renjegarN

renjegarN — CS2 Stats

SE76561197981707560[U:1:21441832]Steam profile ↗✓ No bans

712Tracked matches60%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
FaceitLevel 10 · 1,895 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGrenjegarNFACEITLevel 10 · 1,895 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

HOT53461Last 10053%Win rateWLLWWWWWWL

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

Player DNA

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

Aim8.2
Aggression10.0
Utility6.0
Positioning5.7
Opening Duels5.5
Clutch4.2

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: utility contribution, 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning5.7
Utility6.0
Mechanics6.2
Opening Duels5.5
Win Impact8.3

Composite 6.5/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time498ms−29ms
first ⅓ avg 528ms → last ⅓ avg 498ms
Headshot accuracy21.7%−1.6%
first ⅓ avg 23.4% → last ⅓ avg 21.7%

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

0.18Best rating — dust2 13–5
131Biggest win — nuke
7Longest win streak
139In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 80% over 10cacheWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%0.01
cacheC1661038%0.01
infernoB168850%-0.01
mirageB147750%-0.01
trainS108280%0.03
anubisA95456%-0.01
ancientA74357%0.02
vertigo21150%0.09
nuke220100%0.08
office21150%0.11
overpass110100%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

1,480Matches
51%Win rate
1.14Avg K/D
91.9ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3441%1.0815.2
Ancient2259%1.0817.1
Inferno1747%1.1518.4
Dust21547%1.4719.5
Overpass1060%1.0917.9
Anubis956%1.0518.1
Nuke3100%1.2218.0
Cache3100%1.3717.7

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.

21.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
33.0%Spray accuracy
77.9%Counter-strafing
8.4°Preaim
496msReaction time
41.7%T opening success
62.0%CT opening success
0.55Enemies flashed / flash
11.1%Flash assists
14.09HE damage / grenade
6.05Flashes / match

Recommended for you

Spend your practice time on Cache

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 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–100.0123%25 Aug
dust24–13-0.0115%25 Aug
cache7–13-0.0121%25 Aug
train13–70.0726%12 Aug
train13–50.0416%12 Aug
inferno13–60.0631%5 Aug
mirage16–14-0.0016%1 Aug
inferno13–60.0535%1 Aug
dust213–50.0116%1 Aug
mirage18–220.0019%1 Aug
mirage13–7-0.0215%1 Aug
vertigo13–110.1314%31 Jul
vertigo7–130.0536%29 Jul
anubis8–13-0.0323%27 Jul
dust213–50.1828%27 Jul
ancient13–110.0325%27 Jul
overpass13–90.0226%27 Jul
inferno7–13-0.0417%27 Jul
inferno13–2-0.0717%27 Jul
dust210–130.0227%26 Jul
inferno6–13-0.0325%26 Jul
mirage3–13-0.135%26 Jul
inferno5–130.0130%26 Jul
dust24–13-0.0424%26 Jul
anubis13–70.0622%22 Jul
anubis13–11-0.0417%22 Jul
mirage13–30.0120%21 Jul
train13–90.0613%21 Jul
nuke13–10.0628%20 Jul
dust25–130.0931%20 Jul
dust26–13-0.0226%20 Jul
dust28–13-0.0413%10 Jul
anubis11–13-0.0119%10 Jul
mirage9–130.0618%10 Jul
cache13–11-0.0315%10 Jul
dust213–110.0417%10 Jul
inferno4–13-0.0026%9 Jul
mirage13–110.0321%9 Jul
cache14–160.0218%9 Jul
cache13–60.0118%9 Jul
dust213–110.0116%9 Jul
cache13–110.0234%9 Jul
dust211–13-0.0323%9 Jul
office1–60.1225%8 Jul
office13–50.1026%8 Jul
ancient9–13-0.0426%7 Jul
inferno9–13-0.0214%7 Jul
dust26–13-0.0435%7 Jul
ancient9–130.0327%7 Jul
inferno13–100.0330%5 Jul
dust211–13-0.0517%4 Jul
cache10–13-0.0118%4 Jul
dust213–40.0418%4 Jul
train13–5-0.0134%4 Jul
mirage6–13-0.0825%3 Jul
cache10–13-0.0229%3 Jul
dust211–13-0.0224%3 Jul
inferno4–13-0.0728%3 Jul
ancient13–20.0822%3 Jul
anubis13–10.0416%3 Jul
cache12–120.0131%3 Jul
ancient5–13-0.0216%2 Jul
inferno9–10.0423%2 Jul
cache9–13-0.0315%2 Jul
dust211–13-0.0136%2 Jul
cache13–100.039%2 Jul
inferno9–13-0.0414%1 Jul
dust213–110.0120%1 Jul
cache9–130.1315%1 Jul
cache5–130.0425%1 Jul
anubis9–13-0.0416%30 Jun
cache2–13-0.0525%30 Jun
mirage13–110.0121%30 Jun
mirage13–60.0127%30 Jun
train13–10-0.0124%30 Jun
dust213–5-0.0224%30 Jun
inferno16–13-0.0221%28 Jun
dust213–3-0.0237%28 Jun
inferno13–9-0.0328%28 Jun
anubis11–13-0.0513%28 Jun
cache16–130.1036%24 Jun
inferno7–13-0.0415%24 Jun
nuke13–90.1119%24 Jun
anubis13–8-0.0327%22 Jun
dust213–30.0530%22 Jun
mirage7–130.0524%22 Jun
train11–13-0.0217%21 Jun
cache12–160.0129%21 Jun
mirage3–13-0.1026%21 Jun
ancient13–90.0419%21 Jun
train16–140.0235%18 Jun
mirage13–110.0322%18 Jun
inferno13–100.0415%18 Jun
train13–90.0937%18 Jun
train8–5-0.0024%18 Jun
train13–10.0623%18 Jun
mirage14–160.0119%16 Jun
dust213–80.0217%16 Jun
anubis13–40.0411%16 Jun
cache16–13-0.0331%16 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
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