teddy

teddy — CS2 Stats

76561198052053071[U:1:91787343]Steam profile ↗✓ No bans

1,914Tracked matches48%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating19,440Top 50% of 205,416 CSDB-tracked playersPurple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#90827 of 252504 tracked
FaceitLevel 8 · 1,555 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,440 -2,606 22 Apr – 14 Oct · 28 days played
16,54523,769peak 23,76922 Apr14 Oct
Faceit ELO: 1,555 +0 28 Aug – 9 Sept · 3 observations
1,5551,555peak 1,55528 Aug9 Sept
23,769Peak Premier in tracked matches
1,555Highest Faceit ELO seen on CSDB
33Days played since 2026-04-22

Faceit ELO

  • At peak — 1,555
  • Next: Level 9 at 1,751 — 196 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier CS Rating

  • 4,329 below peak (23,769)
  • +607 over 30 days · improving
  • +838 over 90 days
  • Next: Pink band at 20,000 — 560 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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.

Share this profile

CSDB.GGteddyFACEITLevel 8 · 1,555 ELOSTANDINGTop 31.2% of rankedPREMIER19,440 · Purple bandPEAK ELO1,555csdb.gg/stats

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Performance scores

Aim81
Positioning65
Utility52

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateLWWLWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +5.5pp headshot accuracy · +16ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 601ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim8.1
Utility5.2
Positioning6.5
Opening Duels4.1
Clutch5.6

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 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 564ms 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

Aim8.1
Positioning6.5
Utility5.2
Mechanics6.7
Opening Duels4.6
Win Impact4.4

Composite 6.4/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time566ms−29ms
first ⅓ avg 595ms → last ⅓ avg 566ms
Headshot accuracy17.9%+2.4%
first ⅓ avg 15.4% → last ⅓ avg 17.9%

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

0.19Best match rating · 9–5 · debris, 27 Sept →
38%Best headshot accuracy · 13–4 · nuke, 27 Apr →
328msFastest reaction time · 5–13 · mirage, 28 Aug →
13–1Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 73% over 11cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S2316–770%0.03
mirageB2312–1152%0.01
infernoB136–746%0.02
nukeS118–373%0.04
ancientB115–645%0.01
cacheD93–633%0.02
anubisC83–538%0.03
debris—11–0100%0.19
vertigo—10–10%0.10

Across the last 100 tracked matches.

Faceit stats

Combat

46Matches
67%Win rate
1.27Avg K/D
87.0ADR
41%Headshot %

Clutches & streaks

48%1v1 clutch win
33%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1369%1.2916.4
Dust2989%1.4021.2
Nuke875%1.2217.3
Ancient560%1.4222.4
Vertigo450%1.2516.8
Overpass250%1.0217.5
Inferno250%1.3818.5
Train1100%0.9416.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

17.0%Headshot accuracy
41.7%Accuracy (enemy spotted)
45.6%Spray accuracy
80.2%Counter-strafing
11.4°Preaim
564msReaction time
47.0%T opening success
49.9%CT opening success
0.49Enemies flashed / flash
4.6%Flash assists
5.77HE damage / grenade
12.87Flashes / 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. 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 0.4871 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis5–130.0621%14 Oct →
anubis13–80.0311%14 Oct →
dust213–60.0222%13 Oct →
mirage4–13-0.0427%3 Oct →
inferno13–100.0125%2 Oct →
mirage13–8-0.0017%2 Oct →
dust210–130.0324%2 Oct →
debris9–50.1920%27 Sept →
nuke13–100.0221%26 Sept →
ancient16–130.0114%12 Sept →
nuke10–130.0022%12 Sept →
nuke13–50.0215%12 Sept →
ancient15–150.0412%12 Sept →
dust29–130.0123%4 Sept →
cache13–50.059%4 Sept →
cache14–16-0.0013%4 Sept →
mirage16–13-0.0118%4 Sept →
nuke16–130.0111%1 Sept →
anubis3–130.058%1 Sept →
mirage4–13-0.0118%1 Sept →
mirage13–11-0.0224%1 Sept →
ancient13–16-0.0318%1 Sept →
nuke7–130.0118%29 Aug →
dust29–130.0411%29 Aug →
ancient13–50.059%29 Aug →
ancient10–13-0.0010%28 Aug →
mirage5–13-0.0517%28 Aug →
cache3–13-0.0318%27 Aug →
inferno1–13-0.0422%27 Aug →
anubis13–60.0519%27 Aug →
dust213–4-0.0113%27 Aug →
cache6–13-0.0532%27 Aug →
nuke13–90.0823%26 Aug →
ancient10–130.0212%26 Aug →
dust23–13-0.0218%26 Aug →
ancient13–60.0120%26 Aug →
inferno13–80.0119%25 Aug →
mirage13–9-0.0613%23 Aug →
nuke13–60.1323%23 Aug →
dust213–100.0627%23 Aug →
anubis3–130.0418%23 Aug →
inferno11–13-0.0411%22 Aug →
inferno13–80.0215%22 Aug →
mirage13–80.0117%22 Aug →
cache11–13-0.0311%22 Aug →
nuke4–60.0417%21 Aug →
ancient6–130.0217%21 Aug →
inferno15–150.0027%21 Aug →
nuke13–50.0317%21 Aug →
dust213–90.0423%20 Aug →
anubis13–40.0321%20 Aug →
dust213–10.0013%20 Aug →
ancient13–30.1014%20 Aug →
dust210–130.0116%20 Aug →
inferno13–30.0911%20 Aug →
dust21–13-0.0118%20 Aug →
nuke13–90.0432%19 Aug →
inferno13–10.1114%19 Aug →
dust216–140.0614%19 Aug →
dust216–120.0420%19 Aug →
dust213–20.0615%18 Aug →
inferno11–13-0.0111%18 Aug →
cache13–60.0523%18 Aug →
mirage10–130.0016%18 Aug →
dust27–130.0119%18 Aug →
mirage13–50.0325%18 Aug →
dust213–90.0425%18 Aug →
inferno13–80.0817%18 Aug →
ancient13–80.0622%17 Aug →
mirage11–13-0.0319%17 Aug →
mirage11–13-0.0317%17 Aug →
mirage4–100.025%15 Aug →
cache9–130.0121%15 Aug →
dust213–100.1011%15 Aug →
mirage11–130.0719%15 Aug →
dust213–90.1222%15 Aug →
dust213–4-0.0111%15 Aug →
cache9–130.039%15 Aug →
mirage13–110.0235%13 Aug →
mirage11–13-0.0019%13 Aug →
vertigo9–130.1015%8 Aug →
dust213–90.0418%8 Aug →
anubis10–13-0.018%8 Aug →
dust213–9-0.0111%5 Jul →
inferno7–90.0410%3 Jul →
ancient11–13-0.1211%3 Jul →
anubis13–160.0114%3 Jul →
mirage11–13-0.0213%3 Jul →
inferno14–16-0.0014%3 Jul →
cache13–50.119%30 Apr →
dust213–50.0210%28 Apr →
mirage1–130.0314%28 Apr →
nuke13–40.0938%27 Apr →
mirage13–100.026%27 Apr →
mirage13–40.1714%26 Apr →
mirage13–100.0614%25 Apr →
mirage13–90.1217%25 Apr →
dust216–140.0912%23 Apr →
mirage13–6-0.0321%22 Apr →
inferno4–130.0412%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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