热狗

热狗 — CS2 Stats

76561198296082115[U:1:335816387]Steam profile ↗✓ No bans

1,007Tracked matches58%Win rate2020Tracked since
2,353Hours in CS10Hrs last 2 wks
CSDB Rating4.1 DevelopingClutch Specialist
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

+113Tracked matches · now 1,007
+20.6ppWin rate · 37.0% → 57.7%

Rating over time

33Days played since 2026-09-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate43.0%45.7%46.8%3.8% short
Shot accuracy17.7%12.7%13.0%above
Kill/death ratio0.921.051.060.14 short
Match win rate46.7%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG热狗FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning40
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY37–54–9Last 10037%Win rateLTLLWLLWWW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +5.1pp headshot accuracy · −137ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 29%
  • Avg reaction 555ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 635ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim4.4
Utility1.9
Positioning4.0
Opening Duels0.6
Clutch4.8

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

jL

Plays most like jL 87% 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. 622ms 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

Aim4.4
Positioning4.0
Utility1.9
Mechanics5.4
Opening Duels1.7
Win Impact7.6

Composite 4.1/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time621ms+21ms
first ⅓ avg 599ms → last ⅓ avg 621ms
Headshot accuracy18.9%+0.2%
first ⅓ avg 18.7% → last ⅓ avg 18.9%

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

0.09Best match rating · 13–8 · ancient, 10 Sept →
56%Best headshot accuracy · 2–13 · cache, 15 Sept →
367msFastest reaction time · 7–13 · dust2, 11 Oct →
13–4Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 5officeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%-0.03
dust2B209–1145%-0.03
nukeD165–1131%-0.06
vertigoD92–722%-0.03
ancientD61–517%-0.03
cacheB63–350%-0.05
officeD50–50%-0.03
infernoA53–260%-0.04
anubis—31–233%-0.03
overpass—21–150%-0.02
debris—11–0100%-0.05
italy—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

53,496Lifetime kills
0.92K/D
3,361Matches
46.7%Match win rate · Top 50% of Level 7 players
43.0%Headshot %
17.7%Shot accuracy · Top 25% of Level 7 players
8,528MVPs
1,299Hours (in match)
2,809Bombs planted
605Bombs defused

Most-used weapons

AK-4717,323
AWP5,597
FAMAS1,529
SSG 081,062
Knife922

Lifetime map wins

5,006dust2
3,496inferno
1,821nuke
1,268vertigo
1,238train
951lake
414office
371cbble

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

Faceit stats

Combat

572Matches
51%Win rate
1.13Avg K/D
90.7ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3749%1.1218.4
Ancient2850%1.1615.1
Anubis2564%1.1014.9
Dust21656%1.2217.9
Inferno1233%1.1917.5
Nuke944%1.3017.8
Vertigo862%1.0617.6
Cache838%1.0117.6

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.

19.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
31.1%Spray accuracy
74.3%Counter-strafing
13.6°Preaim
622msReaction time
43.3%T opening success
28.9%CT opening success
0.39Enemies flashed / flash
1.8%Flash assists
6.66HE damage / grenade
2.62Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.584° — above the 12° 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 0.3876 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office2–9-0.0437%4 Nov →
office12–120.0430%4 Nov →
office10–13-0.0426%2 Nov →
ancient9–13-0.0928%26 Oct →
cache13–11-0.0124%26 Oct →
nuke11–13-0.100%25 Oct →
dust27–13-0.0715%25 Oct →
inferno13–11-0.0515%25 Oct →
vertigo13–60.0233%24 Oct →
mirage13–7-0.0433%24 Oct →
inferno13–8-0.0815%24 Oct →
cache13–8-0.0342%23 Oct →
dust25–13-0.0927%23 Oct →
dust213–9-0.0418%23 Oct →
inferno4–13-0.0710%23 Oct →
dust213–5-0.0813%21 Oct →
cache12–12-0.0724%20 Oct →
dust25–2-0.130%20 Oct →
anubis13–70.0318%20 Oct →
nuke13–11-0.0523%20 Oct →
mirage12–12-0.0019%20 Oct →
mirage6–13-0.0518%20 Oct →
cache13–8-0.0328%20 Oct →
mirage7–13-0.1014%19 Oct →
vertigo5–13-0.058%19 Oct →
dust213–11-0.018%19 Oct →
dust213–90.019%18 Oct →
nuke9–13-0.0913%18 Oct →
mirage13–70.0217%13 Oct →
mirage12–120.0214%13 Oct →
ancient4–13-0.0514%12 Oct →
nuke13–80.0717%11 Oct →
mirage13–9-0.0614%11 Oct →
mirage10–40.0618%11 Oct →
dust27–13-0.115%11 Oct →
dust20–13-0.038%11 Oct →
overpass13–5-0.0330%11 Oct →
mirage9–13-0.069%10 Oct →
ancient2–13-0.0129%10 Oct →
vertigo11–13-0.0917%10 Oct →
nuke13–5-0.0036%10 Oct →
mirage7–13-0.1217%10 Oct →
mirage13–6-0.0425%9 Oct →
debris9–5-0.0518%9 Oct →
mirage13–100.0018%9 Oct →
cache0–13-0.0613%9 Oct →
mirage3–13-0.0714%9 Oct →
mirage13–50.0711%9 Oct →
mirage10–13-0.0216%8 Oct →
mirage9–13-0.0519%8 Oct →
dust25–130.0215%7 Oct →
mirage12–16-0.0215%7 Oct →
dust213–80.0417%6 Oct →
vertigo12–12-0.0523%5 Oct →
mirage10–13-0.0329%4 Oct →
ancient9–13-0.0218%4 Oct →
nuke10–13-0.1122%4 Oct →
dust213–11-0.0028%4 Oct →
dust24–13-0.0414%4 Oct →
office9–13-0.0519%4 Oct →
mirage9–13-0.0442%3 Oct →
vertigo10–13-0.0347%3 Oct →
office4–13-0.0821%3 Oct →
ancient5–13-0.087%2 Oct →
nuke5–13-0.0426%26 Sept →
nuke2–13-0.1319%26 Sept →
vertigo3–13-0.0611%26 Sept →
vertigo5–13-0.0216%26 Sept →
dust212–120.0317%26 Sept →
dust210–13-0.0127%26 Sept →
dust213–11-0.0323%25 Sept →
dust210–13-0.0311%24 Sept →
nuke3–13-0.100%22 Sept →
mirage7–13-0.0619%22 Sept →
nuke2–13-0.080%22 Sept →
nuke12–12-0.0220%22 Sept →
italy12–12-0.0522%18 Sept →
dust27–13-0.0434%18 Sept →
mirage10–13-0.0111%18 Sept →
inferno8–13-0.0311%18 Sept →
dust213–10-0.080%18 Sept →
nuke7–13-0.104%17 Sept →
anubis1–13-0.0518%17 Sept →
mirage13–5-0.0313%17 Sept →
mirage13–4-0.0325%17 Sept →
mirage12–12-0.0617%17 Sept →
nuke13–8-0.0030%17 Sept →
mirage13–11-0.0618%17 Sept →
nuke11–13-0.0523%16 Sept →
nuke2–6-0.0533%16 Sept →
vertigo9–13-0.0235%16 Sept →
cache2–13-0.0956%15 Sept →
nuke13–7-0.0824%14 Sept →
mirage13–80.010%14 Sept →
anubis4–13-0.0510%14 Sept →
vertigo13–110.049%10 Sept →
dust211–130.0116%10 Sept →
ancient13–80.0913%10 Sept →
inferno13–50.0526%10 Sept →
overpass6–13-0.0140%9 Sept →

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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