πŸͺ·I LOVE FROGSπŸͺ·

πŸͺ·I LOVE FROGSπŸͺ· β€” CS2 Stats

ZA76561198370963462[U:1:410697734]Steam profile β†—βœ“ No bans

833Tracked matches32%Win rate2020Tracked since
3,507Hours in CS1Hrs last 2 wks
CSDB Rating4.5 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Share this profile

CSDB.GGπŸͺ·I LOVE FROGSπŸͺ·FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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

Performance scores

Aim55
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateWLWLLLWLLT

Last 10 vs previous 10: +30pp win rate Β· +0.04 avg rating

Player DNA

Aim5.5
Aggression5.4
Utility5.4
Positioning4.8
Opening Duels2.4
Clutch3.6

Style profile from tracked-match aggregates β€” 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 86% playstyle similarity

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

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 30% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.5
Positioning4.8
Utility5.4
Mechanics5.8
Opening Duels2.4
Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01βˆ’0.00
first β…“ avg -0.01 β†’ last β…“ avg -0.01
Reaction time622msβˆ’12ms
first β…“ avg 634ms β†’ last β…“ avg 622ms
Headshot accuracy17.6%+1.7%
first β…“ avg 15.9% β†’ last β…“ avg 17.6%

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

0.14Best rating β€” ancient 13–1
13–0Biggest win β€” mirage
6Longest win streak
5–4In matches decided by ≀2 rounds
11Overtime games

Map breakdown

nukeBest map Β· 75% over 8dust2Weakest map Β· 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.00
infernoB179–853%0.01
ancientB179–853%0.00
dust2C145–936%-0.03
overpassA116–555%0.02
nukeS86–275%0.02
cacheC52–340%0.03
anubisβ€”41–325%-0.02
trainβ€”20–20%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,901Lifetime kills
0.96K/D
5,772Matches
43.7%Match win rate
43.0%Headshot %
17.9%Shot accuracy Β· Top 25% of tracked players
15,752MVPs
2,833Hours (in match)
4,759Bombs planted
1,766Bombs defused

Most-used weapons

AK-4756,170
AWP27,491
SG 5534,275
AUG3,511
UMP-452,154

Lifetime map wins

7,824inferno
4,178dust2
4,066train
3,046nuke
1,513vertigo
875cbble
429office
197lake

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

Faceit stats

Combat

830Matches
49%Win rate
1.16Avg K/D
71.4ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo2857%1.4519.0
Mirage2143%1.1016.1
Nuke1650%1.4418.0
Anubis1331%1.0816.3
Ancient1060%0.9215.7
Dust2650%1.3916.5
Overpass450%1.1515.0
Inferno333%0.8410.7

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
35.0%Spray accuracy
76.0%Counter-strafing
9.6Β°Preaim
626msReaction time
30.4%T opening success
48.5%CT opening success
0.71Enemies flashed / flash
4.9%Flash assists
5.91HE damage / grenade
6.78Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 30.4321% β€” below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 14 tracked games β€” your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
cache13–10.0124%16 Aug β†’
cache5–130.0318%12 Aug β†’
mirage13–10.0313%12 Aug β†’
anubis10–13-0.0211%25 Jul β†’
overpass5–130.1213%29 Jun β†’
dust211–13-0.0116%24 Jun β†’
inferno13–5-0.0418%12 Jun β†’
overpass9–130.0422%9 Jun β†’
inferno5–130.0016%4 Jun β†’
ancient12–120.0312%1 Jun β†’
anubis5–130.0324%31 May β†’
inferno6–130.0928%29 May β†’
dust210–13-0.0413%29 May β†’
mirage4–13-0.0612%28 May β†’
mirage2–10-0.0529%28 May β†’
dust22–13-0.0326%28 May β†’
mirage8–13-0.0323%27 May β†’
overpass9–130.0213%26 May β†’
cache3–13-0.0618%25 May β†’
anubis2–13-0.0720%25 May β†’
inferno16–13-0.0222%25 May β†’
mirage7–13-0.068%24 May β†’
ancient0–13-0.1611%24 May β†’
mirage13–9-0.019%24 May β†’
mirage13–11-0.056%22 May β†’
dust24–13-0.129%21 May β†’
overpass13–6-0.0413%21 May β†’
dust216–140.0324%20 May β†’
ancient15–150.0229%20 May β†’
cache13–100.0613%20 May β†’
mirage10–130.0438%20 May β†’
ancient13–11-0.0012%19 May β†’
ancient15–150.0419%19 May β†’
mirage13–100.0618%19 May β†’
ancient0–13-0.0522%19 May β†’
dust213–100.0319%19 May β†’
mirage13–00.036%19 May β†’
nuke4–13-0.0420%18 May β†’
mirage13–70.0439%18 May β†’
cache6–130.1033%18 May β†’
nuke13–50.1329%18 May β†’
overpass11–130.0225%18 May β†’
ancient13–9-0.0115%18 May β†’
mirage10–130.0614%25 Apr β†’
inferno9–130.0421%25 Mar β†’
anubis13–80.0013%25 Mar β†’
ancient13–90.0714%25 Mar β†’
dust213–8-0.0028%25 Mar β†’
mirage6–130.0011%25 Mar β†’
nuke13–90.0524%24 Mar β†’
overpass13–8-0.037%23 Mar β†’
overpass11–130.0624%23 Mar β†’
nuke13–10.0514%23 Mar β†’
ancient13–7-0.029%22 Mar β†’
dust213–10.0118%21 Mar β†’
mirage5–13-0.0113%21 Mar β†’
mirage13–40.0519%21 Mar β†’
overpass13–80.0217%20 Mar β†’
inferno13–50.1128%20 Mar β†’
mirage8–13-0.0313%20 Mar β†’
mirage10–13-0.0329%18 Mar β†’
nuke13–40.0627%14 Mar β†’
ancient6–13-0.0210%13 Mar β†’
ancient13–80.0316%2 Mar β†’
inferno16–130.0615%1 Mar β†’
nuke15–150.0219%27 Feb β†’
dust211–13-0.079%17 Jan β†’
overpass13–90.0026%17 Jan β†’
mirage13–4-0.059%17 Jan β†’
nuke13–7-0.0318%17 Jan β†’
inferno5–13-0.0430%17 Jan β†’
dust213–10-0.0116%17 Jan β†’
dust24–13-0.0813%17 Jan β†’
mirage13–30.0221%16 Jan β†’
inferno6–130.0119%11 Jan β†’
train10–13-0.0320%11 Jan β†’
overpass3–20.048%11 Jan β†’
overpass13–110.0017%10 Jan β†’
inferno4–13-0.0910%10 Jan β†’
inferno9–13-0.0318%4 Jan β†’
ancient13–20.0310%3 Jan β†’
ancient13–6-0.0612%3 Jan β†’
dust213–16-0.0510%2 Jan β†’
inferno13–30.0518%2 Jan β†’
nuke13–6-0.097%1 Jan β†’
inferno13–3-0.047%1 Jan β†’
train13–16-0.0220%1 Jan β†’
inferno16–130.0424%29 Dec β†’
inferno16–120.0119%29 Dec β†’
ancient13–10.1421%28 Dec β†’
mirage13–60.029%28 Dec β†’
mirage13–10.0413%28 Dec β†’
inferno13–4-0.017%22 Dec β†’
dust27–13-0.0019%21 Dec β†’
ancient7–13-0.0619%21 Dec β†’
dust28–13-0.0615%24 May β†’
ancient13–90.0823%22 May β†’
ancient8–13-0.0017%22 May β†’
mirage10–130.0014%22 May β†’
inferno15–150.0316%20 May β†’

Match data via Leetify.

Recent teammates

Milestones

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