FlappyBirdLover67

FlappyBirdLover67 — CS2 Stats

US76561198077092003[U:1:116826275]Steam profile ↗✓ No bans

1,409Tracked matches62%Win rate2023Tracked since
2,090Hours in CS29Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,691 +631 14 Apr – 16 Apr · 3 days played
16,06016,794peak 16,79414 Apr16 Apr
16,794Peak Premier in tracked matches
34Days played since 2026-04-14

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

Performance scores

Aim82
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWLWWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −3.7pp headshot accuracy · −74ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 19%
  • Avg reaction 534ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 589ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.2
Utility4.6
Positioning5.8
Opening Duels3.5
Clutch0.0

Limited utility dependence

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

sh1ro

Plays most like sh1ro 96% playstyle similarity

Most alike: opening-duel success, 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

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

Reaction time. 579ms 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

Aim8.2
Positioning5.8
Utility4.6
Mechanics6.6
Opening Duels3.6
Win Impact9.0

Composite 6.6/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time584ms+42ms
first ⅓ avg 541ms → last ⅓ avg 584ms
Headshot accuracy21.2%+0.1%
first ⅓ avg 21.1% → last ⅓ avg 21.2%

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

0.23Best match rating · 13–5 · office, 15 Oct →
61%Best headshot accuracy · 13–1 · office, 10 Sept →
422msFastest reaction time · 7–13 · office, 14 Sept →
13–1Biggest win · office, 10 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 60% over 5officeWeakest map · 52% over 81
MapGradePlayedRecordWin rateAvg rating
officeB8142–3952%0.01
mirageA53–260%-0.00
nukeA53–260%0.01
inferno—33–0100%0.10
ancient—31–233%0.00
cache—21–150%-0.04
overpass—10–10%-0.10

Across the last 100 tracked matches.

Lifetime stats

38,599Lifetime kills
1.00K/D
2,670Matches
44.3%Match win rate
46.0%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
4,962MVPs
910Hours (in match)
1,034Bombs planted
259Bombs defused

Most-used weapons

Lifetime map wins

7,478office
1,770inferno
1,703dust2
1,606italy
1,207vertigo
1,195nuke
256train
23lake

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

Faceit stats

Combat

11Matches
55%Win rate
0.76Avg K/D
62.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis367%0.679.7
Mirage367%0.8612.3
Dust2250%0.9212.5
Train1100%1.0017.0
Ancient10%0.7117.0
Inferno10%0.295.0

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.

20.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
42.3%Spray accuracy
79.7%Counter-strafing
8.6°Preaim
579msReaction time
43.1%T opening success
45.5%CT opening success
0.47Enemies flashed / flash
15.2%Flash assists
8.62HE damage / grenade
4.18Flashes / 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 0.4655 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
office13–80.0122%16 Oct →
office9–130.0616%15 Oct →
inferno9–10.1020%15 Oct →
office13–50.2323%15 Oct →
office13–8-0.0315%15 Oct →
office13–7-0.0518%15 Oct →
cache2–13-0.0617%15 Oct →
office5–13-0.0426%14 Oct →
office9–13-0.0219%14 Oct →
inferno9–70.0620%14 Oct →
inferno9–30.1441%14 Oct →
office13–70.0413%13 Oct →
office13–60.0814%13 Oct →
office12–20.0022%11 Oct →
office13–8-0.0735%11 Oct →
office11–130.0216%11 Oct →
office4–8-0.0413%11 Oct →
office6–13-0.0419%11 Oct →
office5–13-0.0329%11 Oct →
office12–120.0233%10 Oct →
mirage4–13-0.0536%10 Oct →
cache13–11-0.0212%8 Oct →
nuke13–5-0.0115%8 Oct →
nuke13–70.1019%8 Oct →
office13–9-0.0316%7 Oct →
office13–6-0.0219%7 Oct →
office13–30.0520%7 Oct →
office13–50.0322%7 Oct →
office13–40.0716%6 Oct →
office6–13-0.0316%6 Oct →
office6–130.0930%6 Oct →
office13–7-0.0628%5 Oct →
office13–110.0622%5 Oct →
office5–13-0.0821%2 Oct →
office8–13-0.0014%24 Sept →
office3–130.0129%24 Sept →
office13–90.0217%23 Sept →
office12–120.0323%23 Sept →
overpass5–9-0.1028%23 Sept →
office11–7-0.0326%22 Sept →
office11–130.0220%22 Sept →
office5–13-0.0320%22 Sept →
office13–9-0.0329%21 Sept →
office13–9-0.0216%21 Sept →
office13–70.0615%21 Sept →
office13–10-0.0115%19 Sept →
office12–120.0220%19 Sept →
office4–13-0.0325%19 Sept →
office13–9-0.0722%18 Sept →
office13–10-0.0112%18 Sept →
office6–130.1323%18 Sept →
office13–6-0.0414%17 Sept →
office13–9-0.0320%17 Sept →
office7–13-0.0512%14 Sept →
office12–120.0023%13 Sept →
office10–13-0.0225%13 Sept →
office13–110.0422%10 Sept →
office13–10.1061%10 Sept →
office13–7-0.0215%10 Sept →
office13–11-0.0422%10 Sept →
nuke13–50.0152%10 Sept →
ancient13–50.0522%10 Sept →
office12–120.0429%9 Sept →
office3–13-0.0343%9 Sept →
office13–7-0.0042%9 Sept →
office13–60.0020%9 Sept →
office13–90.0131%9 Sept →
office13–11-0.0014%9 Sept →
office8–13-0.0610%7 Sept →
mirage5–13-0.0623%7 Sept →
office13–110.0634%1 Sept →
office13–8-0.0519%1 Sept →
mirage11–10.049%26 Aug →
nuke7–130.0036%26 Aug →
office1–130.0113%25 Aug →
office5–130.0423%25 Aug →
office8–130.1019%25 Aug →
office3–5-0.0725%25 Aug →
office10–13-0.0317%25 Aug →
office12–120.0519%25 Aug →
office8–130.0840%25 Aug →
office3–130.1231%25 Aug →
office13–5-0.0330%25 Aug →
ancient7–13-0.0217%25 Aug →
office10–13-0.0518%25 Aug →
office13–10-0.0412%24 Aug →
office13–70.2215%24 Aug →
office10–130.0119%24 Aug →
office9–13-0.0319%23 Aug →
office13–50.1015%21 Aug →
office13–90.0326%21 Aug →
office10–13-0.0120%22 Apr →
office13–7-0.0727%22 Apr →
office7–13-0.0220%20 Apr →
office13–90.0522%16 Apr →
ancient12–16-0.0223%16 Apr →
mirage13–100.0222%15 Apr →
mirage13–40.0323%15 Apr →
nuke15–15-0.0724%14 Apr →
office3–13-0.0511%14 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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