leo blanc at high noon

leo blanc at high noon — CS2 Stats

76561198059501281[U:1:99235553]Steam profile ↗✓ No bans

3,116Tracked matches41%Win rate2020Tracked since
CSDB Rating3.9 LearningPositional Player
FaceitLevel 5 · 1,185 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,185 → 1,185
+19Tracked matches · now 3,116
−2.1ppWin rate · 42.9% → 40.7%

Rating over time

Faceit ELO: 1,185 +0 3 Sept – 20 Oct · 3 observations
1,1851,185peak 1,1853 Sept20 Oct
1,185Highest Faceit ELO seen on CSDB
30Days played since 2026-09-03

Faceit ELO

  • At peak — 1,185
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 16 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-03
  • Level 4 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGleo blanc at high noonFACEITLevel 5 · 1,185 ELOSTANDINGTop 67.6% of ranked30 DAYS0 ELOPEAK ELO1,185csdb.gg/stats

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Performance scores

Aim44
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateLWLWLLLTWT

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · +21ms 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 -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 684ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 673ms

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 (+0.8 against its own average).

Aim4.4
Utility4.7
Positioning5.4
Opening Duels4.3
Clutch3.8

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

device

Plays most like device 76% 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. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.4
Utility4.7
Mechanics3.3
Opening Duels5.0
Win Impact1.9

Composite 3.9/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time648ms+35ms
first ⅓ avg 613ms → last ⅓ avg 648ms
Headshot accuracy18.7%+2.6%
first ⅓ avg 16.1% → last ⅓ avg 18.7%

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 · 13–6 · train, 18 Oct →
40%Best headshot accuracy · 6–8 · rush_001, 3 Oct →
422msFastest reaction time · 9–2 · shelter, 18 Oct →
13–2Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 50% over 8cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeC3313–2039%-0.00
cacheD134–931%-0.02
trainC83–538%0.02
ancientB84–450%-0.04
anubisC73–443%0.01
mirageB63–350%0.00
infernoC52–340%-0.04
dust2—41–325%-0.03
vertigo—41–325%-0.04
shelter—42–250%0.06
overpass—32–167%0.01
rush_001—20–20%-0.03
fachwerk—11–0100%0.02
office—11–0100%0.07
poseidon—10–10%0.09

Across the last 100 tracked matches.

Faceit stats

Combat

633Matches
48%Win rate
1.03Avg K/D
75.8ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12749%1.0115.5
Ancient11157%1.1016.1
Inferno7844%1.0014.7
Anubis6655%1.0716.1
Vertigo4846%1.0115.6
Nuke4648%1.0214.0
Dust23435%0.9415.6
Overpass2642%0.9014.0

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.

19.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
39.2%Spray accuracy
64.8%Counter-strafing
12.7°Preaim
669msReaction time
45.9%T opening success
54.2%CT opening success
0.40Enemies flashed / flash
2.7%Flash assists
5.39HE damage / grenade
9.12Flashes / 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 12.6664° — 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 0.3976 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train7–13-0.0124%1 Nov →
cache13–8-0.0316%1 Nov →
nuke5–13-0.0713%1 Nov →
nuke13–3-0.009%1 Nov →
inferno5–130.009%31 Oct →
cache11–13-0.0313%30 Oct →
cache4–13-0.0518%30 Oct →
nuke12–120.0120%29 Oct →
nuke13–110.0818%28 Oct →
nuke12–12-0.0619%28 Oct →
ancient13–11-0.0220%27 Oct →
nuke10–13-0.0531%27 Oct →
cache7–130.0510%23 Oct →
cache13–8-0.0330%22 Oct →
nuke1–5-0.030%22 Oct →
nuke5–13-0.0324%22 Oct →
nuke11–130.0324%21 Oct →
inferno4–13-0.113%21 Oct →
dust25–130.0218%21 Oct →
nuke9–13-0.0219%20 Oct →
nuke13–5-0.0324%20 Oct →
mirage4–13-0.0322%20 Oct →
nuke13–80.0718%19 Oct →
vertigo10–13-0.0421%19 Oct →
shelter10–130.0620%18 Oct →
shelter9–20.1317%18 Oct →
train13–60.1529%18 Oct →
overpass13–80.0718%17 Oct →
train12–120.0125%17 Oct →
nuke16–120.0229%17 Oct →
mirage13–90.0318%17 Oct →
mirage11–13-0.0213%17 Oct →
anubis9–13-0.0225%15 Oct →
cache8–130.0310%15 Oct →
anubis10–130.0818%15 Oct →
nuke7–13-0.0516%15 Oct →
nuke13–8-0.0026%15 Oct →
nuke14–16-0.0019%15 Oct →
dust24–13-0.0516%14 Oct →
cache1–13-0.0413%12 Oct →
fachwerk13–30.0223%11 Oct →
shelter13–50.0738%11 Oct →
train11–130.0225%11 Oct →
anubis7–13-0.0321%11 Oct →
cache2–13-0.0924%11 Oct →
train10–130.0516%9 Oct →
train13–9-0.0016%9 Oct →
shelter12–12-0.0312%9 Oct →
nuke13–30.0720%9 Oct →
rush_0013–70.0718%9 Oct →
anubis13–80.0629%8 Oct →
nuke12–12-0.0431%7 Oct →
nuke13–2-0.0328%7 Oct →
ancient0–13-0.103%6 Oct →
nuke10–13-0.0811%6 Oct →
nuke7–130.0528%6 Oct →
nuke11–13-0.0419%5 Oct →
ancient13–6-0.0619%5 Oct →
nuke2–130.0221%3 Oct →
nuke13–40.0217%3 Oct →
rush_0016–8-0.1340%3 Oct →
inferno11–5-0.0212%27 Sept →
ancient13–10-0.0611%27 Sept →
dust213–9-0.0117%27 Sept →
mirage5–13-0.109%25 Sept →
nuke1–13-0.0721%25 Sept →
cache13–40.037%25 Sept →
nuke13–20.0814%25 Sept →
office13–80.0712%24 Sept →
overpass9–13-0.0520%24 Sept →
vertigo13–7-0.0313%24 Sept →
nuke6–13-0.0812%24 Sept →
nuke13–80.0225%24 Sept →
ancient1–13-0.0615%24 Sept →
dust26–13-0.0624%24 Sept →
poseidon8–80.0915%24 Sept →
inferno10–13-0.026%23 Sept →
ancient10–13-0.0610%22 Sept →
anubis9–13-0.0910%22 Sept →
cache13–80.029%22 Sept →
vertigo9–13-0.0424%22 Sept →
mirage13–20.1227%22 Sept →
train13–3-0.0510%22 Sept →
cache6–13-0.058%22 Sept →
cache6–13-0.0414%22 Sept →
vertigo3–13-0.0425%22 Sept →
cache9–130.0015%21 Sept →
overpass13–20.0013%21 Sept →
train10–130.0324%21 Sept →
nuke13–3-0.0327%21 Sept →
anubis13–5-0.0113%21 Sept →
mirage13–90.0318%21 Sept →
ancient13–3-0.0020%21 Sept →
inferno13–5-0.059%21 Sept →
nuke12–12-0.0328%21 Sept →
nuke5–120.0012%21 Sept →
nuke8–130.0418%21 Sept →
nuke13–100.1016%21 Sept →
anubis13–50.0513%20 Sept →
ancient9–130.0211%20 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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