Grandpa Lover Silja — CS2 Stats

76561198281157064[U:1:320891336]

991Tracked matches46%Win rate2023Tracked since
1,830Hours in CS8Hrs last 2 wks
CSDB Rating4.6 DevelopingPassive Rifler
FaceitLevel 6 · 1,262 ELOTop 54.0% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

Share this profile

CSDB.GGGrandpa Lover SiljaFACEITLevel 6 · 1,262 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning35
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47458Last 10047%Win rateLLWWLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.2
Aggression3.0
Utility4.2
Positioning3.5
Opening Duels0.2
Clutch1.6

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 79% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 605ms 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

Aim7.2
Positioning3.5
Utility4.2
Mechanics8.1
Opening Duels0.7
Win Impact3.6

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time617ms−52ms
first ⅓ avg 669ms → last ⅓ avg 617ms
Headshot accuracy19.3%−3.6%
first ⅓ avg 22.9% → last ⅓ avg 19.3%

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

0.12Best rating — mirage 13–2
131Biggest win — mirage
4Longest win streak
L2Current streak
610In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB20101050%-0.02
infernoC1971237%-0.02
dust2C1881044%-0.01
nukeC167944%-0.01
ancientB105550%-0.01
cacheC73443%-0.01
overpassS64267%0.00
anubis43175%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,105Lifetime kills
1.69K/D · Top 5% of tracked players
2,282Matches
42.8%Match win rate
76.8%Headshot % · Top 1% of tracked players
5.4%Shot accuracy
2,970MVPs
1,054Hours (in match)
1,962Bombs planted
563Bombs defused

Most-used weapons

Lifetime map wins

3,071dust2
2,552nuke
2,467inferno
795train
278cbble
149office
91vertigo
50lake

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

Faceit stats

Combat

249Matches
49%Win rate
1.00Avg K/D
74.2ADR
54%Headshot %

Clutches & streaks

28%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7251%1.0513.5
Nuke4344%0.9914.3
Ancient3639%1.0616.1
Dust23053%1.0414.1
Inferno2446%1.0014.0
Train1471%0.8713.2
Overpass1070%0.9711.3
Anubis967%1.2115.6

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.

19.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
33.5%Spray accuracy
86.4%Counter-strafing
9.7°Preaim
605msReaction time
25.4%T opening success
36.0%CT opening success
0.45Enemies flashed / flash
5.5%Flash assists
7.37HE damage / grenade
6.55Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4455 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 25.3578% — 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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0112%24 Aug
mirage8–13-0.0122%23 Aug
ancient13–90.0415%23 Aug
nuke13–30.0924%22 Aug
inferno7–130.0128%22 Aug
mirage13–9-0.0121%22 Aug
cache10–13-0.0413%22 Aug
cache13–8-0.0018%22 Aug
nuke13–50.0822%22 Aug
inferno11–13-0.0124%22 Aug
dust25–130.0318%21 Jul
dust213–9-0.0210%21 Jul
inferno11–13-0.0416%21 Jul
mirage12–12-0.0420%18 Jul
cache13–30.0728%18 Jul
ancient12–120.0623%18 Jul
mirage12–120.009%15 Jul
ancient16–14-0.0825%15 Jul
nuke16–14-0.0514%15 Jul
cache7–13-0.0315%15 Jul
nuke12–12-0.0516%7 Jul
cache12–12-0.0624%7 Jul
inferno10–13-0.036%7 Jul
dust212–12-0.0011%7 Jul
mirage7–130.0121%6 Jul
mirage10–13-0.0322%29 Jun
dust23–13-0.0832%29 Jun
overpass7–13-0.0627%22 Jun
nuke13–60.0426%22 Jun
inferno13–11-0.0918%16 Jun
ancient10–13-0.0120%4 Jun
dust28–130.0018%4 Jun
ancient13–8-0.0220%27 May
mirage11–130.0015%27 May
cache13–90.0124%10 May
ancient11–13-0.0429%7 May
nuke11–13-0.0313%7 May
nuke3–13-0.0517%5 May
dust213–6-0.0221%5 May
inferno11–13-0.0118%29 Apr
cache8–13-0.0433%29 Apr
overpass13–20.0723%26 Apr
ancient13–8-0.0315%26 Apr
dust215–150.0126%22 Apr
mirage13–90.0014%22 Apr
overpass9–13-0.0021%22 Apr
inferno6–13-0.0729%22 Apr
dust213–5-0.0431%22 Apr
mirage13–3-0.0425%21 Apr
anubis13–10-0.0213%21 Apr
anubis13–40.0618%21 Apr
dust211–13-0.0126%21 Apr
nuke4–13-0.0835%20 Apr
dust27–13-0.0123%20 Apr
dust213–50.0650%19 Apr
nuke13–10-0.0621%19 Apr
dust22–130.0342%19 Apr
dust213–30.0145%19 Apr
inferno13–60.0121%19 Apr
inferno13–70.0735%19 Apr
mirage13–11-0.0427%18 Apr
ancient8–13-0.0918%18 Apr
nuke11–13-0.0225%18 Apr
mirage13–9-0.0323%17 Apr
inferno13–6-0.0442%17 Apr
inferno1–6-0.0223%17 Apr
dust213–50.0130%17 Apr
overpass16–13-0.0027%17 Apr
mirage13–10.0119%17 Apr
inferno13–4-0.0417%17 Apr
mirage7–13-0.0619%17 Apr
dust216–12-0.0016%17 Apr
mirage16–14-0.0227%16 Apr
mirage11–13-0.0621%16 Apr
inferno9–13-0.0144%16 Apr
nuke1–13-0.0814%16 Apr
mirage1–4-0.0514%15 Apr
anubis4–13-0.1520%15 Apr
dust26–130.0430%14 Apr
inferno7–130.0433%14 Apr
nuke13–100.0122%14 Apr
inferno8–13-0.0919%14 Apr
mirage13–20.1225%14 Apr
nuke13–110.0822%13 Apr
nuke10–130.0435%13 Apr
ancient13–40.0634%13 Apr
inferno13–40.0633%13 Apr
mirage10–50.0126%13 Apr
overpass13–70.0118%13 Apr
ancient11–13-0.0325%13 Apr
dust213–4-0.0329%13 Apr
anubis13–3-0.0311%13 Apr
inferno5–13-0.0535%13 Apr
dust210–13-0.0923%13 Apr
nuke9–13-0.0418%12 Apr
inferno13–40.0315%12 Apr
mirage13–10-0.0612%12 Apr
inferno4–13-0.0416%11 Apr
overpass13–8-0.0115%11 Apr
nuke15–15-0.0420%11 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →