Lefa

Lefa — CS2 Stats

FI76561198063145223[U:1:102879495]Steam profile ↗✓ No bans

1,825Tracked matches68%Win rate2020Tracked since
3,502Hours in CS26Hrs last 2 wks
CSDB Rating8.1 StrongPositional Player
Premier CS Rating26,063Top 10% of 197,133 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12218 of 244242 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 22 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 26,063 +1,064 22 Jul – 24 Sept · 15 days played
23,62426,063peak 26,06322 Jul24 Sept
26,063Peak Premier in tracked matches
29Days played since 2026-07-22

Premier CS Rating

  • At peak — 26,063
  • Next: Gold band at 30,000 — 3,937 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple 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.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate42.6%49.2%50.5%7.9% short
Shot accuracy13.2%13.3%12.0%above
Kill/death ratio1.231.121.18above
Match win rate57.9%48.5%51.9%above

This profile matches the typical Gold band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLefaPREMIER26,063 · Red bandcsdb.gg/stats

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Performance scores

Aim91
Positioning73
Utility46

0–100 skill scores via Leetify.

Recent form

HOT55–37–8Last 10055%Win rateWWWWTWWWLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · +63ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 529ms

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 (+1.5 against its own average).

Aim9.1
Utility4.6
Positioning7.3
Opening Duels5.2
Clutch6.0

Sharp aimer

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 65% 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 65% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim9.1
Positioning7.3
Utility4.6
Mechanics8.1
Opening Duels6.5
Win Impact10.0

Composite 8.1/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time503ms+3ms
first ⅓ avg 500ms → last ⅓ avg 503ms
Headshot accuracy15.8%+1.8%
first ⅓ avg 14.0% → last ⅓ avg 15.8%

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

0.20Best match rating · 9–3 · inferno, 17 Aug →
50%Best headshot accuracy · 13–2 · mirage, 23 Jul →
328msFastest reaction time · 0–13 · mirage, 14 Sept →
13–0Biggest win · mirage, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
10–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%0.01
cacheA159–660%0.05
dust2S128–467%0.03
ancientA116–555%0.04
infernoS107–370%0.03
anubisA74–357%0.03
nukeS54–180%0.04
vertigo—42–250%0.04
office—41–325%0.08
train—31–233%-0.03
shelter—10–10%0.00
italy—11–0100%0.07
overpass—11–0100%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,814Lifetime kills
1.23K/D · Top 50% of Red band
4,202Matches
57.9%Match win rate · Top 10% of Red band
42.6%Headshot %
13.2%Shot accuracy
17,699MVPs
2,131Hours (in match)
4,285Bombs planted
1,166Bombs defused

Most-used weapons

AK-4732,722
AWP14,092
MP91,571
FAMAS1,445
M2491,288

Lifetime map wins

5,269inferno
4,343dust2
3,166nuke
1,942office
1,857train
1,271vertigo
236cbble
94italy

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

Faceit stats

Combat

44Matches
68%Win rate
1.52Avg K/D
111.4ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
35%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage978%1.7119.1
Anubis771%1.8120.3
Nuke540%1.4821.0
Ancient580%2.0423.6
Cache3100%2.1316.7
Dust23100%1.6319.0
Inferno1100%2.3321.0

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.

15.4%Headshot accuracy
39.2%Accuracy (enemy spotted)
41.1%Spray accuracy
86.4%Counter-strafing
6.3°Preaim
504msReaction time
65.1%T opening success
47.1%CT opening success
0.54Enemies flashed / flash
11.6%Flash assists
4.27HE damage / grenade
6.04Flashes / match

Recommended for you

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.

