SisterFister

SisterFister — CS2 Stats

76561198954805080[U:1:994539352]Steam profile ↗✓ No bans

557Tracked matches59%Win rate2024Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim41
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

HOT54–34–12Last 10054%Win rateLLWWWLWWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −2.2pp headshot accuracy · +32ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.1
Utility5.7
Positioning5.9
Opening Duels4.9

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

donk

Plays most like donk 63% 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

Areas to improve

Reaction time. 642ms 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
Positioning5.9
Utility5.7
Mechanics5.8
Opening Duels3.7
Win Impact8.1

Composite 5.3/10 (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 rating0.08−0.04
first ⅓ avg 0.11 → last ⅓ avg 0.08
Reaction time597ms−34ms
first ⅓ avg 630ms → last ⅓ avg 597ms
Headshot accuracy17.3%−2.2%
first ⅓ avg 19.5% → last ⅓ avg 17.3%

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

0.44Best match rating · 9–1 · inferno, 10 Apr →
39%Best headshot accuracy · 9–2 · inferno, 14 Mar →
398msFastest reaction time · 4–9 · inferno, 17 Mar →
13–2Biggest win · mirage, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 67% over 9infernoWeakest map · 51% over 79
MapGradePlayedRecordWin rateAvg rating
infernoB7940–3951%0.11
overpassS96–367%0.13
ancient—42–250%-0.03
dust2—33–0100%0.02
nuke—21–150%-0.02
mirage—21–150%0.01
train—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (51% over 79). 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.

20.6%Headshot accuracy
29.7%Accuracy (enemy spotted)
29.0%Spray accuracy
76.1%Counter-strafing
12.9°Preaim
642msReaction time
45.3%T opening success
44.5%CT opening success
0.65Enemies flashed / flash
5.9%Flash assists
8.54HE damage / grenade
2.66Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8923° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6591 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0119%19 Oct →
ancient7–13-0.0525%19 Oct →
mirage13–20.0711%16 Oct →
ancient13–50.0611%21 Sept →
ancient13–10-0.0020%21 Sept →
mirage6–13-0.0618%21 Sept →
overpass13–80.0214%21 Sept →
train13–60.0813%21 Sept →
dust28–00.1112%21 Sept →
inferno9–60.2522%10 Sept →
inferno9–60.0919%10 Sept →
ancient4–13-0.1417%11 Aug →
dust213–4-0.0917%11 Aug →
inferno5–90.1023%5 Jun →
inferno7–90.077%5 Jun →
inferno6–90.0326%21 May →
inferno5–90.0417%21 May →
inferno7–90.0721%21 May →
inferno9–60.1624%21 May →
inferno9–30.2116%17 May →
inferno4–90.039%17 May →
inferno8–80.1421%17 May →
inferno9–70.1317%17 May →
inferno9–30.2217%17 May →
inferno4–9-0.0418%17 May →
inferno5–9-0.0414%17 May →
overpass9–70.157%17 May →
dust213–50.0323%6 May →
inferno8–80.0917%16 Apr →
inferno9–40.0924%10 Apr →
overpass9–50.1613%10 Apr →
inferno6–90.1022%10 Apr →
inferno9–10.4419%10 Apr →
inferno9–70.0514%10 Apr →
overpass4–90.0514%27 Mar →
overpass9–20.218%27 Mar →
inferno3–9-0.0723%27 Mar →
overpass6–90.028%26 Mar →
overpass9–10.2525%26 Mar →
inferno6–90.0815%26 Mar →
inferno6–90.0420%26 Mar →
overpass9–40.1911%25 Mar →
overpass8–80.0820%25 Mar →
inferno9–40.2416%25 Mar →
inferno9–40.2526%25 Mar →
inferno9–60.119%25 Mar →
inferno9–60.1616%25 Mar →
inferno6–90.1228%24 Mar →
inferno8–80.0621%24 Mar →
inferno9–20.2122%24 Mar →
inferno7–90.0610%24 Mar →
inferno9–50.0928%24 Mar →
inferno9–30.4325%24 Mar →
inferno9–50.1122%24 Mar →
inferno9–70.1420%24 Mar →
inferno2–9-0.1323%24 Mar →
inferno5–9-0.0121%20 Mar →
inferno9–60.2031%20 Mar →
inferno4–9-0.0825%20 Mar →
inferno9–70.0820%19 Mar →
inferno7–90.0320%19 Mar →
inferno9–60.1121%19 Mar →
inferno4–9-0.0514%19 Mar →
inferno9–60.0721%18 Mar →
inferno9–40.2513%18 Mar →
inferno9–10.3322%17 Mar →
inferno8–80.1725%17 Mar →
inferno4–9-0.1110%17 Mar →
inferno8–80.0817%16 Mar →
inferno9–30.3121%16 Mar →
inferno4–90.0216%16 Mar →
inferno9–50.1721%16 Mar →
inferno8–80.1423%15 Mar →
inferno6–9-0.0813%15 Mar →
inferno8–80.0722%15 Mar →
inferno9–60.2022%15 Mar →
inferno9–50.3015%15 Mar →
inferno3–9-0.1128%14 Mar →
inferno8–80.1324%14 Mar →
inferno9–20.2539%14 Mar →
inferno6–90.0315%14 Mar →
nuke13–7-0.0420%26 Feb →
inferno4–90.0214%15 Feb →
inferno9–70.1318%15 Feb →
inferno9–70.1418%15 Feb →
inferno9–60.1315%15 Feb →
inferno8–80.1727%15 Feb →
inferno3–9-0.0420%15 Feb →
inferno9–20.2521%14 Feb →
inferno9–50.1017%14 Feb →
inferno9–10.3118%14 Feb →
inferno9–40.2619%14 Feb →
inferno8–80.0219%10 Feb →
inferno9–50.1421%10 Feb →
inferno9–30.2617%10 Feb →
inferno2–9-0.0818%10 Feb →
inferno9–20.2124%8 Feb →
inferno8–80.2520%8 Feb →
inferno9–60.0718%8 Feb →
inferno7–90.0217%8 Feb →

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 →

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