c

c — CS2 Stats

DE76561198062174971[U:1:101909243]Steam profile ↗✓ No bans

2,344Tracked matches64%Win rate2021Tracked since
21,221Hours in CS
CSDB Rating7.8 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,344 tracked matches. Play, then come back: the next observation lands here.

Rating over time

19,597Peak Premier in tracked matches
2,001Highest Faceit ELO seen on CSDB
47Days played since 2024-10-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,218), 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 10 median
Headshot rate68.4%50.9%
Shot accuracy21.5%13.8%
Kill/death ratio1.241.09
Match win rate41.5%48.4%

Share this profile

CSDB.GGcFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,001csdb.gg/stats

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Performance scores

Aim84
Positioning64
Utility89

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateLWTWTWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · −2ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 605ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 606ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 607ms

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 (+3.7 against its own average).

Aim8.4
Utility8.9
Positioning6.4
Opening Duels5.4
Clutch0.2

Excellent counter-strafingEffective flashesHigh utility contribution

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, opening-duel success.

Where you differ: higher utility contribution.

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

Utility. Utility score of 89 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.4
Positioning6.4
Utility8.9
Mechanics8.7
Opening Duels4.2
Win Impact9.8

Composite 7.8/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time594ms−35ms
first ⅓ avg 629ms → last ⅓ avg 594ms
Headshot accuracy21.6%−3.6%
first ⅓ avg 25.2% → last ⅓ avg 21.6%

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

0.18Best match rating · 13–4 · ancient, 13 Nov →
54%Best headshot accuracy · 7–13 · dust2, 12 Mar →
391msFastest reaction time · 13–7 · anubis, 30 Jan →
13–1Biggest win · dust2, 20 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.01
anubisC166–1038%0.01
ancientB158–753%0.05
dust2C146–843%0.01
nukeS129–375%0.04
mirageC104–640%0.04
overpassS54–180%0.07
trainA53–260%0.04
grail—11–0100%0.03
edin—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

372,933Lifetime kills
1.24K/D · Top 25% of Level 10 players
6,124Matches
41.5%Match win rate
68.4%Headshot % · Top 5% of Level 10 players
21.5%Shot accuracy · Top 5% of Level 10 players
15,774MVPs
21,221Hours (in match)
4,727Bombs planted
1,341Bombs defused

Most-used weapons

AK-47178,710
AWP14,019
Knife4,391
FAMAS3,689
MP92,812

Lifetime map wins

12,375inferno
11,693dust2
4,899nuke
4,391vertigo
1,115train
300cbble
250office
93italy

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

Faceit stats

Combat

1,633Matches
52%Win rate
1.20Avg K/D
82.5ADR
46%Headshot %

Clutches & streaks

21%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3158%1.1717.8
Ancient3040%0.9914.4
Anubis2638%1.1216.7
Nuke1947%1.1918.7
Mirage1346%1.0418.4
Dust21070%1.0616.0
Vertigo933%1.3117.3
Overpass743%1.0614.9

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.

22.0%Headshot accuracy
38.8%Accuracy (enemy spotted)
38.6%Spray accuracy
89.0%Counter-strafing
10.0°Preaim
590msReaction time
38.6%T opening success
55.4%CT opening success
0.73Enemies flashed / flash
11.9%Flash assists
17.58HE damage / grenade
9.88Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.5609% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–100.0117%17 May →
inferno13–70.0113%8 May →
anubis12–120.0616%8 May →
grail13–80.0326%8 May →
inferno12–12-0.0215%4 May →
inferno13–60.0225%23 Apr →
anubis13–30.0115%23 Apr →
nuke13–40.0333%23 Apr →
nuke13–30.0433%7 Apr →
anubis13–60.0525%2 Apr →
ancient13–50.0736%1 Apr →
dust28–13-0.0025%1 Apr →
nuke16–140.0821%1 Apr →
anubis13–50.0720%1 Apr →
anubis11–130.0026%1 Apr →
dust210–13-0.0221%31 Mar →
ancient13–30.0312%24 Mar →
overpass13–60.0624%21 Mar →
mirage9–130.0924%21 Mar →
anubis7–13-0.0222%21 Mar →
inferno10–130.0531%21 Mar →
mirage13–100.0412%21 Mar →
anubis7–130.0421%21 Mar →
inferno13–100.0127%20 Mar →
mirage13–100.1119%20 Mar →
ancient13–9-0.0024%20 Mar →
dust24–00.0212%20 Mar →
ancient13–160.0219%17 Mar →
inferno8–13-0.0717%17 Mar →
ancient13–80.0223%17 Mar →
nuke9–10.1525%16 Mar →
anubis4–130.0321%15 Mar →
overpass12–120.0213%15 Mar →
train5–130.0538%13 Mar →
inferno13–50.1431%13 Mar →
dust27–130.0354%12 Mar →
mirage13–4-0.0022%12 Mar →
anubis13–3-0.0227%10 Mar →
overpass13–60.0220%8 Mar →
inferno13–110.0116%8 Mar →
ancient9–130.0328%8 Mar →
anubis8–13-0.0522%7 Mar →
inferno10–130.0523%7 Mar →
overpass13–60.1625%7 Mar →
mirage7–130.0023%7 Mar →
dust211–130.0235%7 Mar →
ancient13–50.0924%6 Mar →
dust213–80.0212%27 Feb →
inferno13–10-0.0227%27 Feb →
dust24–13-0.0218%27 Feb →
dust23–130.0436%27 Feb →
anubis10–13-0.0314%20 Feb →
mirage5–13-0.0140%20 Feb →
dust213–10.0250%20 Feb →
inferno17–190.0221%19 Feb →
nuke13–9-0.0223%19 Feb →
inferno11–13-0.0120%10 Feb →
nuke11–130.0230%9 Feb →
mirage12–120.0234%30 Jan →
anubis13–70.1223%30 Jan →
inferno5–13-0.0216%30 Jan →
nuke13–90.0839%28 Jan →
ancient13–70.0842%28 Jan →
mirage13–110.1022%28 Jan →
dust213–9-0.0028%27 Jan →
nuke13–90.0338%26 Jan →
inferno13–90.0829%26 Jan →
dust213–70.0034%23 Jan →
inferno13–70.1032%15 Jan →
ancient8–130.0229%15 Jan →
nuke13–50.0222%15 Jan →
anubis2–13-0.0815%15 Jan →
nuke13–80.0436%13 Jan →
overpass13–80.0923%13 Jan →
ancient9–130.0027%13 Jan →
ancient13–50.0913%8 Jan →
train4–130.0434%8 Jan →
anubis13–60.0436%8 Jan →
inferno7–13-0.0322%18 Dec →
inferno13–5-0.0216%16 Dec →
dust210–130.0129%16 Dec →
anubis11–13-0.0128%6 Dec →
mirage13–160.0017%19 Nov →
inferno19–15-0.0337%17 Nov →
nuke2–13-0.0416%17 Nov →
train13–80.0426%16 Nov →
edin13–60.0941%14 Nov →
train13–30.0432%14 Nov →
train13–60.0425%14 Nov →
mirage10–130.0724%13 Nov →
ancient13–40.1835%13 Nov →
inferno7–13-0.0221%29 Oct →
dust213–70.0218%24 Oct →
dust211–13-0.0526%16 Oct →
ancient6–130.0019%16 Oct →
nuke10–130.0127%16 Oct →
ancient8–130.0216%16 Oct →
inferno13–11-0.0119%13 Oct →
anubis10–13-0.0322%8 Oct →
ancient11–130.0214%7 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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