Teddy Westside

Teddy Westside — CS2 Stats

US76561198122475581[U:1:162209853]Steam profile ↗✓ No bans

177Tracked matches46%Win rate2025Tracked since
468Hours in CS6Hrs last 2 wks
CSDB Rating2.6 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. 37 days played since 7 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,889 +1,960 8 Mar21 Apr · 15 days played
2,8184,889peak 4,8898 Mar21 Apr
4,999Peak Premier in tracked matches
37Days played since 2026-03-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim28
Positioning40
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLWWWLLLLWL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −0.9pp headshot accuracy · +69ms 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

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 669ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 665ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

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 (+2.3 against its own average).

Aim2.8
Utility1.2
Positioning4.0
Opening Duels0.0

Strong CT-side openerLimited 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

jL

Plays most like jL 74% 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

T-side openings. Opening success drops from 32% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning4.0
Utility1.2
Mechanics2.3
Opening Duels0.3
Win Impact3.8

Composite 2.6/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time655ms−35ms
first ⅓ avg 690ms → last ⅓ avg 655ms
Headshot accuracy13.0%−0.3%
first ⅓ avg 13.3% → last ⅓ avg 13.0%

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

0.08Best match rating · 9–4 · inferno, 14 Mar
40%Best headshot accuracy · 10–2 · dust2, 13 Mar
422msFastest reaction time · 1–13 · dust2, 3 Sept
13–1Biggest win · nuke, 17 Mar

Across the last 100 tracked matches.

Highlights

9Longest win streak
56In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 80% over 5mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2314961%-0.01
dust2B179853%-0.04
anubisA95456%-0.02
ancientD93633%-0.03
cacheB84450%-0.03
infernoA74357%-0.02
overpassD72529%-0.02
mirageD61517%-0.04
trainA53260%-0.03
vertigoS54180%-0.02
office3030%-0.04
italy1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,259Lifetime kills
1.05K/D · Top 50% of tracked players
859Matches
40.4%Match win rate
32.8%Headshot %
13.5%Shot accuracy · Top 50% of tracked players
1,255MVPs
258Hours (in match)
614Bombs planted
182Bombs defused

Most-used weapons

Lifetime map wins

1,897dust2
763nuke
592inferno
172vertigo
164train
90lake
66cbble
53office

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.

12.8%Headshot accuracy
28.3%Accuracy (enemy spotted)
33.4%Spray accuracy
60.6%Counter-strafing
10.2°Preaim
661msReaction time
15.6%T opening success
32.3%CT opening success
0.19Enemies flashed / flash
0.0%Flash assists
3.13HE damage / grenade
0.66Flashes / 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. 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 12.8361% — 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 0.1874 — 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 15.6301% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0010%16 Sept
anubis13–80.027%14 Sept
nuke13–110.0211%13 Sept
dust213–3-0.0313%13 Sept
nuke8–13-0.0113%8 Sept
anubis14–160.028%8 Sept
nuke9–13-0.0521%3 Sept
dust21–13-0.0529%3 Sept
nuke13–90.0111%3 Sept
cache7–13-0.0518%29 Aug
cache5–13-0.0416%28 Aug
train13–5-0.0510%27 Aug
vertigo9–13-0.087%26 Aug
mirage4–13-0.1311%9 Jul
nuke8–13-0.0318%9 Jul
anubis11–13-0.0311%9 Jul
vertigo13–9-0.0217%19 Jun
cache13–11-0.0712%19 Jun
nuke13–7-0.0430%19 Jun
train7–13-0.0818%19 Jun
ancient2–13-0.069%9 May
italy7–130.0115%9 May
inferno12–12-0.017%9 May
cache13–8-0.016%9 May
cache12–12-0.0318%1 May
nuke13–6-0.0210%1 May
cache6–13-0.068%1 May
cache13–70.0310%29 Apr
cache13–8-0.008%29 Apr
nuke13–7-0.009%25 Apr
train13–50.0117%22 Apr
train13–9-0.0420%22 Apr
anubis9–13-0.043%21 Apr
overpass13–50.057%21 Apr
nuke13–6-0.0718%20 Apr
dust213–11-0.0315%18 Apr
nuke6–13-0.0013%17 Apr
nuke13–11-0.0217%17 Apr
overpass13–16-0.0311%10 Apr
vertigo13–20.0321%9 Apr
vertigo13–7-0.0210%9 Apr
mirage13–60.0114%9 Apr
ancient14–160.049%9 Apr
ancient10–130.019%7 Apr
inferno10–13-0.028%7 Apr
anubis12–12-0.039%5 Apr
anubis13–4-0.065%5 Apr
inferno13–5-0.0414%21 Mar
dust213–90.0314%21 Mar
ancient13–60.052%21 Mar
nuke13–4-0.0315%21 Mar
nuke13–10-0.0510%21 Mar
inferno9–5-0.1310%21 Mar
dust213–50.0315%19 Mar
ancient13–11-0.048%19 Mar
office10–13-0.0711%18 Mar
office10–13-0.0219%18 Mar
office4–13-0.0119%18 Mar
dust213–6-0.059%17 Mar
nuke13–10.0426%17 Mar
mirage1–13-0.0119%17 Mar
nuke2–13-0.017%16 Mar
dust21–13-0.147%16 Mar
anubis13–5-0.037%15 Mar
ancient7–13-0.045%15 Mar
anubis13–10-0.027%15 Mar
nuke11–13-0.046%15 Mar
nuke13–40.0111%15 Mar
dust27–13-0.0520%15 Mar
anubis13–40.019%15 Mar
nuke13–100.0017%15 Mar
dust28–13-0.0416%15 Mar
inferno9–40.088%14 Mar
nuke9–6-0.0119%14 Mar
dust213–5-0.0617%13 Mar
dust213–5-0.0216%13 Mar
ancient13–3-0.0613%13 Mar
inferno5–13-0.0313%13 Mar
dust210–2-0.0240%13 Mar
overpass7–13-0.0519%13 Mar
inferno9–50.0313%13 Mar
nuke8–80.056%13 Mar
ancient9–13-0.067%13 Mar
mirage8–13-0.028%13 Mar
nuke10–13-0.0612%13 Mar
dust213–8-0.079%12 Mar
overpass13–50.0011%12 Mar
dust213–160.006%11 Mar
overpass10–13-0.0319%11 Mar
overpass12–12-0.0310%11 Mar
nuke13–70.0410%11 Mar
nuke10–13-0.069%10 Mar
vertigo13–60.0219%8 Mar
overpass10–13-0.0316%8 Mar
dust214–16-0.0318%8 Mar
ancient3–13-0.130%8 Mar
dust27–13-0.029%8 Mar
mirage7–13-0.0714%8 Mar
dust211–13-0.0715%8 Mar
train8–130.0111%7 Mar

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 →