dog2415

dog2415 — CS2 Stats

ES76561199127281689[U:1:1167015961]Steam profile ↗✓ No bans

3,756Tracked matches47%Win rate2021Tracked since
5,751Hours in CS33Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating26,608Top 5% of 212,695 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8857 of 259450 tracked
FaceitLevel 10 · 2,035 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (9 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: 26,608 -630 31 Jul – 24 Oct · 21 days played
26,60828,391peak 28,39131 Jul24 Oct
Faceit ELO: 2,035 +0 3 Sept – 19 Oct · 9 observations
2,0352,035peak 2,0353 Sept19 Oct
28,397Peak Premier in tracked matches
2,035Highest Faceit ELO seen on CSDB
44Days played since 2026-07-21

Faceit ELO

  • At peak — 2,035
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 465 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 1,783 below peak (28,391)
  • -1,630 over 30 days · declining
  • -630 over 90 days
  • Next: Gold band at 30,000 — 3,392 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches87128−41
Win rate54%61%−7pp
K/D1.000.91+0.10
Headshot %57%57%+0pp

Measured 1 Oct 2026 → 2 Nov 2026; previous 3 Sep 2026 → 1 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate56.8%50.9%
Shot accuracy6.3%13.7%
Kill/death ratio0.991.09
Match win rate51.1%48.4%

Share this profile

CSDB.GGdog2415FACEITLevel 10 · 2,035 ELOSTANDINGTop 12.4% of rankedPREMIER26,608 · Red band30 DAYS0 ELOPEAK ELO2,035csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning67
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWWWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −1.5pp headshot accuracy · −76ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 520ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 541ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 579ms

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 (+2 against its own average).

Aim8.2
Utility3.6
Positioning6.7
Opening Duels5.0
Clutch3.6

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

donk

Plays most like donk 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 73% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 73% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 555ms 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

Aim8.2
Positioning6.7
Utility3.6
Mechanics6.9
Opening Duels7.6
Win Impact3.9

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time557ms−66ms
first ⅓ avg 623ms → last ⅓ avg 557ms
Headshot accuracy26.6%+0.7%
first ⅓ avg 25.9% → last ⅓ avg 26.6%

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

0.32Best match rating · 13–9 · train, 13 Aug →
50%Best headshot accuracy · 6–13 · dust2, 24 Aug →
313msFastest reaction time · 0–5 · dust2, 17 Sept →
13–0Biggest win · mirage, 8 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
9–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.02
dust2B157–847%0.02
infernoC145–936%0.01
ancientC125–742%-0.01
nukeA106–460%0.05
cacheA95–456%0.02
anubisS75–271%0.05
vertigo—32–167%0.06
poseidon—21–150%0.10
office—11–0100%0.02
train—11–0100%0.32
debris—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,108Lifetime kills
0.99K/D
7,195Matches
51.1%Match win rate · Top 50% of Level 10 players
56.8%Headshot % · Top 25% of Level 10 players
6.3%Shot accuracy
25,751MVPs
3,258Hours (in match)
7,932Bombs planted
1,549Bombs defused

Most-used weapons

AK-4760,037
AWP7,398
MP95,114
MAC-104,646
Knife3,206

Lifetime map wins

15,842inferno
10,703dust2
6,440nuke
4,844vertigo
1,165train
735cbble
732lake
229office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,509Matches
50%Win rate
1.03Avg K/D
83.1ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage67647%1.0016.4
Dust251351%1.0216.5
Inferno31953%1.0516.6
Anubis30648%1.0416.8
Ancient25953%1.0316.6
Nuke19257%1.0617.4
Overpass5452%1.0618.2
Vertigo4556%1.2920.0

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.

