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Bernard⛟ iwnt — CS2 Stats

76561198054167349[U:1:93901621]✓ No bans

994Tracked matches63%Win rate2021Tracked since
4,642Hours in CS7Hrs last 2 wks
CSDB Rating6.5 SolidHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate51.6%49.0%52.0%meets
Shot accuracy18.8%13.1%13.7%above
Kill/death ratio1.501.081.08above
Match win rate54.1%46.9%48.8%above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGBernard⛟ iwntFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning71
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWWLLWLLLWW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6
Aggression9.7
Utility5.7
Positioning7.1
Opening Duels4.6
Clutch2.6

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.

Your pro match

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim6.6
Positioning7.1
Utility5.7
Mechanics5.5
Opening Duels4.6
Win Impact9.4

Composite 6.5/10 (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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time549ms−22ms
first ⅓ avg 572ms → last ⅓ avg 549ms
Headshot accuracy23.9%+0.5%
first ⅓ avg 23.4% → last ⅓ avg 23.9%

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.

Highlights

0.19Best rating — office 4–3
13–0Biggest win — mirage
6Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 80% over 5cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA3018–1260%0.02
ancientB158–753%0.03
overpassB157–847%0.02
dust2C104–640%0.03
cacheC83–538%0.02
infernoC73–443%0.04
trainS54–180%0.06
nuke—44–0100%0.01
vertigo—22–0100%0.01
anubis—22–0100%0.04
office—10–10%0.19
warden—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

188,768Lifetime kills
1.50K/D · Top 10% of Level 9 players
6,726Matches
54.1%Match win rate · Top 10% of Level 9 players
51.6%Headshot % · Top 50% of Level 9 players
18.8%Shot accuracy · Top 10% of Level 9 players
29,070MVPs
2,674Hours (in match)
10,049Bombs planted
3,646Bombs defused

Most-used weapons

AK-4764,891
M4A4 / M4A1-S33,866
Desert Eagle19,240
AWP17,652
P2000 / USP-S12,877
Glock-188,209
P2504,031
Knife2,717
Galil AR2,450
SSG 082,214

Lifetime map wins

8,130inferno
7,810dust2
6,933train
3,956nuke
3,162vertigo
2,554cbble
429office
191italy

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

Faceit stats

Combat

901Matches
52%Win rate
1.45Avg K/D
100.0ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4042%1.2618.1
Dust21457%1.3417.8
Vertigo1173%1.7120.9
Anubis1030%1.2720.8
Ancient825%1.3318.1
Inferno520%1.3519.8
Nuke333%0.9918.0
Train250%1.5017.5

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.

22.7%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.9%Spray accuracy
74.8%Counter-strafing
10.1°Preaim
544msReaction time
42.2%T opening success
54.6%CT opening success
0.68Enemies flashed / flash
11.7%Flash assists
11.01HE damage / grenade
3.44Flashes / 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. Grenades & Utility

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

    Flashes per match 3.4441 — below the 4 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0920%28 Aug →
mirage13–100.0132%28 Aug →
dust213–160.0121%28 Aug →
cache11–130.0922%14 Aug →
vertigo13–7-0.0612%7 Aug →
mirage7–130.1038%7 Aug →
cache3–130.0032%25 Jul →
cache8–13-0.0425%19 Jul →
vertigo13–40.0833%19 Jul →
nuke13–30.0827%19 Jul →
mirage13–100.0414%19 Jul →
dust29–130.1026%11 Jul →
cache7–130.0719%22 May →
ancient13–20.1224%22 May →
office4–30.1957%16 May →
mirage13–30.0721%16 May →
cache13–3-0.0522%16 May →
cache13–10-0.0122%15 May →
cache13–60.1529%12 May →
cache11–13-0.0227%9 May →
ancient13–60.1318%22 Apr →
anubis13–10-0.0117%20 Apr →
mirage9–130.0414%10 Apr →
inferno13–90.1022%8 Apr →
anubis13–20.1020%8 Apr →
inferno4–13-0.0128%6 Apr →
mirage10–00.1016%6 Apr →
overpass16–130.0521%6 Apr →
dust213–60.0513%6 Apr →
warden13–60.0414%15 Mar →
mirage8–13-0.0431%9 Jan →
overpass6–13-0.0921%31 Oct →
dust213–30.1130%31 Oct →
mirage13–100.0627%31 Oct →
ancient3–13-0.0533%4 Oct →
mirage7–13-0.0232%30 Sept →
overpass13–70.1028%23 Sept →
overpass1–13-0.0318%13 Sept →
train13–110.1131%13 Sept →
ancient4–4-0.0820%12 Sept →
overpass11–130.0425%12 Sept →
mirage13–50.0414%11 Sept →
ancient16–120.1118%11 Sept →
overpass5–130.0018%11 Sept →
dust213–110.0724%11 Sept →
mirage2–130.0112%11 Sept →
mirage9–13-0.0416%10 Sept →
mirage10–40.0616%10 Sept →
nuke13–110.0013%9 Sept →
train9–13-0.0417%9 Sept →
mirage13–10-0.039%9 Sept →
mirage8–130.1037%9 Sept →
overpass6–13-0.0518%8 Sept →
inferno13–80.0632%8 Sept →
mirage13–110.0023%8 Sept →
ancient4–13-0.0431%6 Sept →
ancient10–130.0117%5 Sept →
overpass13–20.0623%31 Aug →
ancient13–70.0124%31 Aug →
mirage13–100.0525%31 Aug →
inferno6–10-0.0135%31 Aug →
train13–60.1421%31 Aug →
mirage11–13-0.0017%31 Aug →
ancient2–130.0231%30 Aug →
dust213–110.0117%29 Aug →
mirage13–60.0223%29 Aug →
ancient13–70.0218%29 Aug →
overpass6–130.0117%29 Aug →
mirage6–13-0.0214%25 Aug →
dust211–13-0.0325%25 Aug →
overpass7–130.0521%24 Aug →
nuke13–100.0121%24 Aug →
mirage0–4-0.0125%24 Aug →
mirage13–30.0512%24 Aug →
mirage13–8-0.0122%24 Aug →
ancient13–80.0823%24 Aug →
overpass5–13-0.0024%24 Aug →
train16–140.0816%24 Aug →
mirage13–50.0224%24 Aug →
overpass13–40.0719%23 Aug →
nuke5–1-0.0525%23 Aug →
ancient11–130.0121%23 Aug →
mirage13–70.1123%22 Aug →
overpass13–10.0729%22 Aug →
ancient13–20.1131%22 Aug →
train13–110.0122%22 Aug →
mirage13–7-0.0221%22 Aug →
mirage13–0-0.0120%22 Aug →
ancient6–130.0324%22 Aug →
overpass13–110.0614%22 Aug →
inferno7–130.0725%22 Aug →
ancient13–10-0.0120%21 Aug →
inferno2–130.0033%21 Aug →
dust28–130.0230%21 Aug →
mirage9–13-0.0514%21 Aug →
mirage13–90.0233%21 Aug →
dust27–130.0127%20 Aug →
mirage11–130.0532%20 Aug →
dust22–8-0.0133%19 Aug →
overpass13–7-0.0333%19 Aug →

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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