[-DWH-]Vodka-Lemon

[-DWH-]Vodka-Lemon — CS2 Stats

AT76561199768554528[U:1:1808288800]Steam profile ↗✓ No bans

1,175Tracked matches46%Win rate2024Tracked since
CSDB Rating3.5 LearningPositional Player
Premier CS Rating6,582Light Blue band · top ~71.2% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 6,582 +2,186 17 Aug – 30 Oct · 26 days played
4,3967,532peak 7,53217 Aug30 Oct
7,871Peak Premier in tracked matches
32Days played since 2026-08-17

Premier CS Rating

  • 950 below peak (7,532)
  • +1,939 over 30 days · improving
  • Next: Blue band at 10,000 — 3,418 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-10-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG[-DWH-]Vodka-LemonPREMIER6,582 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning45
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLLWLLTLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −2ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 648ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 623ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 624ms

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).

Aim4.2
Utility3.6
Positioning4.5
Opening Duels1.3

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

NiKo

Plays most like NiKo 78% 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. 635ms 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

Aim4.2
Positioning4.5
Utility3.6
Mechanics5.1
Opening Duels0.9
Win Impact3.8

Composite 3.5/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time632ms−18ms
first ⅓ avg 650ms → last ⅓ avg 632ms
Headshot accuracy10.3%−0.7%
first ⅓ avg 11.0% → last ⅓ avg 10.3%

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

0.16Best match rating · 9–4 · eldorado, 24 Aug →
29%Best headshot accuracy · 5–8 · rush_001, 2 Oct →
484msFastest reaction time · 13–8 · inferno, 15 Oct →
13–0Biggest win · office, 2 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 63% over 16mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1610–663%-0.01
cacheC146–843%-0.01
anubisB136–746%-0.03
dust2A127–558%-0.01
nukeB115–645%-0.03
mirageC104–640%-0.03
ancientC94–544%-0.01
officeA53–260%-0.00
eldorado—33–0100%0.12
train—31–233%-0.03
italy—11–0100%-0.03
vertigo—10–10%-0.12
rush_001—10–10%-0.04
poseidon—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.4%Spray accuracy
73.0%Counter-strafing
10.7°Preaim
635msReaction time
29.5%T opening success
37.1%CT opening success
0.34Enemies flashed / flash
5.5%Flash assists
6.69HE damage / grenade
3.48Flashes / 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 9.727% — 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 0.3441 — 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 29.4753% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0322%30 Oct →
ancient13–5-0.012%30 Oct →
inferno7–130.027%30 Oct →
nuke11–13-0.027%30 Oct →
italy13–4-0.035%29 Oct →
anubis9–13-0.057%29 Oct →
mirage10–13-0.0411%29 Oct →
office12–12-0.003%28 Oct →
office9–13-0.0213%28 Oct →
eldorado9–20.0910%28 Oct →
inferno13–40.0610%27 Oct →
mirage11–13-0.0014%23 Oct →
anubis13–50.0410%23 Oct →
dust213–8-0.0117%23 Oct →
cache13–100.0211%23 Oct →
cache8–130.0317%21 Oct →
nuke9–13-0.0812%21 Oct →
anubis3–13-0.0715%21 Oct →
nuke13–11-0.018%20 Oct →
nuke13–6-0.015%20 Oct →
inferno10–13-0.045%20 Oct →
mirage13–70.028%20 Oct →
mirage14–16-0.0414%19 Oct →
mirage5–13-0.0711%19 Oct →
ancient7–130.025%19 Oct →
dust28–13-0.0113%19 Oct →
anubis10–13-0.0311%15 Oct →
inferno13–8-0.077%15 Oct →
anubis13–10-0.045%15 Oct →
anubis15–15-0.029%14 Oct →
ancient13–10-0.056%14 Oct →
inferno13–11-0.0018%14 Oct →
vertigo0–13-0.1222%14 Oct →
dust213–9-0.0410%10 Oct →
dust213–9-0.055%10 Oct →
inferno13–40.035%8 Oct →
train9–13-0.086%8 Oct →
inferno9–40.074%8 Oct →
cache13–10.016%7 Oct →
cache13–11-0.048%7 Oct →
inferno13–6-0.0218%7 Oct →
train13–40.046%7 Oct →
cache8–13-0.077%5 Oct →
ancient13–11-0.076%5 Oct →
mirage13–100.0110%5 Oct →
cache4–13-0.054%5 Oct →
mirage11–130.006%5 Oct →
inferno13–110.038%2 Oct →
cache6–13-0.119%2 Oct →
dust24–13-0.0614%2 Oct →
rush_0015–8-0.0429%2 Oct →
cache13–80.0814%2 Oct →
dust23–13-0.0810%1 Oct →
mirage13–9-0.049%1 Oct →
cache10–13-0.0813%30 Sept →
mirage13–4-0.0721%30 Sept →
cache9–13-0.007%30 Sept →
anubis5–13-0.0611%30 Sept →
dust213–110.0112%18 Sept →
ancient8–130.0315%18 Sept →
nuke13–6-0.030%18 Sept →
anubis9–13-0.0917%18 Sept →
anubis13–2-0.0410%18 Sept →
train4–13-0.0323%17 Sept →
anubis9–13-0.008%17 Sept →
anubis13–60.0013%17 Sept →
anubis13–60.018%16 Sept →
mirage5–13-0.036%14 Sept →
dust214–160.0112%14 Sept →
ancient5–13-0.0317%12 Sept →
inferno7–130.0210%12 Sept →
nuke6–13-0.0215%12 Sept →
cache8–13-0.036%12 Sept →
nuke8–130.049%9 Sept →
inferno12–0-0.0110%9 Sept →
nuke13–9-0.0116%9 Sept →
dust213–50.1113%9 Sept →
ancient15–15-0.0017%8 Sept →
dust26–13-0.0412%8 Sept →
nuke14–160.0211%8 Sept →
inferno6–13-0.086%7 Sept →
cache13–9-0.0411%2 Sept →
ancient13–50.0411%2 Sept →
eldorado9–40.1216%2 Sept →
poseidon6–90.034%2 Sept →
inferno4–9-0.0813%2 Sept →
office8–0-0.0214%2 Sept →
office13–0-0.007%2 Sept →
cache6–130.0814%1 Sept →
inferno13–100.0117%27 Aug →
nuke13–11-0.054%27 Aug →
nuke1–9-0.205%24 Aug →
inferno5–9-0.148%24 Aug →
eldorado9–40.1616%24 Aug →
dust213–11-0.0111%24 Aug →
office13–110.035%21 Aug →
dust213–100.0314%21 Aug →
inferno13–9-0.0014%21 Aug →
cache13–80.0012%20 Aug →
ancient10–13-0.019%17 Aug →

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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