7en5

7en5 — CS2 Stats

DK76561198388520683[U:1:428254955]Steam profile ↗✓ No bans

2,940Tracked matches38%Win rate2020Tracked since
3,559Hours in CS
CSDB Rating4.5 DevelopingSupport
CSDB Leaderboard#77924 of 259678 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,409 -1,111 19 Sept – 3 Oct · 6 days played
20,40921,952peak 21,95219 Sept3 Oct
22,590Peak Premier in tracked matches
22Days played since 2026-07-19

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.7%43.8%44.8%3.1% short
Shot accuracy13.9%12.0%12.4%above
Kill/death ratio1.001.021.030.03 short
Match win rate43.7%44.7%45.2%1.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG7en5FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateWLWWLLTTWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +3.8pp headshot accuracy · +91ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 775ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 699ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 654ms

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 (+1.7 against its own average).

Aim5.2
Utility5.9
Positioning5.2
Opening Duels1.8
Clutch3.8

Strong CT-side opener

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.2
Positioning5.2
Utility5.9
Mechanics4.0
Opening Duels2.7
Win Impact1.0

Composite 4.5/10 (Developing), 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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time642ms−56ms
first ⅓ avg 699ms → last ⅓ avg 642ms
Headshot accuracy12.5%−4.9%
first ⅓ avg 17.4% → last ⅓ avg 12.5%

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

0.26Best match rating · 9–0 · inferno, 22 Jul →
42%Best headshot accuracy · 9–4 · debris, 22 Sept →
391msFastest reaction time · 9–13 · ancient, 21 Sept →
13–2Biggest win · anubis, 2 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

debrisBest map · 67% over 6anubisWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%-0.04
infernoC188–1044%-0.02
anubisD144–1029%-0.03
vertigoB137–654%-0.03
cacheD72–529%-0.03
ancientC73–443%-0.01
debrisS64–267%0.05
poseidon—30–30%-0.06
mirage—31–233%-0.00
train—31–233%-0.04
office—21–150%-0.03
overpass—20–20%-0.11
dust2—21–150%-0.08
fachwerk—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,034Lifetime kills
1.00K/D
9,689Matches
43.7%Match win rate
41.7%Headshot %
13.9%Shot accuracy · Top 50% of Level 5 players
18,346MVPs
3,559Hours (in match)
6,421Bombs planted
2,929Bombs defused

Most-used weapons

AK-4773,998
AWP8,396
AUG4,774
SG 5534,642
MP93,269

Lifetime map wins

11,905nuke
10,734inferno
10,235vertigo
4,963dust2
4,558train
346cbble
132office
39lake

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

Faceit stats

Combat

413Matches
50%Win rate
0.72Avg K/D
58.5ADR
32%Headshot %

Clutches & streaks

39%1v1 clutch win
8%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke3456%0.7812.5
Inferno2763%0.7410.9
Ancient2548%0.7111.1
Vertigo2050%0.6912.6
Mirage1136%0.5810.6
Overpass743%0.8512.4
Anubis30%0.599.3
Train250%0.8721.0

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.

