Frog Man

Frog Man — CS2 Stats

76561198288873902[U:1:328608174]Steam profile ↗✓ No bans

256Tracked matches62%Win rate2023Tracked since
CSDB Rating7.6 StrongAggressive Rifler
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim87
Positioning69
Utility62

0–100 skill scores via Leetify.

Recent form

HOT48448Last 10048%Win rateLWWWWLWWLW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim8.7
Aggression9.5
Utility6.2
Positioning6.9
Opening Duels4.9

Sharp aimerExcellent counter-strafingEffective flashes

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 97% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 604ms 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

Aim8.7
Positioning6.9
Utility6.2
Mechanics8.5
Opening Duels4.9
Win Impact9.0

Composite 7.6/10 (Strong), 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+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time616ms−1ms
first ⅓ avg 617ms → last ⅓ avg 616ms
Headshot accuracy25.1%+1.5%
first ⅓ avg 23.6% → last ⅓ avg 25.1%

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 — agency 13–4
132Biggest win — anubis
5Longest win streak
56In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 70% over 10vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D2061430%-0.00
infernoA1610663%0.04
nukeS107370%0.03
mirageD103730%0.01
trainC104640%0.05
anubisA85363%0.03
ancientC73443%0.00
vertigoD61517%0.04
cacheS64267%0.06
overpass32167%0.01
office220100%0.07
agency21150%0.15

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

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

25.7%Headshot accuracy
40.5%Accuracy (enemy spotted)
39.8%Spray accuracy
88.2%Counter-strafing
10.8°Preaim
604msReaction time
47.1%T opening success
52.2%CT opening success
0.74Enemies flashed / flash
11.4%Flash assists
7.15HE damage / grenade
8.68Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0334%9 Aug
anubis13–70.0315%9 Aug
anubis13–30.0925%9 Aug
nuke13–60.0315%2 Aug
nuke13–40.0219%2 Aug
mirage10–130.0133%5 Jul
nuke13–100.0233%27 Jun
ancient13–70.0218%26 Jun
mirage8–130.0321%26 Jun
nuke13–50.1142%25 Jun
train7–130.0226%17 Jun
vertigo10–130.1326%4 Jun
dust211–130.0317%4 Jun
vertigo8–130.0136%3 Jun
anubis13–50.1218%27 May
cache13–80.1022%27 May
inferno9–20.129%27 May
anubis13–20.0931%25 May
dust210–13-0.0227%25 May
dust24–13-0.0436%25 May
inferno13–110.0425%16 May
cache9–13-0.0534%8 May
cache12–120.0527%8 May
cache13–110.0727%4 May
cache13–70.0824%3 May
inferno3–13-0.0233%3 May
dust213–90.0420%3 May
cache13–30.1335%3 May
dust213–100.0516%23 Apr
inferno13–80.0915%23 Apr
mirage13–70.0926%12 Apr
dust211–13-0.0213%10 Apr
inferno8–13-0.0528%3 Apr
dust211–130.0132%30 Mar
mirage9–130.0518%20 Mar
ancient13–40.0224%20 Mar
dust24–13-0.0311%20 Mar
dust25–13-0.0530%20 Mar
dust213–11-0.0222%12 Mar
dust216–120.0117%1 Mar
overpass13–90.0528%13 Oct
dust215–15-0.0211%13 Oct
ancient5–13-0.0138%5 Oct
office13–30.0816%4 Oct
office13–90.0732%4 Oct
vertigo12–120.0219%13 Aug
overpass4–13-0.0325%12 Aug
mirage10–130.0413%6 Aug
mirage9–13-0.0920%3 Aug
nuke13–7-0.0616%3 Aug
inferno13–40.1122%2 Aug
ancient12–120.0331%2 Aug
overpass13–50.0224%1 Aug
inferno11–130.1026%30 Jul
train13–40.1123%18 Jul
train12–120.0522%11 Jul
inferno13–110.0224%11 Jul
dust27–13-0.0147%11 Jul
vertigo11–130.0422%9 Jul
inferno7–90.0836%4 Jul
nuke13–50.0724%4 Jul
inferno13–100.0723%4 Jul
anubis13–11-0.0214%1 Jul
dust25–13-0.0328%29 Jun
dust27–120.0331%28 Jun
mirage2–13-0.0426%28 Jun
ancient3–130.0020%24 Jun
nuke0–40.0025%20 Jun
mirage9–13-0.0345%20 Jun
inferno13–40.0432%15 Jun
agency13–40.1818%12 Jun
train13–90.0322%12 Jun
inferno0–13-0.0424%7 Jun
agency9–130.1313%5 Jun
train12–120.0533%5 Jun
dust210–13-0.0232%1 Jun
train12–120.0629%31 May
anubis8–13-0.0438%31 May
vertigo13–20.0330%31 May
dust25–130.0231%26 May
train13–90.0422%26 May
anubis6–13-0.0419%26 May
train13–90.0840%24 May
ancient13–5-0.0013%18 May
inferno13–50.0822%18 May
train3–130.0436%6 Apr
dust27–13-0.0326%6 Apr
inferno13–100.0521%6 Apr
anubis4–80.0519%6 Apr
nuke13–80.1221%14 Mar
dust216–13-0.0015%14 Mar
vertigo8–13-0.0122%14 Mar
mirage13–40.1023%14 Mar
ancient6–13-0.0418%27 Feb
inferno5–13-0.0225%27 Feb
inferno13–7-0.0015%27 Feb
dust213–60.0525%27 Feb
mirage13–9-0.035%19 Feb
nuke1–4-0.0311%19 Feb
train12–120.059%19 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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