Khajiit has wares IF u have coin — CS2 Stats

76561199248975594[U:1:1288709866]

1,030Tracked matches43%Win rate2023Tracked since
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating16,193Purple band · top ~23.7% of ranked players (population est.)
CSDB Leaderboard#14783 of 24863 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGKhajiit has wares IF u ha…FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,193 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

COLD51436Last 10051%Win rateLTWLLLTWWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.1
Aggression7.9
Utility5.9
Positioning6.1
Opening Duels3.8
Clutch6.0

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: utility contribution, positioning profile.

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 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.1
Positioning6.1
Utility5.9
Mechanics5.7
Opening Duels3.8
Win Impact2.6

Composite 5.7/10 (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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time584ms−30ms
first ⅓ avg 614ms → last ⅓ avg 584ms
Headshot accuracy16.4%−2.4%
first ⅓ avg 18.9% → last ⅓ avg 16.4%

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

0.22Best rating — inferno 9–1
130Biggest win — ancient
5Longest win streak
45In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 67% over 12infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB20101050%0.05
infernoC2081240%0.05
dust2S128467%0.06
mirageB126650%0.03
ancientA117464%0.02
cacheA106460%0.03
anubisB84450%0.07
vertigo31233%0.01
train2020%0.11
shelter110100%0.17
fachwerk1010%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
30%Win rate
1.22Avg K/D
94.9ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%1.0222.0
Dust220%0.568.5
Mirage250%1.5823.0
Nuke1100%2.0018.0
Anubis10%1.1218.0
Train10%0.8421.0
Inferno1100%1.9431.0

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.

16.1%Headshot accuracy
38.7%Accuracy (enemy spotted)
42.2%Spray accuracy
75.8%Counter-strafing
11.3°Preaim
577msReaction time
36.3%T opening success
53.8%CT opening success
0.61Enemies flashed / flash
9.3%Flash assists
11.35HE damage / grenade
7.59Flashes / 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 36.3254% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.0712%28 Aug
inferno15–150.0114%28 Aug
cache13–5-0.0113%28 Aug
nuke3–130.0221%28 Aug
cache10–130.0621%27 Aug
dust20–130.0143%27 Aug
mirage12–120.0320%27 Aug
dust213–100.0613%26 Aug
cache13–9-0.0422%26 Aug
ancient10–130.0016%26 Aug
nuke9–130.0220%26 Aug
inferno9–20.037%26 Aug
nuke9–70.1527%26 Aug
vertigo7–130.0615%25 Aug
inferno13–50.0727%25 Aug
ancient4–13-0.054%25 Aug
inferno9–130.0310%25 Aug
anubis8–130.0312%25 Aug
inferno9–60.0815%25 Aug
nuke13–10.0412%24 Aug
cache13–60.0912%24 Aug
inferno11–130.0115%24 Aug
nuke14–16-0.019%22 Aug
nuke13–60.0817%22 Aug
mirage13–100.0818%22 Aug
ancient13–80.0225%22 Aug
cache10–13-0.0013%22 Aug
nuke13–90.0522%22 Aug
anubis13–20.0716%22 Aug
ancient13–80.0712%22 Aug
cache9–13-0.009%22 Aug
inferno10–130.1118%21 Aug
mirage6–130.1016%21 Aug
nuke8–80.0419%21 Aug
inferno6–90.0532%21 Aug
train9–130.1724%20 Aug
inferno9–130.1020%20 Aug
nuke13–11-0.0123%20 Aug
mirage11–130.0513%20 Aug
dust213–50.0520%20 Aug
vertigo3–13-0.0624%19 Aug
mirage13–90.1122%19 Aug
nuke6–13-0.0311%19 Aug
inferno13–80.0314%19 Aug
ancient8–13-0.0611%19 Aug
train9–130.0415%19 Aug
nuke13–70.0221%19 Aug
anubis13–90.0523%19 Aug
dust27–30.0531%19 Aug
ancient13–100.0148%18 Aug
nuke5–130.1620%18 Aug
dust26–130.0124%18 Aug
inferno4–13-0.0342%18 Aug
mirage13–110.0225%18 Aug
dust213–30.1638%18 Aug
vertigo13–90.0220%17 Aug
inferno7–130.0115%17 Aug
inferno0–7-0.0238%17 Aug
nuke13–40.0628%17 Aug
inferno12–120.0219%17 Aug
anubis7–130.0716%17 Aug
nuke13–10.0829%17 Aug
ancient13–40.0622%17 Aug
dust213–20.0730%17 Aug
nuke9–130.1118%16 Aug
inferno13–10.1318%16 Aug
mirage13–70.0523%16 Aug
inferno9–10.2224%16 Aug
anubis13–50.0317%14 Aug
cache13–60.0514%14 Aug
mirage5–13-0.0721%14 Aug
dust27–130.0318%14 Aug
inferno5–10.0650%14 Aug
anubis11–130.1017%14 Aug
ancient13–30.0836%14 Aug
cache10–50.0620%13 Aug
mirage4–13-0.0611%13 Aug
inferno9–30.048%13 Aug
ancient13–00.0813%12 Aug
mirage13–30.059%12 Aug
inferno12–120.0216%12 Aug
cache13–7-0.0020%12 Aug
anubis13–80.1128%12 Aug
shelter13–70.1726%12 Aug
nuke12–120.0815%11 Aug
dust28–130.1025%11 Aug
cache7–130.0824%11 Aug
dust213–6-0.0511%10 Aug
inferno11–130.0115%10 Aug
mirage13–110.0419%10 Aug
ancient8–13-0.0711%10 Aug
nuke13–00.0124%10 Aug
dust213–50.1415%10 Aug
nuke13–60.1514%9 Aug
nuke2–7-0.0822%9 Aug
mirage6–13-0.0025%9 Aug
fachwerk3–130.0520%9 Aug
anubis6–130.129%9 Aug
dust213–50.078%8 Aug
ancient13–70.1019%8 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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