoS54180%-0.00
overpassC52340%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

218Matches
52%Win rate
0.89Avg K/D
73.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3256%0.8711.9
Inferno2850%0.7711.6
Vertigo2741%0.7410.2
Dust22167%1.1214.9
Anubis2055%0.9713.3
Ancient1741%0.7912.3
Nuke838%0.7010.0
Overpass10%0.6716.0

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.

15.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.7%Spray accuracy
84.9%Counter-strafing
11.2°Preaim
595msReaction time
31.0%T opening success
43.9%CT opening success
0.64Enemies flashed / flash
6.1%Flash assists
10.13HE damage / grenade
8.96Flashes / 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 31.0283% — 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.

38% 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
vertigo13–80.0324%24 Aug
cache10–13-0.0218%24 Aug
overpass12–12-0.0223%24 Aug
dust27–13-0.0123%24 Aug
inferno13–4-0.0421%23 Aug
nuke12–12-0.049%19 Aug
ancient13–60.0413%19 Aug
mirage13–7-0.0313%19 Aug
dust29–00.1441%19 Aug
nuke9–13-0.0620%18 Aug
train13–2-0.0123%18 Aug
mirage12–12-0.0318%18 Aug
dust213–80.0221%18 Aug
dust210–13-0.0514%14 Aug
dust213–40.0913%7 Aug
dust213–90.0623%7 Aug
nuke13–60.0610%7 Aug
ancient0–13-0.127%7 Aug
dust213–9-0.0712%2 Aug
ancient8–13-0.0614%2 Aug
cache9–0-0.030%2 Aug
dust210–130.0321%2 Aug
vertigo3–13-0.0519%2 Aug
inferno7–13-0.0610%1 Aug
anubis8–130.0614%1 Aug
ancient13–4-0.089%1 Aug
mirage13–100.0215%1 Aug
dust213–8-0.087%1 Aug
train13–7-0.0610%1 Aug
dust28–13-0.0411%1 Aug
vertigo11–1-0.0414%1 Aug
cache6–130.009%1 Aug
cache2–13-0.0315%1 Aug
train2–13-0.0314%31 Jul
ancient13–100.009%31 Jul
nuke13–11-0.0333%31 Jul
mirage13–4-0.0121%31 Jul
mirage10–13-0.065%31 Jul
ancient11–13-0.0414%31 Jul
anubis13–16-0.0225%28 Jul
cache13–9-0.0112%28 Jul
anubis13–5-0.0317%28 Jul
mirage9–10.0210%28 Jul
nuke13–100.0113%27 Jul
cache0–13-0.0618%27 Jul
dust212–12-0.0216%27 Jul
ancient12–12-0.0312%24 Jul
mirage11–13-0.0113%24 Jul
dust213–60.0021%24 Jul
vertigo4–00.038%24 Jul
overpass12–120.0111%24 Jul
dust213–11-0.0115%24 Jul
inferno12–12-0.0223%23 Jul
train13–8-0.0211%23 Jul
anubis13–60.049%23 Jul
nuke13–60.0315%18 Jul
overpass9–130.0312%18 Jul
train10–130.0722%18 Jul
anubis13–8-0.0116%18 Jul
dust213–110.109%18 Jul
mirage13–8-0.0211%18 Jul
ancient13–80.0112%18 Jul
vertigo13–50.028%18 Jul
cache13–110.029%18 Jul
inferno9–13-0.058%18 Jul
mirage13–8-0.0217%17 Jul
cache13–80.1018%17 Jul
inferno12–12-0.0515%17 Jul
anubis6–130.016%17 Jul
dust210–13-0.0612%13 Jul
anubis4–13-0.0613%13 Jul
cache13–70.0417%13 Jul
nuke11–13-0.0416%13 Jul
ancient8–13-0.013%12 Jul
anubis13–7-0.0112%12 Jul
dust213–40.028%12 Jul
mirage8–3-0.0421%12 Jul
nuke5–13-0.0520%17 Jun
ancient13–60.0319%17 Jun
cache12–120.0316%17 Jun
nuke2–13-0.0820%17 Jun
inferno7–13-0.039%17 Jun
ancient13–10.1015%17 Jun
dust210–130.0720%17 Jun
mirage3–13-0.0716%17 Jun
overpass13–10-0.0416%16 Jun
cache4–130.0433%16 Jun
dust213–100.0319%16 Jun
train12–120.017%16 Jun
ancient13–9-0.0112%16 Jun
mirage8–13-0.0218%16 Jun
train13–80.0011%16 Jun
ancient13–11-0.1010%15 Jun
inferno13–10.0214%15 Jun
inferno13–20.1624%14 Jun
ancient13–80.0414%14 Jun
nuke13–110.0510%14 Jun
cache13–90.0616%14 Jun
overpass13–7-0.0511%14 Jun
anubis13–9-0.0014%14 Jun

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 →