flinky

flinky — CS2 Stats

76561197962223142[U:1:1957414]Steam profile ↗✓ No bans

687Tracked matches38%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating5,763Light Blue band · top ~75.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 687 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 22 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 5,763 -1,247 22 Jul – 24 Sept · 20 days played
4,8887,474peak 7,47422 Jul24 Sept
7,580Peak Premier in tracked matches
19Days played since 2026-07-22

Premier CS Rating

  • 1,711 below peak (7,474)
  • -1,165 over 30 days · declining
  • Next: Blue band at 10,000 — 4,237 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGflinkyPREMIER5,763 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning63
Utility49

0–100 skill scores via Leetify.

Recent form

COLD38–57–5Last 10038%Win rateLLLLLLWWWT

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +4.1pp headshot accuracy · +3ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 613ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 651ms

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 (+1.9 against its own average).

Aim4.1
Utility4.9
Positioning6.3
Opening Duels1.9

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

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 661ms 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

Aim4.1
Positioning6.3
Utility4.9
Mechanics5.2
Opening Duels3.0
Win Impact1.0

Composite 4.0/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time660ms+10ms
first ⅓ avg 650ms → last ⅓ avg 660ms
Headshot accuracy17.6%+0.8%
first ⅓ avg 16.8% → last ⅓ 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.

Personal bests

0.21Best match rating · 13–6 · nuke, 5 Sept →
43%Best headshot accuracy · 13–5 · ancient, 19 Aug →
484msFastest reaction time · 13–6 · inferno, 18 Sept →
13–2Biggest win · nuke, 14 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L6Current streak
9–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 12cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%0.02
ancientC197–1237%-0.01
anubisD175–1229%-0.00
mirageD124–833%-0.00
infernoS128–467%-0.01
cacheD102–820%0.01
dust2D62–433%-0.01
train—21–150%-0.08

Across the last 100 tracked matches.

Skill profile

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

17.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.0%Spray accuracy
73.3%Counter-strafing
11.2°Preaim
661msReaction time
43.9%T opening success
40.0%CT opening success
0.52Enemies flashed / flash
2.1%Flash assists
11.59HE damage / grenade
12.03Flashes / match

Recommended for you

Spend your practice time on Cache

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis1–13-0.0715%19 Sept →
cache0–10-0.0218%19 Sept →
ancient8–13-0.0212%19 Sept →
nuke6–13-0.0036%19 Sept →
mirage11–130.0215%19 Sept →
inferno8–13-0.0019%19 Sept →
anubis13–11-0.0211%18 Sept →
mirage13–11-0.0314%18 Sept →
cache13–30.0919%18 Sept →
anubis15–15-0.0119%18 Sept →
nuke13–110.0116%18 Sept →
anubis13–50.0014%18 Sept →
inferno13–6-0.0411%18 Sept →
inferno13–80.0611%18 Sept →
mirage6–0-0.048%18 Sept →
anubis6–13-0.034%18 Sept →
dust24–13-0.0938%18 Sept →
ancient5–13-0.0513%18 Sept →
nuke14–160.0316%18 Sept →
ancient13–50.067%18 Sept →
anubis10–13-0.0721%17 Sept →
anubis3–13-0.0214%12 Sept →
train5–13-0.1138%12 Sept →
mirage7–13-0.0319%12 Sept →
mirage13–11-0.0017%12 Sept →
inferno2–13-0.0716%12 Sept →
ancient10–13-0.0120%12 Sept →
nuke16–120.0515%11 Sept →
anubis10–13-0.0023%11 Sept →
anubis13–160.0824%11 Sept →
mirage13–9-0.0324%5 Sept →
inferno13–40.0125%5 Sept →
dust213–40.0111%5 Sept →
cache15–150.0324%5 Sept →
mirage8–130.0238%5 Sept →
nuke13–60.2119%5 Sept →
ancient8–130.1321%5 Sept →
anubis8–13-0.0129%4 Sept →
mirage10–130.0432%4 Sept →
nuke3–13-0.0115%30 Aug →
anubis13–6-0.017%30 Aug →
ancient8–130.0113%30 Aug →
inferno13–100.1028%29 Aug →
anubis13–30.0524%29 Aug →
cache8–13-0.039%29 Aug →
nuke3–13-0.0717%29 Aug →
ancient13–110.0116%29 Aug →
nuke13–110.1316%28 Aug →
cache9–130.0333%28 Aug →
mirage8–13-0.0325%28 Aug →
inferno13–5-0.0213%28 Aug →
nuke8–13-0.0216%28 Aug →
mirage10–130.0219%28 Aug →
dust28–130.0528%28 Aug →
cache1–13-0.0633%22 Aug →
nuke9–130.0212%22 Aug →
ancient8–13-0.0215%22 Aug →
ancient16–14-0.0023%19 Aug →
dust213–40.029%19 Aug →
ancient13–50.0715%19 Aug →
ancient8–13-0.0721%19 Aug →
ancient13–5-0.0143%19 Aug →
cache5–13-0.0118%19 Aug →
dust25–13-0.0625%19 Aug →
ancient4–13-0.1218%19 Aug →
nuke12–12-0.0723%19 Aug →
nuke5–13-0.0118%19 Aug →
inferno16–13-0.036%19 Aug →
nuke13–30.1115%19 Aug →
anubis5–13-0.0228%19 Aug →
nuke5–130.0114%18 Aug →
anubis13–50.0623%18 Aug →
ancient11–130.0015%15 Aug →
inferno7–13-0.0611%15 Aug →
inferno16–130.0116%15 Aug →
nuke8–130.0216%15 Aug →
nuke13–10-0.0535%14 Aug →
ancient13–7-0.0315%14 Aug →
train13–11-0.0515%14 Aug →
inferno16–130.0321%14 Aug →
nuke13–20.0615%14 Aug →
cache13–80.0011%14 Aug →
inferno8–13-0.059%13 Aug →
cache11–130.0421%8 Aug →
nuke9–13-0.0215%8 Aug →
nuke7–130.0318%8 Aug →
ancient7–13-0.029%8 Aug →
mirage6–13-0.0118%8 Aug →
anubis11–130.0618%8 Aug →
ancient15–150.0216%8 Aug →
nuke13–11-0.0120%8 Aug →
cache8–13-0.0115%29 Jul →
nuke13–70.0621%29 Jul →
nuke13–16-0.0022%22 Jul →
anubis15–15-0.0117%22 Jul →
ancient10–13-0.083%22 Jul →
ancient13–70.0331%22 Jul →
mirage8–130.0221%22 Jul →
anubis6–13-0.068%22 Jul →
dust25–130.0119%22 Jul →

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 →