Theodore Swangathon IX

Theodore Swangathon IX — CS2 Stats

76561198064269150[U:1:104003422]Steam profile ↗✓ No bans

430Tracked matches26%Win rate2022Tracked since
CSDB Rating2.7 LearningPositional Player
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim26
Positioning36
Utility31

0–100 skill scores via Leetify.

Recent form

COLD315910Last 10031%Win rateWLWTWLLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +4ms 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

  • 311 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 645ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 672ms

Last 20

  • 5123 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 670ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim2.6
Utility3.1
Positioning3.6
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

NiKo

Plays most like NiKo 70% 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. 686ms 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

Aim2.6
Positioning3.6
Utility3.1
Mechanics4.8
Opening Duels0.0
Win Impact0.0

Composite 2.7/10 (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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time689ms−30ms
first ⅓ avg 719ms → last ⅓ avg 689ms
Headshot accuracy10.7%+1.8%
first ⅓ avg 8.9% → last ⅓ avg 10.7%

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

0.11Best match rating · 13–5 · dust2, 26 Jun
60%Best headshot accuracy · 5–13 · office, 7 Jun
422msFastest reaction time · 13–7 · office, 26 Jun
13–2Biggest win · dust2, 6 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
87In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 50% over 6nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D52173533%-0.04
officeC146843%-0.05
nukeD92722%-0.06
infernoB63350%-0.07
vertigoC52340%-0.03
cache41325%-0.04
warden3030%-0.04
overpass2020%-0.01
ancient1010%-0.04
boulder1010%-0.07
mirage1010%-0.06
italy1010%-0.10
anubis1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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.

11.0%Headshot accuracy
28.1%Accuracy (enemy spotted)
28.8%Spray accuracy
71.7%Counter-strafing
10.8°Preaim
686msReaction time
24.5%T opening success
29.7%CT opening success
0.49Enemies flashed / flash
3.7%Flash assists
9.75HE damage / grenade
3.54Flashes / 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. 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 10.9995% — below the 15% mark we flag

    Aim Training
  2. 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 0.4857 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 24.5464% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–60.0113%18 Sept
ancient8–13-0.047%18 Sept
dust213–10-0.0211%11 Sept
inferno12–12-0.056%11 Sept
dust213–11-0.0329%11 Sept
nuke10–13-0.122%11 Sept
dust23–13-0.070%11 Sept
dust25–13-0.118%7 Sept
boulder2–13-0.070%7 Sept
dust24–13-0.058%4 Sept
dust213–40.079%4 Sept
dust25–13-0.0917%4 Sept
dust212–12-0.0217%28 Aug
dust24–13-0.0713%28 Aug
vertigo13–8-0.0112%28 Aug
office10–13-0.070%24 Aug
nuke4–13-0.0714%21 Aug
dust215–15-0.039%21 Aug
dust29–13-0.056%16 Aug
dust29–13-0.0510%15 Aug
dust28–13-0.0619%15 Aug
dust23–2-0.1414%15 Aug
nuke2–130.004%14 Aug
dust25–13-0.0618%12 Aug
nuke4–13-0.0617%11 Aug
nuke7–13-0.0712%7 Aug
dust23–13-0.0916%7 Aug
dust213–110.0410%7 Aug
cache10–130.0217%31 Jul
dust25–13-0.0513%24 Jul
dust213–11-0.0112%23 Jul
dust25–13-0.060%23 Jul
dust24–13-0.0414%22 Jul
dust28–13-0.0015%22 Jul
office2–13-0.110%11 Jul
dust211–13-0.0235%26 Jun
overpass1–70.018%26 Jun
dust28–13-0.0118%26 Jun
dust212–12-0.0317%26 Jun
dust213–3-0.008%26 Jun
office13–7-0.063%26 Jun
nuke4–13-0.066%26 Jun
dust213–100.0612%26 Jun
dust213–5-0.0114%26 Jun
dust212–12-0.073%26 Jun
dust213–50.1120%26 Jun
office4–20.020%13 Jun
dust215–15-0.0510%13 Jun
overpass9–13-0.0311%12 Jun
dust28–13-0.056%12 Jun
office10–13-0.046%12 Jun
vertigo12–12-0.0611%12 Jun
dust211–13-0.046%12 Jun
office6–13-0.0317%9 Jun
dust211–13-0.0211%9 Jun
mirage3–13-0.067%7 Jun
office5–13-0.0960%7 Jun
nuke13–8-0.018%6 Jun
inferno12–9-0.0910%6 Jun
dust213–20.0316%6 Jun
office12–120.0113%6 Jun
dust213–11-0.034%6 Jun
dust26–13-0.0514%5 Jun
italy6–13-0.1010%5 Jun
inferno3–13-0.099%5 Jun
office13–9-0.058%31 May
dust26–13-0.100%31 May
vertigo4–130.009%31 May
anubis4–13-0.0210%30 May
inferno13–9-0.098%30 May
inferno13–11-0.038%30 May
dust213–7-0.123%30 May
dust25–13-0.0515%30 May
dust210–13-0.0817%24 May
vertigo11–13-0.036%24 May
dust213–50.026%23 May
warden11–13-0.057%23 May
cache11–13-0.0818%23 May
dust210–13-0.015%22 May
warden7–13-0.049%22 May
warden8–13-0.0414%19 May
nuke13–11-0.109%18 May
dust27–13-0.095%18 May
dust213–8-0.079%17 May
office13–10-0.050%16 May
vertigo13–8-0.0310%16 May
dust213–10-0.0011%16 May
dust27–13-0.0512%16 May
dust28–13-0.0114%16 May
nuke1–13-0.023%15 May
dust27–13-0.0411%15 May
dust212–12-0.0513%15 May
cache4–13-0.055%15 May
office6–13-0.0813%15 May
dust213–5-0.045%15 May
office12–12-0.0710%13 May
cache13–10-0.0313%12 May
inferno9–13-0.078%12 May
office9–4-0.020%12 May
dust211–13-0.068%12 May

Match data via Leetify.

Recent teammates

Milestones

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