A Big 'Ol Floppy Bug

A Big 'Ol Floppy Bug — CS2 Stats

AF76561198219892681[U:1:259626953]Steam profile ↗✓ No bans

210Tracked matches43%Win rate2022Tracked since
CSDB Rating4.5 DevelopingSupport
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,036 -713 7 Oct – 16 Jan · 37 days played
13,94117,198peak 17,1987 Oct16 Jan
17,243Peak Premier in tracked matches
39Days played since 2025-10-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim38
Positioning60
Utility80

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLLWWLLLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.1pp headshot accuracy · −88ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 503ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 540ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim3.8
Utility8.0
Positioning6.0
Opening Duels5.3

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 51% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning6.0
Utility8.0
Mechanics1.7
Opening Duels4.2
Win Impact2.8

Composite 4.5/10 (Developing), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time634ms+16ms
first ⅓ avg 617ms → last ⅓ avg 634ms
Headshot accuracy18.0%+2.5%
first ⅓ avg 15.5% → last ⅓ avg 18.0%

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.

Personal bests

0.20Best match rating · 13–1 · ancient, 21 Oct →
75%Best headshot accuracy · 6–4 · overpass, 29 Dec →
484msFastest reaction time · 15–15 · inferno, 13 Oct →
13–0Biggest win · nuke, 8 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
5–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 78% over 18infernoWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%0.04
mirageB2411–1346%0.03
ancientC188–1044%0.04
nukeS1814–478%0.07
overpassA74–357%0.07
dust2—43–175%0.00
train—41–325%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Inferno 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.

17.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.9%Spray accuracy
57.5%Counter-strafing
11.1°Preaim
630msReaction time
43.8%T opening success
50.2%CT opening success
0.86Enemies flashed / flash
10.3%Flash assists
12.76HE damage / grenade
14.04Flashes / match

Recommended for you

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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust20–3-0.070%23 Feb →
mirage7–130.0215%21 Feb →
inferno7–13-0.0718%16 Jan →
dust213–90.0625%16 Jan →
inferno13–90.1721%14 Jan →
inferno5–13-0.033%14 Jan →
inferno13–160.0310%9 Jan →
ancient9–130.0914%9 Jan →
overpass13–80.1016%9 Jan →
inferno13–60.0316%9 Jan →
inferno5–13-0.0015%9 Jan →
inferno13–70.0714%8 Jan →
ancient7–13-0.0117%8 Jan →
mirage9–13-0.0327%8 Jan →
mirage9–13-0.0320%8 Jan →
nuke13–00.0825%8 Jan →
ancient13–11-0.0112%6 Jan →
nuke13–00.149%6 Jan →
nuke13–70.058%5 Jan →
train11–130.0312%5 Jan →
mirage5–13-0.0013%3 Jan →
mirage16–120.0214%3 Jan →
ancient9–130.0615%3 Jan →
overpass6–40.1675%29 Dec →
inferno5–13-0.0116%29 Dec →
mirage7–130.0126%29 Dec →
nuke16–140.0926%27 Dec →
mirage13–16-0.0119%19 Dec →
nuke13–50.1112%15 Dec →
inferno11–130.0815%15 Dec →
mirage13–80.0217%15 Dec →
inferno13–50.1036%11 Dec →
mirage13–80.0213%11 Dec →
ancient0–13-0.0913%3 Dec →
mirage13–8-0.0614%1 Dec →
mirage13–40.1817%29 Nov →
ancient10–130.0313%29 Nov →
inferno14–16-0.0114%28 Nov →
inferno7–130.0413%28 Nov →
mirage8–13-0.0311%28 Nov →
overpass13–30.0113%25 Nov →
inferno4–130.028%25 Nov →
inferno7–13-0.0012%25 Nov →
nuke13–90.0718%25 Nov →
ancient13–50.1419%25 Nov →
mirage8–13-0.0114%25 Nov →
ancient13–80.158%25 Nov →
train7–130.0219%24 Nov →
nuke13–40.0016%24 Nov →
mirage13–60.0720%20 Nov →
inferno13–60.027%20 Nov →
nuke13–100.0811%20 Nov →
mirage11–130.068%19 Nov →
overpass11–130.087%19 Nov →
inferno13–30.1216%17 Nov →
mirage13–60.1615%17 Nov →
ancient16–14-0.0115%16 Nov →
nuke13–100.0313%16 Nov →
mirage11–130.0022%15 Nov →
overpass6–13-0.0614%15 Nov →
nuke13–100.0713%15 Nov →
nuke13–70.057%14 Nov →
ancient16–120.0612%14 Nov →
nuke13–90.0215%14 Nov →
ancient7–13-0.0821%14 Nov →
dust213–70.0717%11 Nov →
inferno13–40.0429%11 Nov →
overpass13–50.1515%11 Nov →
inferno11–130.029%11 Nov →
mirage8–13-0.0213%9 Nov →
ancient13–100.0518%9 Nov →
nuke16–120.109%9 Nov →
mirage5–13-0.0115%9 Nov →
nuke15–150.0315%8 Nov →
train13–6-0.0016%8 Nov →
inferno11–130.0410%8 Nov →
inferno13–100.0020%5 Nov →
overpass9–130.0919%5 Nov →
ancient10–130.0217%5 Nov →
mirage11–130.0317%5 Nov →
train15–150.0816%4 Nov →
nuke10–130.0113%4 Nov →
inferno13–30.0212%4 Nov →
inferno6–130.0826%21 Oct →
ancient13–10.2026%21 Oct →
nuke9–130.0520%17 Oct →
inferno13–60.1011%16 Oct →
ancient10–130.0313%16 Oct →
nuke13–80.1416%16 Oct →
inferno2–13-0.0217%14 Oct →
dust213–11-0.056%13 Oct →
inferno15–150.048%13 Oct →
nuke8–130.0525%13 Oct →
ancient14–160.1319%11 Oct →
ancient13–80.0712%9 Oct →
mirage13–100.0132%9 Oct →
mirage13–70.0412%9 Oct →
mirage13–60.0515%7 Oct →
ancient4–13-0.084%7 Oct →
mirage13–60.1116%7 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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