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0918%25 Sept →
anubis13–60.1612%24 Sept →
mirage13–00.1515%24 Sept →
vertigo13–50.0724%24 Sept →
vertigo12–12-0.0120%24 Sept →
nuke13–70.0818%22 Sept →
ancient22–180.029%21 Sept →
cache13–00.0413%21 Sept →
mirage1–13-0.066%21 Sept →
dust213–10.0523%21 Sept →
ancient13–00.049%21 Sept →
ancient8–130.048%20 Sept →
dust213–50.1417%20 Sept →
mirage13–70.0613%20 Sept →
mirage10–13-0.0023%20 Sept →
cache13–70.0824%20 Sept →
mirage15–15-0.004%20 Sept →
ancient13–80.1421%19 Sept →
dust216–120.0714%19 Sept →
cache13–20.0524%17 Sept →
anubis6–130.0213%17 Sept →
anubis9–130.0110%16 Sept →
ancient5–3-0.077%15 Sept →
inferno6–13-0.110%15 Sept →
anubis5–30.0022%15 Sept →
dust213–100.1316%15 Sept →
mirage3–13-0.0629%14 Sept →
mirage0–13-0.0240%14 Sept →
cache4–130.0622%14 Sept →
dust216–140.0411%13 Sept →
ancient9–130.0114%13 Sept →
inferno9–40.0213%13 Sept →
cache3–13-0.0612%13 Sept →
ancient13–30.1114%13 Sept →
mirage8–130.0919%13 Sept →
inferno13–80.0316%13 Sept →
cache13–10.1313%12 Sept →
inferno13–70.057%9 Sept →
dust22–13-0.0718%9 Sept →
nuke13–80.1115%9 Sept →
ancient13–110.0721%9 Sept →
office12–120.1125%2 Sept →
office13–100.1431%2 Sept →
cache13–70.0619%1 Sept →
inferno9–70.0416%30 Aug →
mirage13–90.0419%29 Aug →
cache13–110.037%29 Aug →
cache12–120.0417%29 Aug →
mirage13–60.1024%20 Aug →
train10–130.063%17 Aug →
train0–5-0.0714%17 Aug →
inferno9–30.2014%17 Aug →
nuke13–40.0114%17 Aug →
mirage3–11-0.1115%17 Aug →
mirage2–13-0.070%17 Aug →
train13–7-0.0913%16 Aug →
cache13–70.0511%2 Aug →
mirage13–11-0.0412%30 Jul →
cache11–130.0614%30 Jul →
mirage13–80.048%30 Jul →
mirage11–13-0.0214%30 Jul →
mirage8–130.0120%30 Jul →
nuke8–130.039%30 Jul →
mirage7–130.0726%29 Jul →
vertigo13–110.0110%29 Jul →
inferno8–80.0512%29 Jul →
vertigo8–130.0813%29 Jul →
ancient11–130.0717%27 Jul →
cache5–130.0321%26 Jul →
office8–130.0914%26 Jul →
dust215–150.0422%25 Jul →
inferno13–10-0.057%25 Jul →
mirage11–130.0510%25 Jul →
mirage13–110.0319%25 Jul →
cache13–60.0612%25 Jul →
office10–13-0.0018%24 Jul →
inferno13–90.055%24 Jul →
dust213–60.0720%24 Jul →
cache13–10.1710%24 Jul →
nuke13–8-0.0511%24 Jul →
mirage9–130.0418%24 Jul →
dust21–13-0.150%24 Jul →
dust22–13-0.070%24 Jul →
mirage13–20.0712%24 Jul →
mirage4–2-0.0114%24 Jul →
shelter5–130.0012%24 Jul →
italy13–100.0712%24 Jul →
overpass13–00.1217%24 Jul →
dust213–10.0118%23 Jul →
mirage13–4-0.0114%23 Jul →
ancient5–13-0.030%23 Jul →
mirage13–2-0.0450%23 Jul →
inferno0–2-0.000%23 Jul →
mirage12–120.0615%23 Jul →
ancient4–130.0517%23 Jul →
anubis12–120.0511%23 Jul →
anubis13–9-0.049%22 Jul →
cache9–13-0.059%22 Jul →
mirage1–130.0033%22 Jul →
anubis13–9-0.0216%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →