Eevee

Eevee — CS2 Stats

SE76561198127769518[U:1:167503790]Steam profile ↗✓ No bans

1,896Tracked matches35%Win rate2020Tracked since
9,165Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+28Tracked matches · now 1,896
−2.4ppWin rate · 37.0% → 34.6%

Rating over time

Premier CS Rating: 19,612 -1,454 18 Jun – 5 Jul · 3 days played
19,61221,791peak 21,79118 Jun5 Jul
21,796Peak Premier in tracked matches
38Days played since 2026-06-18

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

Performance scores

Aim65
Positioning67
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY40–48–12Last 10040%Win rateLWWLLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.9pp headshot accuracy · −30ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 560ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

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 against its own average).

Aim6.5
Utility5.3
Positioning6.7
Opening Duels4.8
Clutch6.0

Effective flashesLimited 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 84% 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. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 569ms 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

Aim6.5
Positioning6.7
Utility5.3
Mechanics5.1
Opening Duels6.5
Win Impact0.0

Composite 5.5/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time567ms−50ms
first ⅓ avg 617ms → last ⅓ avg 567ms
Headshot accuracy12.9%+0.6%
first ⅓ avg 12.3% → last ⅓ avg 12.9%

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

0.15Best match rating · 8–0 · dust2, 17 Aug →
24%Best headshot accuracy · 12–12 · inferno, 4 Jul →
414msFastest reaction time · 8–0 · dust2, 17 Aug →
13–1Biggest win · inferno, 13 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

vertigoBest map · 63% over 8mirageWeakest map · 24% over 29
MapGradePlayedRecordWin rateAvg rating
mirageD297–2224%0.02
dust2D247–1729%0.02
infernoD185–1328%0.03
vertigoA85–363%0.07
cacheB84–450%-0.01
anubis—44–0100%0.02
ancient—44–0100%0.05
nuke—32–167%0.04
overpass—11–0100%0.02
train—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (24% over 29). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,445Lifetime kills
1.19K/D · Top 25% of tracked players
6,720Matches
49.0%Match win rate · Top 25% of tracked players
36.7%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
21,413MVPs
2,499Hours (in match)
6,667Bombs planted
2,210Bombs defused

Most-used weapons

AK-4735,985
AWP16,333
P9011,274
P2507,223
MAC-106,852
Tec-95,355

Lifetime map wins

16,531inferno
8,542dust2
6,396cbble
2,591vertigo
2,064nuke
1,826train
634lake
368office

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

Faceit stats

Combat

13Matches
62%Win rate
1.16Avg K/D
92.3ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%1.2718.5
Mirage250%0.8214.0

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.

13.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.3%Spray accuracy
73.0%Counter-strafing
9.3°Preaim
569msReaction time
63.8%T opening success
47.9%CT opening success
0.72Enemies flashed / flash
3.3%Flash assists
14.16HE damage / grenade
2.59Flashes / 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 12.9838% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5863 — below the 4 mark we flag

    Grenade Lineups →
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.

24% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.018%13 Oct →
anubis13–50.0614%9 Oct →
mirage13–30.0812%9 Oct →
inferno6–130.0421%9 Oct →
dust29–130.0114%9 Oct →
anubis13–10-0.069%4 Oct →
vertigo13–70.0710%30 Sept →
cache8–13-0.047%30 Sept →
mirage4–130.0110%30 Sept →
dust26–13-0.018%30 Sept →
inferno12–120.0514%24 Sept →
inferno12–12-0.0213%24 Sept →
mirage12–120.0312%24 Sept →
mirage11–13-0.0118%22 Sept →
dust28–130.0121%22 Sept →
inferno5–130.0616%21 Sept →
dust213–50.1113%20 Sept →
mirage5–13-0.0011%19 Sept →
mirage13–40.0312%13 Sept →
anubis13–30.0413%13 Sept →
nuke11–130.0718%13 Sept →
inferno13–10.0723%13 Sept →
dust22–13-0.087%12 Sept →
mirage11–130.004%10 Sept →
dust26–13-0.0110%10 Sept →
mirage6–13-0.0111%10 Sept →
inferno12–12-0.0117%10 Sept →
dust28–130.009%3 Sept →
cache11–13-0.0622%31 Aug →
mirage13–10.0110%31 Aug →
inferno5–13-0.0317%31 Aug →
dust215–150.0110%31 Aug →
dust213–50.0713%31 Aug →
mirage3–13-0.0319%29 Aug →
dust213–20.1118%29 Aug →
mirage2–13-0.0710%26 Aug →
ancient13–90.0116%26 Aug →
mirage13–160.0710%24 Aug →
dust27–130.0720%24 Aug →
inferno13–40.1116%21 Aug →
mirage6–130.0211%21 Aug →
vertigo12–120.1118%21 Aug →
dust24–13-0.0614%21 Aug →
mirage11–13-0.0216%20 Aug →
inferno13–10-0.0114%20 Aug →
mirage10–130.0110%17 Aug →
cache6–13-0.0411%17 Aug →
vertigo13–110.1419%17 Aug →
cache5–13-0.0419%17 Aug →
dust28–00.1519%17 Aug →
mirage10–130.068%12 Aug →
vertigo12–120.0515%12 Aug →
vertigo5–9-0.018%31 Jul →
inferno8–80.1121%31 Jul →
dust25–13-0.049%31 Jul →
nuke13–20.0619%29 Jul →
mirage5–13-0.0114%29 Jul →
dust28–130.0220%26 Jul →
inferno12–16-0.0414%25 Jul →
mirage16–130.0512%25 Jul →
mirage13–4-0.0113%25 Jul →
ancient13–30.096%25 Jul →
dust29–130.0414%24 Jul →
mirage4–130.015%17 Jul →
vertigo13–20.1118%17 Jul →
inferno13–90.0815%16 Jul →
dust25–130.0323%16 Jul →
cache13–5-0.0211%15 Jul →
dust26–13-0.0317%15 Jul →
mirage8–13-0.018%8 Jul →
dust26–20.1313%8 Jul →
anubis13–100.0312%8 Jul →
dust29–13-0.0413%7 Jul →
cache13–80.0415%7 Jul →
nuke13–8-0.0114%5 Jul →
dust22–13-0.017%5 Jul →
dust22–13-0.0512%5 Jul →
mirage11–130.039%5 Jul →
inferno9–130.058%5 Jul →
mirage9–130.0813%5 Jul →
ancient13–11-0.0013%4 Jul →
vertigo13–40.0511%4 Jul →
inferno12–120.0224%4 Jul →
mirage13–40.0921%4 Jul →
mirage13–80.0219%30 Jun →
dust213–30.0313%30 Jun →
ancient13–90.0910%24 Jun →
inferno9–130.1022%24 Jun →
mirage3–130.1013%24 Jun →
inferno13–7-0.035%24 Jun →
overpass13–50.0219%24 Jun →
vertigo13–90.0417%23 Jun →
train13–70.019%23 Jun →
cache7–30.063%23 Jun →
cache13–50.006%21 Jun →
mirage12–120.069%21 Jun →
inferno12–120.0511%21 Jun →
dust213–20.068%21 Jun →
mirage15–150.0411%18 Jun →
mirage6–13-0.0112%18 Jun →

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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