10.7%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.0%Spray accuracy
67.9%Counter-strafing
12.0°Preaim
621msReaction time
36.4%T opening success
45.1%CT opening success
0.51Enemies flashed / flash
10.2%Flash assists
6.61HE damage / grenade
10.44Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0448° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7199% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–90.0111%1 Nov →
office2–13-0.0612%1 Nov →
cache13–110.015%26 Oct →
debris9–30.0311%25 Oct →
poseidon6–9-0.0121%25 Oct →
overpass4–9-0.0625%25 Oct →
vertigo8–8-0.0620%25 Oct →
nuke8–8-0.097%25 Oct →
inferno9–50.078%24 Oct →
nuke7–9-0.129%24 Oct →
anubis6–13-0.0614%24 Oct →
nuke8–13-0.067%24 Oct →
cache13–11-0.0210%22 Oct →
cache4–13-0.094%22 Oct →
anubis8–13-0.0014%3 Oct →
nuke11–13-0.044%3 Oct →
mirage2–13-0.040%3 Oct →
anubis9–13-0.0624%2 Oct →
ancient13–16-0.0610%2 Oct →
inferno12–16-0.072%2 Oct →
nuke13–110.0210%2 Oct →
anubis13–2-0.0411%2 Oct →
nuke7–13-0.0519%2 Oct →
ancient13–9-0.036%2 Oct →
overpass2–9-0.1714%29 Sept →
inferno8–8-0.053%29 Sept →
nuke9–20.0819%29 Sept →
nuke15–15-0.0614%28 Sept →
vertigo5–13-0.0325%24 Sept →
vertigo4–13-0.0516%24 Sept →
vertigo9–0-0.0125%24 Sept →
vertigo9–5-0.0313%23 Sept →
dust26–13-0.1219%23 Sept →
nuke13–7-0.0314%23 Sept →
inferno13–10-0.024%23 Sept →
nuke13–7-0.019%23 Sept →
vertigo9–10.1124%22 Sept →
vertigo6–2-0.090%22 Sept →
debris9–40.0942%22 Sept →
inferno3–9-0.214%22 Sept →
inferno8–80.0211%22 Sept →
debris6–90.035%21 Sept →
nuke8–80.0419%21 Sept →
debris6–9-0.0215%21 Sept →
nuke4–9-0.1417%21 Sept →
nuke3–9-0.1022%21 Sept →
vertigo8–8-0.049%21 Sept →
inferno9–50.0112%21 Sept →
poseidon5–9-0.080%21 Sept →
anubis4–13-0.066%21 Sept →
ancient9–13-0.0111%21 Sept →
ancient7–13-0.070%21 Sept →
nuke13–10-0.0411%19 Sept →
cache10–13-0.0815%19 Sept →
inferno13–5-0.0616%19 Sept →
inferno13–5-0.0216%19 Sept →
cache15–15-0.0016%19 Sept →
ancient13–8-0.0310%19 Sept →
inferno9–70.0127%19 Sept →
vertigo9–4-0.0329%17 Sept →
ancient13–40.1119%17 Sept →
anubis8–13-0.0116%17 Sept →
inferno11–13-0.059%17 Sept →
debris9–50.0312%17 Sept →
nuke9–50.0410%17 Sept →
inferno9–40.0713%17 Sept →
poseidon3–9-0.0920%17 Sept →
inferno6–9-0.1429%17 Sept →
vertigo9–40.0219%17 Sept →
nuke13–6-0.0519%17 Sept →
vertigo5–13-0.1233%17 Sept →
anubis7–10.0236%17 Sept →
cache13–16-0.047%16 Sept →
anubis11–6-0.075%16 Sept →
anubis13–8-0.048%16 Sept →
nuke13–10-0.0415%16 Sept →
nuke13–7-0.0212%16 Sept →
inferno5–13-0.0428%16 Sept →
train13–20.0240%18 Aug →
train5–13-0.056%18 Aug →
train6–13-0.0819%18 Aug →
debris9–00.157%3 Aug →
inferno5–9-0.089%3 Aug →
inferno3–9-0.0129%3 Aug →
vertigo11–13-0.0514%2 Aug →
vertigo13–11-0.0614%2 Aug →
inferno9–00.2622%22 Jul →
cache8–130.0121%22 Jul →
mirage13–30.0622%22 Jul →
anubis6–13-0.035%22 Jul →
anubis8–13-0.098%22 Jul →
anubis9–130.0616%22 Jul →
mirage4–13-0.0418%20 Jul →
ancient8–130.0213%20 Jul →
dust213–9-0.0410%20 Jul →
anubis9–13-0.0313%20 Jul →
nuke8–7-0.0831%20 Jul →
anubis1–13-0.0722%20 Jul →
fachwerk10–13-0.057%19 Jul →
inferno12–12-0.0218%19 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.