totothedog

totothedog — CS2 Stats

76561199070968937[U:1:1110703209]Steam profile ↗✓ No bans

1,966Tracked matches62%Win rate2022Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 5 · 1,018 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtotothedogFACEITLevel 5 · 1,018 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

HOT49–48–3Last 10049%Win rateLWWWWWWTWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.2pp headshot accuracy · +34ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

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 (+1.4 against its own average).

Aim6.7
Utility5.4
Positioning6.1
Opening Duels3.8
Clutch3.4

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim6.7
Positioning6.1
Utility5.4
Mechanics6.5
Opening Duels6.3
Win Impact9.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time568ms−48ms
first ⅓ avg 616ms → last ⅓ avg 568ms
Headshot accuracy21.2%−1.2%
first ⅓ avg 22.3% → last ⅓ avg 21.2%

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

0.14Best match rating · 13–7 · overpass, 21 May →
45%Best headshot accuracy · 9–0 · train, 24 Apr →
398msFastest reaction time · 13–11 · dust2, 3 Sept →
13–1Biggest win · dust2, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.01
mirageB2312–1152%-0.01
anubisC114–736%-0.00
infernoA116–555%-0.01
ancientA85–363%0.02
cacheD62–433%-0.01
nukeC52–340%-0.02
vertigo—21–150%-0.07
train—22–0100%0.09
overpass—22–0100%0.10
office—10–10%-0.06
alpine—11–0100%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

1,095Matches
50%Win rate
0.93Avg K/D
70.7ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage29752%0.9213.4
Dust219746%0.9213.9
Ancient19651%0.9413.7
Inferno15151%0.9413.4
Anubis12450%0.8812.4
Nuke5556%1.0515.4
Vertigo2650%0.8413.9
Train2030%0.8812.9

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.

21.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.4%Spray accuracy
79.4%Counter-strafing
11.8°Preaim
570msReaction time
62.6%T opening success
47.5%CT opening success
0.55Enemies flashed / flash
11.8%Flash assists
6.84HE damage / grenade
8.12Flashes / match

Recommended for you

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0216%8 Oct →
nuke13–80.0017%8 Oct →
mirage13–110.0033%8 Oct →
dust213–3-0.015%4 Oct →
inferno13–60.0413%4 Oct →
mirage13–60.0543%4 Oct →
dust213–10-0.0623%4 Oct →
nuke12–120.0328%3 Oct →
dust213–9-0.0322%2 Oct →
mirage7–13-0.0217%2 Oct →
ancient13–5-0.0036%2 Oct →
mirage8–13-0.0913%1 Oct →
dust216–140.0620%27 Sept →
anubis8–13-0.0330%26 Sept →
vertigo13–11-0.0811%26 Sept →
cache8–13-0.0416%26 Sept →
dust213–10.0619%25 Sept →
mirage13–6-0.0314%25 Sept →
dust21–13-0.0624%25 Sept →
mirage13–6-0.0013%25 Sept →
dust211–13-0.0122%25 Sept →
mirage13–70.0726%25 Sept →
ancient7–130.0133%25 Sept →
cache13–50.0612%25 Sept →
dust211–13-0.0122%19 Sept →
mirage4–13-0.0514%19 Sept →
nuke9–13-0.0820%17 Sept →
anubis13–8-0.0426%16 Sept →
anubis13–70.0724%13 Sept →
dust213–2-0.0815%13 Sept →
dust213–80.1230%10 Sept →
dust29–13-0.0421%7 Sept →
dust22–130.0023%7 Sept →
ancient13–20.0711%6 Sept →
dust213–110.0531%3 Sept →
mirage13–110.0418%3 Sept →
ancient14–160.0417%1 Sept →
mirage4–13-0.1017%1 Sept →
mirage3–130.0617%1 Sept →
mirage4–130.0110%1 Sept →
mirage13–60.0422%1 Sept →
cache13–3-0.0312%27 Aug →
office2–13-0.0633%27 Aug →
anubis8–130.0636%27 Aug →
mirage13–4-0.0110%27 Aug →
inferno13–110.0622%25 Aug →
mirage9–130.0023%25 Aug →
nuke13–11-0.0130%25 Aug →
mirage13–30.0513%24 Aug →
train13–50.0736%24 Aug →
dust213–9-0.0124%20 Aug →
dust213–70.0223%19 Aug →
cache11–13-0.0722%18 Aug →
inferno10–13-0.0914%17 Aug →
anubis13–90.0317%17 Aug →
mirage13–90.0321%15 Aug →
inferno11–13-0.0721%14 Aug →
dust23–13-0.0518%11 Aug →
dust211–130.0126%11 Aug →
dust213–100.0028%7 Aug →
dust29–13-0.0619%6 Aug →
anubis16–14-0.0516%6 Aug →
anubis5–130.0115%6 Aug →
dust221–250.0115%31 Jul →
dust212–12-0.0424%24 Jul →
mirage11–13-0.0426%24 Jul →
anubis10–13-0.0241%24 Jul →
nuke7–13-0.0319%21 Jul →
inferno13–40.0120%7 Jul →
ancient13–7-0.0215%7 Jul →
mirage13–3-0.0212%7 Jul →
cache5–13-0.0020%7 Jul →
anubis11–13-0.0519%2 Jul →
dust25–13-0.0520%23 Jun →
anubis5–130.0120%12 Jun →
vertigo11–13-0.0724%7 Jun →
ancient8–130.0029%21 May →
dust213–10-0.0316%21 May →
overpass13–70.1430%21 May →
inferno13–100.0935%21 May →
inferno9–13-0.0312%20 May →
dust29–130.0321%20 May →
dust23–2-0.0627%20 May →
ancient22–190.0330%20 May →
dust27–13-0.0618%18 May →
mirage1–13-0.0623%18 May →
inferno13–50.0730%18 May →
dust23–130.0425%18 May →
mirage13–90.0324%17 May →
cache12–120.0317%4 May →
dust26–130.0020%4 May →
mirage4–13-0.0119%4 May →
inferno7–13-0.1113%25 Apr →
ancient16–120.0226%25 Apr →
inferno8–13-0.0133%25 Apr →
mirage8–13-0.0518%25 Apr →
alpine13–10-0.107%24 Apr →
train9–00.1145%24 Apr →
inferno13–6-0.0630%24 Apr →
overpass13–50.0721%19 Mar →

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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