Genjaharp

Genjaharp — CS2 Stats

76561198068298495[U:1:108032767]Steam profile ↗✓ No bans

1,776Tracked matches31%Win rate2020Tracked since
CSDB Rating5.8 SolidAggressive Rifler
FaceitLevel 9 · 1,967 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGenjaharpFACEITLevel 9 · 1,967 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning69
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY34606Last 10034%Win rateLWLWWWLWLL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim7.0
Aggression8.7
Utility6.5
Positioning6.9
Opening Duels5.7
Clutch6.2

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

donk

Plays most like donk 90% playstyle similarity

Most alike: opening-fight frequency, 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

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

Aim7.0
Positioning6.9
Utility6.5
Mechanics7.0
Opening Duels5.7
Win Impact0.0

Composite 5.8/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time623ms+27ms
first ⅓ avg 595ms → last ⅓ avg 623ms
Headshot accuracy23.6%+1.3%
first ⅓ avg 22.3% → last ⅓ avg 23.6%

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

0.23Best rating — cache 13–2
132Biggest win — cache
4Longest win streak
810In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 10mirageWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoD2471729%0.03
dust2D1641225%0.06
anubisD113827%0.03
nukeA116555%0.04
cacheA106460%0.08
mirageD101910%0.03
overpassB63350%0.04
ancient43175%0.04
train31233%0.04
vertigo2020%0.04
office2020%0.01
warden1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,507Matches
50%Win rate
1.11Avg K/D
94.0ADR
44%Headshot %

Clutches & streaks

51%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno8655%1.1718.6
Dust26854%1.2319.1
Mirage6447%1.1617.0
Ancient3342%1.1720.5
Nuke2962%1.3018.2
Overpass2945%1.2020.1
Anubis2040%0.9815.8
Vertigo1242%0.9816.3

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.

23.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.8%Spray accuracy
81.3%Counter-strafing
12.3°Preaim
625msReaction time
52.7%T opening success
52.9%CT opening success
0.58Enemies flashed / flash
10.8%Flash assists
10.25HE damage / grenade
8.67Flashes / 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 12.3118° — above the 12° mark we flag

    Aim Training
Spend your practice time on Mirage

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–130.0333%28 Aug
inferno13–60.0524%26 Aug
anubis7–130.0524%26 Aug
cache13–90.0423%21 Aug
anubis13–60.0525%21 Aug
nuke13–90.0619%21 Aug
mirage10–13-0.0421%31 Jul
inferno13–100.0918%31 Jul
dust25–130.0425%31 Jul
inferno8–13-0.0236%30 Jul
anubis11–130.0328%30 Jul
inferno7–13-0.0721%30 Jul
inferno8–13-0.0618%29 Jul
mirage13–30.0823%29 Jul
inferno8–130.0417%17 Jul
mirage11–130.1028%17 Jul
vertigo12–120.1019%17 Jul
anubis11–130.0428%14 Jul
inferno11–13-0.0019%14 Jul
inferno10–13-0.0213%14 Jul
inferno11–130.0213%14 Jul
ancient13–110.0823%14 Jul
dust26–130.0530%11 Jul
mirage11–130.0422%11 Jul
office10–130.0230%10 Jul
overpass13–70.0520%10 Jul
mirage9–13-0.0131%10 Jul
dust28–13-0.0124%10 Jul
dust213–100.0429%9 Jul
mirage9–130.0216%9 Jul
nuke11–130.0123%9 Jul
cache13–50.0224%6 Jul
dust210–130.1130%6 Jul
inferno13–110.0223%6 Jul
nuke13–50.0321%6 Jul
mirage5–13-0.0222%5 Jul
dust211–130.0935%5 Jul
inferno7–130.0925%3 Jul
office10–13-0.0019%3 Jul
nuke4–130.0519%3 Jul
anubis7–50.0124%3 Jul
ancient13–90.1418%3 Jul
cache12–120.1121%3 Jul
inferno9–130.0017%26 Jun
nuke13–110.0825%26 Jun
inferno4–13-0.0020%26 Jun
dust26–130.0622%26 Jun
nuke13–8-0.039%24 Jun
inferno13–11-0.0023%24 Jun
nuke13–100.1228%19 Jun
anubis12–120.1322%19 Jun
cache9–130.1015%19 Jun
inferno12–120.0915%19 Jun
dust213–40.0911%15 Jun
dust210–130.0010%15 Jun
anubis13–50.0426%15 Jun
nuke12–160.0519%12 Jun
ancient2–13-0.0014%12 Jun
nuke2–13-0.0325%12 Jun
overpass8–130.0629%12 Jun
cache13–50.1431%12 Jun
dust213–40.0934%12 Jun
train1–13-0.0124%5 Jun
nuke9–130.1113%5 Jun
inferno10–130.0426%5 Jun
cache13–20.2320%5 Jun
dust213–100.0826%5 Jun
mirage5–130.0730%5 Jun
overpass3–130.1022%5 Jun
vertigo1–10-0.0150%5 Jun
dust28–130.1135%3 Jun
ancient13–9-0.0422%3 Jun
inferno15–15-0.0117%3 Jun
nuke13–110.0430%3 Jun
inferno10–130.0118%29 May
dust210–130.0724%29 May
inferno7–130.1723%29 May
mirage4–130.0833%29 May
train8–130.1322%29 May
inferno13–100.1424%29 May
cache13–30.0620%22 May
dust27–130.0420%22 May
warden7–130.0117%22 May
anubis6–130.0423%22 May
cache12–120.0326%22 May
train13–40.0123%22 May
inferno13–60.1120%22 May
overpass13–70.0616%13 May
inferno16–140.0322%13 May
inferno6–13-0.0219%8 May
overpass2–13-0.0913%8 May
cache10–130.0319%6 May
anubis8–130.0625%6 May
mirage11–13-0.0214%1 May
cache13–70.0516%1 May
anubis4–13-0.0114%26 Apr
anubis9–13-0.068%24 Apr
dust211–130.0418%24 Apr
inferno8–13-0.0121%24 Apr
overpass13–110.0534%24 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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