27.0%Headshot accuracy
31.9%Accuracy (enemy spotted)
38.8%Spray accuracy
81.2%Counter-strafing
8.9°Preaim
555msReaction time
73.0%T opening success
50.6%CT opening success
0.50Enemies flashed / flash
12.2%Flash assists
5.06HE damage / grenade
4.41Flashes / 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 0.4996 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0620%1 Nov →
anubis13–100.0532%31 Oct →
anubis13–110.0541%24 Oct →
cache13–5-0.0123%24 Oct →
cache2–130.0122%24 Oct →
cache5–130.1822%24 Oct →
vertigo9–70.0930%15 Oct →
dust211–130.0729%15 Oct →
mirage13–70.0923%15 Oct →
inferno9–130.0527%15 Oct →
mirage10–130.0131%13 Oct →
inferno7–13-0.0528%13 Oct →
mirage5–13-0.0635%10 Oct →
mirage7–13-0.0224%10 Oct →
mirage8–13-0.0720%10 Oct →
mirage13–90.1030%6 Oct →
poseidon9–30.2216%6 Oct →
mirage13–20.0327%2 Oct →
vertigo13–90.0226%23 Sept →
vertigo8–130.0548%23 Sept →
mirage4–130.0331%22 Sept →
ancient1–13-0.0924%20 Sept →
ancient13–4-0.047%17 Sept →
dust20–5-0.0533%17 Sept →
cache4–13-0.0622%17 Sept →
mirage13–80.0025%16 Sept →
inferno8–130.0130%15 Sept →
inferno5–130.0620%15 Sept →
cache13–110.0322%15 Sept →
ancient13–6-0.0124%15 Sept →
nuke13–8-0.0123%14 Sept →
dust213–30.0440%14 Sept →
dust213–60.0326%14 Sept →
inferno13–30.0544%14 Sept →
mirage6–130.0615%10 Sept →
mirage13–10-0.0017%9 Sept →
mirage13–00.1327%8 Sept →
dust213–10-0.0626%8 Sept →
ancient1–130.0016%6 Sept →
dust213–5-0.0129%6 Sept →
dust21–13-0.0221%6 Sept →
mirage14–16-0.0324%5 Sept →
ancient7–13-0.0522%5 Sept →
office13–90.0229%5 Sept →
ancient6–13-0.0330%2 Sept →
mirage7–13-0.0421%1 Sept →
mirage13–110.0520%1 Sept →
dust213–9-0.0329%31 Aug →
nuke10–13-0.0132%30 Aug →
dust22–130.0524%28 Aug →
mirage13–160.0223%27 Aug →
anubis9–130.0830%26 Aug →
inferno0–13-0.0741%26 Aug →
anubis13–50.1824%26 Aug →
cache13–70.0117%26 Aug →
dust26–13-0.0350%24 Aug →
nuke10–130.1124%23 Aug →
ancient13–80.0041%21 Aug →
ancient10–130.0722%21 Aug →
inferno5–130.0230%21 Aug →
poseidon5–9-0.0226%20 Aug →
inferno9–70.1825%20 Aug →
nuke13–110.0217%20 Aug →
mirage13–8-0.0124%20 Aug →
mirage9–130.0633%15 Aug →
inferno4–130.0229%15 Aug →
inferno8–8-0.0821%14 Aug →
inferno9–20.1641%14 Aug →
dust20–13-0.0426%13 Aug →
dust212–120.2532%13 Aug →
train13–90.3242%13 Aug →
ancient10–13-0.0323%13 Aug →
mirage13–6-0.0319%12 Aug →
nuke3–130.0026%8 Aug →
inferno9–7-0.0724%8 Aug →
dust28–130.0625%8 Aug →
mirage7–13-0.0118%8 Aug →
ancient13–90.0327%7 Aug →
ancient15–150.0323%31 Jul →
inferno13–11-0.0420%31 Jul →
mirage13–90.0727%31 Jul →
anubis0–3-0.0343%31 Jul →
cache13–6-0.0125%31 Jul →
ancient13–80.0121%31 Jul →
cache13–100.0937%29 Jul →
mirage13–80.0113%29 Jul →
nuke13–60.0429%29 Jul →
debris9–50.0529%29 Jul →
mirage13–110.0323%29 Jul →
inferno11–13-0.0321%28 Jul →
cache0–6-0.0615%25 Jul →
nuke13–50.0539%24 Jul →
anubis13–100.0326%24 Jul →
dust213–40.0527%24 Jul →
nuke9–130.0314%23 Jul →
nuke13–20.1721%23 Jul →
mirage13–40.1928%21 Jul →
nuke13–30.1132%21 Jul →
anubis13–20.0123%21 Jul →
mirage13–1-0.0017%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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