TOOTH FAIRY

TOOTH FAIRY — CS2 Stats

ZA76561199046306148[U:1:1086040420]Steam profile ↗✓ No bans

83Tracked matches10%Win rate2020Tracked since
885Hours in CS10Hrs last 2 wks
CSDB Rating1.3 LearningAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim6
Positioning12
Utility8

0–100 skill scores via Leetify.

Recent form

COLD7–55Last 6211%Win rateLLLLLWLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −9.5pp headshot accuracy · +105ms reaction

Win rate 0pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 7%
  • Avg reaction 924ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 8%
  • Avg reaction 891ms

Last 20

  • 2–18 · 10% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 13%
  • Avg reaction 838ms

Newest first, from the last 62 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.

Aim0.6
Utility0.8
Positioning1.2
Opening Duels0.0

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

device

Plays most like device 76% 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. 834ms 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

Aim0.6
Positioning1.2
Utility0.8
Mechanics5.2
Opening Duels0.0
Win Impact0.0

Composite 1.3/10 (Learning), 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 rating-0.09+0.01
first ⅓ avg -0.11 → last ⅓ avg -0.09
Reaction time838ms+14ms
first ⅓ avg 824ms → last ⅓ avg 838ms
Headshot accuracy13.0%+3.6%
first ⅓ avg 9.4% → last ⅓ avg 13.0%

Rolling 5-match average across the last 62 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

-0.02Best match rating · 11–13 · mirage, 31 Oct →
50%Best headshot accuracy · 13–9 · dust2, 28 Jun →
586msFastest reaction time · 2–13 · dust2, 6 Sept →
13–3Biggest win · mirage, 14 May →

Across the last 62 tracked matches.

Highlights

2Longest win streak
L5Current streak
2–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 20% over 10dust2Weakest map · 8% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D252–238%-0.10
infernoD112–918%-0.10
nukeD102–820%-0.11
mirageD81–713%-0.10
anubis—40–40%-0.11
cache—20–20%-0.10
ancient—20–20%-0.11

Across the last 62 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,431Lifetime kills
0.52K/D
1,908Matches
25.6%Match win rate
28.1%Headshot %
14.2%Shot accuracy · Top 50% of tracked players
440MVPs
429Hours (in match)
901Bombs planted
57Bombs defused

Most-used weapons

Lifetime map wins

2,041dust2
575inferno
507nuke
304vertigo
165cbble
71train
62safehouse
45office

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

Skill profile

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

11.8%Headshot accuracy
20.9%Accuracy (enemy spotted)
20.2%Spray accuracy
73.4%Counter-strafing
12.5°Preaim
834msReaction time
14.5%T opening success
12.0%CT opening success
0.18Enemies flashed / flash
0.0%Flash assists
0.46HE damage / grenade
1.46Flashes / 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 12.4812° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.7813% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 833.954ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

8% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.130%1 Nov →
cache2–13-0.074%1 Nov →
mirage2–13-0.116%31 Oct →
dust28–13-0.116%31 Oct →
mirage11–13-0.0218%31 Oct →
nuke13–7-0.148%29 Oct →
nuke12–16-0.0817%18 Oct →
anubis4–13-0.1013%16 Oct →
dust26–13-0.1111%16 Oct →
dust22–13-0.160%15 Oct →
dust21–13-0.1130%15 Oct →
anubis4–13-0.1010%15 Oct →
inferno10–13-0.0428%14 Oct →
anubis1–13-0.0929%14 Oct →
inferno9–13-0.0915%14 Oct →
ancient2–13-0.1333%14 Oct →
dust213–11-0.0415%13 Oct →
inferno4–13-0.047%13 Oct →
inferno3–13-0.100%13 Oct →
nuke1–13-0.1310%11 Oct →
nuke6–13-0.0910%4 Oct →
inferno3–13-0.138%1 Oct →
anubis1–13-0.160%1 Oct →
dust24–13-0.110%1 Oct →
dust28–13-0.075%30 Sept →
inferno4–13-0.108%30 Sept →
cache1–13-0.1215%27 Sept →
inferno13–5-0.1012%27 Sept →
inferno2–13-0.1711%27 Sept →
nuke11–13-0.1017%9 Sept →
inferno11–13-0.103%9 Sept →
dust23–13-0.114%9 Sept →
dust22–13-0.128%6 Sept →
inferno13–6-0.119%6 Sept →
dust25–13-0.0528%6 Sept →
nuke1–13-0.129%6 Sept →
dust22–13-0.100%6 Sept →
dust213–16-0.148%5 Sept →
dust211–13-0.1023%5 Sept →
mirage2–13-0.140%5 Sept →
nuke5–13-0.129%5 Sept →
ancient4–13-0.090%5 Sept →
dust23–13-0.116%5 Sept →
dust26–13-0.110%28 Jun →
dust213–9-0.1350%28 Jun →
dust26–13-0.120%6 Jun →
inferno0–13-0.1011%4 Jun →
nuke0–13-0.090%4 Jun →
dust24–13-0.0610%1 Jun →
dust23–13-0.1110%1 Jun →
nuke0–13-0.135%28 May →
mirage6–13-0.148%23 May →
mirage6–13-0.115%21 May →
mirage6–13-0.139%15 May →
dust21–13-0.118%15 May →
dust25–13-0.0918%14 May →
mirage13–3-0.0625%14 May →
nuke13–11-0.110%14 May →
mirage6–13-0.138%14 May →
dust211–13-0.096%12 May →
dust23–13-0.090%12 May →
dust23–13-0.1110%12 May →

Match data via Leetify.

Recent teammates

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

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