Leeptote

Leeptote — CS2 Stats

FO76561199321774973[U:1:1361509245]Steam profile ↗✓ No bans

979Tracked matches55%Win rate2022Tracked since
1,126Hours in CS36Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating14,560Blue band · top ~30.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−387Premier CS Rating · 14,947 → 14,560

Rating over time

Premier CS Rating: 14,560 +238 31 Jul – 3 Oct · 27 days played
12,17215,117peak 15,11731 Jul3 Oct
15,117Peak Premier in tracked matches
34Days played since 2026-07-30

Premier CS Rating

  • 557 below peak (15,117)
  • +105 over 30 days · steady
  • Next: Purple band at 15,000 — 440 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches73——
Win rate49%——
K/D2.13——
Headshot %67%——

Measured 3 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate49.5%42.7%43.8%above
Shot accuracy5.6%11.3%12.0%6.4% short
Kill/death ratio0.890.991.020.13 short
Match win rate40.6%43.9%44.7%4.1% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLeeptoteFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,560 · Blue bandcsdb.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

Aim79
Positioning64
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWLLWWWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +0.8pp headshot accuracy · +67ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 634ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.9
Utility6.9
Positioning6.4
Opening Duels3.4
Clutch3.2

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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim7.9
Positioning6.4
Utility6.9
Mechanics8.3
Opening Duels5.1
Win Impact6.7

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time599ms−8ms
first ⅓ avg 608ms → last ⅓ avg 599ms
Headshot accuracy17.8%+4.4%
first ⅓ avg 13.4% → last ⅓ avg 17.8%

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

0.13Best match rating · 13–4 · dust2, 26 Aug →
32%Best headshot accuracy · 13–9 · dust2, 22 Sept →
406msFastest reaction time · 13–9 · nuke, 27 Aug →
13–0Biggest win · mirage, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 69% over 16anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC218–1338%-0.01
dust2S1611–569%0.01
cacheB137–654%-0.03
ancientB136–746%-0.03
anubisD123–925%-0.00
mirageS128–467%0.01
infernoD113–827%-0.01
train—11–0100%0.07
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,950Lifetime kills
0.89K/D
1,397Matches
40.6%Match win rate
49.5%Headshot % · Top 25% of Level 4 players
5.6%Shot accuracy
2,272MVPs
630Hours (in match)
913Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

1,834dust2
1,610nuke
1,173inferno
502vertigo
138train
27office
10ar_shoots
6lake

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

Faceit stats

Combat

163Matches
48%Win rate
0.92Avg K/D
79.0ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4349%0.8712.7
Dust23231%0.8414.0
Nuke2365%1.1618.1
Ancient1735%0.7011.8
Anubis1362%1.2017.7
Cache1258%1.0814.4
Inferno1127%0.7411.6
Vertigo1070%0.8512.9

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.

17.0%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.9%Spray accuracy
87.4%Counter-strafing
10.0°Preaim
593msReaction time
60.5%T opening success
40.4%CT opening success
0.69Enemies flashed / flash
6.0%Flash assists
11.53HE damage / grenade
13.47Flashes / match

Recommended for you

Spend your practice time on Anubis

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–160.0415%3 Oct →
mirage13–9-0.0221%3 Oct →
nuke10–130.0517%3 Oct →
nuke2–13-0.0515%3 Oct →
nuke13–50.0913%1 Oct →
dust213–4-0.0215%1 Oct →
inferno13–50.1028%1 Oct →
cache13–40.0217%1 Oct →
dust213–80.0825%26 Sept →
anubis6–130.0013%26 Sept →
nuke13–20.0619%26 Sept →
mirage13–50.0424%26 Sept →
ancient13–3-0.0529%26 Sept →
cache10–13-0.0413%26 Sept →
dust213–110.0210%26 Sept →
dust213–110.0025%26 Sept →
mirage13–0-0.1010%26 Sept →
mirage3–130.0210%26 Sept →
inferno5–13-0.0110%23 Sept →
nuke9–130.0020%23 Sept →
ancient10–13-0.0226%22 Sept →
nuke16–140.0521%22 Sept →
dust213–9-0.0132%22 Sept →
ancient6–13-0.0013%21 Sept →
inferno8–13-0.0810%21 Sept →
mirage13–90.1217%21 Sept →
mirage3–13-0.0915%20 Sept →
ancient16–19-0.0111%19 Sept →
anubis13–7-0.017%17 Sept →
nuke15–15-0.0511%17 Sept →
inferno13–80.0332%17 Sept →
dust212–120.0523%16 Sept →
nuke9–13-0.0522%16 Sept →
train13–70.0723%16 Sept →
cache10–13-0.0016%11 Sept →
anubis10–13-0.0114%11 Sept →
nuke8–13-0.0315%11 Sept →
inferno8–130.0414%11 Sept →
mirage13–5-0.0215%11 Sept →
cache11–13-0.0019%9 Sept →
nuke13–8-0.0026%8 Sept →
overpass13–9-0.0311%8 Sept →
cache3–13-0.0418%5 Sept →
nuke5–130.0110%5 Sept →
anubis4–13-0.0013%5 Sept →
cache16–130.0113%5 Sept →
inferno8–13-0.0614%5 Sept →
ancient6–130.0312%5 Sept →
mirage13–10.1127%5 Sept →
cache6–13-0.0318%4 Sept →
mirage13–40.1030%4 Sept →
nuke6–13-0.087%4 Sept →
nuke13–100.006%2 Sept →
ancient2–13-0.079%1 Sept →
dust211–130.0415%1 Sept →
mirage8–13-0.0526%29 Aug →
ancient16–120.0020%27 Aug →
dust213–10-0.0021%27 Aug →
mirage13–50.0312%27 Aug →
nuke13–9-0.0317%27 Aug →
cache13–16-0.0714%27 Aug →
ancient13–9-0.092%26 Aug →
cache13–11-0.019%26 Aug →
dust213–40.1318%26 Aug →
anubis2–13-0.097%26 Aug →
dust213–90.0818%26 Aug →
cache16–14-0.0711%24 Aug →
ancient13–11-0.0311%23 Aug →
anubis13–110.0411%23 Aug →
cache13–9-0.0412%23 Aug →
dust213–20.0013%23 Aug →
mirage5–13-0.0116%23 Aug →
anubis4–130.0915%22 Aug →
inferno8–130.0121%22 Aug →
nuke3–130.0325%19 Aug →
nuke9–13-0.0217%16 Aug →
inferno13–5-0.0213%16 Aug →
cache13–2-0.1110%16 Aug →
nuke9–13-0.057%8 Aug →
ancient10–13-0.0312%7 Aug →
anubis10–13-0.048%7 Aug →
inferno8–13-0.0418%5 Aug →
anubis10–13-0.069%5 Aug →
dust213–9-0.0613%5 Aug →
inferno7–9-0.1010%5 Aug →
dust28–13-0.0225%5 Aug →
ancient13–80.017%5 Aug →
nuke13–9-0.066%4 Aug →
dust216–12-0.047%3 Aug →
nuke13–60.0218%3 Aug →
anubis15–15-0.0015%2 Aug →
cache13–10-0.009%2 Aug →
dust211–13-0.0116%2 Aug →
nuke11–13-0.0312%2 Aug →
dust211–13-0.0515%1 Aug →
ancient13–9-0.0415%1 Aug →
ancient11–13-0.0724%1 Aug →
inferno9–130.0510%31 Jul →
anubis13–110.0412%30 Jul →
nuke8–13-0.0411%30 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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