T-Rectodactyl

T-Rectodactyl — CS2 Stats

76561198644566592[U:1:684300864]Steam profile ↗✓ No bans

74Tracked matches23%Win rate2026Tracked since
179Hours in CS14Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim38
Positioning45
Utility20

0–100 skill scores via Leetify.

Recent form

COLD26–41–7Last 7435%Win rateLLLWLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −0.0pp headshot accuracy · +74ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 767ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 786ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 749ms

Newest first, from the last 74 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 (+2.1 against its own average).

Aim3.8
Utility2.0
Positioning4.5
Opening Duels0.8

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 738ms 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

Aim3.8
Positioning4.5
Utility2.0
Mechanics5.9
Opening Duels1.9
Win Impact0.0

Composite 3.4/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time734ms+86ms
first ⅓ avg 648ms → last ⅓ avg 734ms
Headshot accuracy12.5%−5.8%
first ⅓ avg 18.3% → last ⅓ avg 12.5%

Rolling 5-match average across the last 74 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–8 · anubis, 18 Sept →
67%Best headshot accuracy · 8–13 · nuke, 13 Sept →
359msFastest reaction time · 4–13 · mirage, 10 Sept →
13–1Biggest win · mirage, 18 Sept →

Across the last 74 tracked matches.

Highlights

4Longest win streak
L3Current streak
3–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 44% over 16nukeWeakest map · 34% over 38
MapGradePlayedRecordWin rateAvg rating
nukeD3813–2534%-0.01
mirageC167–944%-0.00
vertigoC52–340%0.00
anubis—41–325%0.06
inferno—41–325%0.08
office—20–20%-0.01
dust2—20–20%-0.05
ancient—21–150%0.05
train—11–0100%0.11

Across the last 74 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (34% over 38). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,613Lifetime kills
0.93K/D
123Matches
43.1%Match win rate
38.2%Headshot %
0.0%Shot accuracy
300MVPs
34Hours (in match)
93Bombs planted
15Bombs defused

Most-used weapons

Lifetime map wins

412nuke
149inferno
51vertigo
31office
16dust2
13train
1ar_shoots

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.

12.9%Headshot accuracy
39.4%Accuracy (enemy spotted)
45.7%Spray accuracy
76.7%Counter-strafing
16.7°Preaim
738msReaction time
34.6%T opening success
40.5%CT opening success
0.42Enemies flashed / flash
7.7%Flash assists
4.05HE damage / grenade
2.57Flashes / 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 16.7132° — 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 12.8706% — 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 737.8381ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Nuke

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

34% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–11-0.0514%8 Oct →
nuke1–7-0.030%8 Oct →
office5–13-0.0814%8 Oct →
train13–50.1119%8 Oct →
nuke9–13-0.060%6 Oct →
nuke11–130.059%6 Oct →
nuke13–60.0421%2 Oct →
nuke7–130.046%2 Oct →
dust22–13-0.040%2 Oct →
ancient0–13-0.0633%2 Oct →
mirage3–13-0.0920%2 Oct →
nuke7–7-0.020%25 Sept →
nuke7–13-0.0431%25 Sept →
nuke3–13-0.090%25 Sept →
nuke9–13-0.0126%25 Sept →
nuke7–10-0.0710%23 Sept →
nuke3–13-0.110%23 Sept →
vertigo13–50.018%23 Sept →
vertigo13–110.0318%23 Sept →
vertigo4–13-0.046%23 Sept →
vertigo5–13-0.0210%23 Sept →
nuke4–13-0.0210%22 Sept →
nuke2–13-0.0325%22 Sept →
nuke3–13-0.0917%22 Sept →
mirage13–6-0.057%22 Sept →
nuke8–130.0618%22 Sept →
nuke13–4-0.067%22 Sept →
mirage4–130.047%22 Sept →
mirage13–8-0.0513%22 Sept →
nuke1–130.0427%21 Sept →
nuke13–110.0220%21 Sept →
nuke13–100.1621%21 Sept →
mirage12–12-0.0312%21 Sept →
mirage12–120.0316%21 Sept →
nuke13–9-0.0314%21 Sept →
nuke12–120.0213%21 Sept →
dust23–13-0.0618%21 Sept →
anubis11–130.0611%18 Sept →
mirage13–10.089%18 Sept →
mirage13–100.0613%18 Sept →
mirage8–130.0217%18 Sept →
anubis8–130.0111%18 Sept →
anubis13–80.2312%18 Sept →
mirage13–20.1913%17 Sept →
ancient13–70.157%17 Sept →
mirage13–10-0.0621%13 Sept →
nuke8–13-0.0667%13 Sept →
vertigo7–130.039%13 Sept →
nuke13–20.074%13 Sept →
inferno9–60.1211%12 Sept →
mirage10–13-0.029%12 Sept →
mirage3–0-0.0350%12 Sept →
nuke13–20.0636%11 Sept →
inferno8–80.119%10 Sept →
mirage4–13-0.0521%10 Sept →
nuke2–13-0.1114%10 Sept →
nuke13–6-0.0318%10 Sept →
nuke6–80.078%10 Sept →
nuke13–5-0.0217%10 Sept →
nuke13–110.0416%9 Sept →
nuke13–80.1014%9 Sept →
nuke5–13-0.0021%9 Sept →
nuke9–13-0.0114%9 Sept →
nuke13–3-0.0213%8 Sept →
mirage2–8-0.0816%8 Sept →
mirage5–130.0212%8 Sept →
nuke3–130.0218%7 Sept →
nuke3–13-0.0844%7 Sept →
nuke13–9-0.070%7 Sept →
nuke7–13-0.070%7 Sept →
office12–120.0613%5 Sept →
nuke12–12-0.1040%5 Sept →
inferno8–80.1528%5 Sept →
inferno5–9-0.066%4 Sept →

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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