BackenTennis

BackenTennis — CS2 Stats

DE76561199091130266[U:1:1130864538]Steam profile ↗✓ No bans

495Tracked matches57%Win rate2021Tracked since
400Hours in CS
CSDB Rating5.8 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,078 +3,684 18 Sept – 27 Oct · 13 days played
11,83916,078peak 16,07818 Sept27 Oct
16,078Peak Premier in tracked matches
60Days played since 2024-09-18

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate71.7%42.7%43.8%above
Shot accuracy9.7%11.2%12.0%2.4% short
Kill/death ratio1.310.991.02above
Match win rate46.1%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBackenTennisFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning49
Utility9

0–100 skill scores via Leetify.

Recent form

COLD56–36–8Last 10056%Win rateTLLLLTWWWL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −6.6pp headshot accuracy · −141ms reaction

Win rate down 50pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 38%
  • Avg reaction 600ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 629ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 32%
  • Avg reaction 699ms

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 (+2.2 against its own average).

Aim8.3
Utility0.9
Positioning4.9
Opening Duels4.0
Clutch1.0

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.

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

donk

Plays most like donk 76% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 675ms 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

Aim8.3
Positioning4.9
Utility0.9
Mechanics7.8
Opening Duels3.2
Win Impact7.4

Composite 5.8/10 (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 rating-0.02−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time678ms+46ms
first ⅓ avg 632ms → last ⅓ avg 678ms
Headshot accuracy34.0%+9.5%
first ⅓ avg 24.5% → last ⅓ avg 34.0%

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 · 11–8 · overpass, 20 Sept →
75%Best headshot accuracy · 1–9 · nuke, 26 Jul →
414msFastest reaction time · 6–13 · mirage, 21 May →
13–0Biggest win · agency, 27 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 83% over 6infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3521–1460%0.01
infernoD143–1121%-0.01
anubisB137–654%-0.01
nukeA95–456%-0.03
vertigoS97–278%0.02
overpassS65–183%0.05
ancient—42–250%-0.05
dust2—20–20%-0.04
grail—21–150%-0.02
train—21–150%-0.05
agency—11–0100%-0.01
whistle—11–0100%0.05
assembly—11–0100%0.05
italy—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,119Lifetime kills
1.31K/D · Top 10% of Level 4 players
1,083Matches
46.1%Match win rate · Top 50% of Level 4 players
71.7%Headshot % · Top 1% of Level 4 players
9.7%Shot accuracy
4,653MVPs
400Hours (in match)
519Bombs planted
970Bombs defused

Most-used weapons

Lifetime map wins

2,329inferno
1,653vertigo
800dust2
637nuke
277train
65cbble
40office
13italy

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

Faceit stats

Combat

106Matches
51%Win rate
1.03Avg K/D
82.6ADR
51%Headshot %

Clutches & streaks

25%1v1 clutch win
50%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1070%0.9514.5
Anubis989%1.1816.3
Inferno50%0.8514.8
Mirage425%0.8215.3
Overpass20%0.8012.0
Dust2250%1.2818.5
Ancient1100%1.5015.0
Nuke10%0.417.0

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.

35.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
38.0%Spray accuracy
85.0%Counter-strafing
9.0°Preaim
675msReaction time
45.1%T opening success
40.7%CT opening success
0.26Enemies flashed / flash
0.0%Flash assists
8.86HE damage / grenade
1.24Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2588 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0120%30 Jul →
nuke1–9-0.1675%26 Jul →
inferno7–9-0.0836%22 Jul →
overpass2–9-0.1131%25 Jun →
nuke7–9-0.0029%11 Jun →
inferno8–80.1214%11 Jun →
inferno9–70.0724%7 Jun →
overpass9–40.1112%27 Mar →
ancient13–6-0.0521%23 Mar →
anubis11–13-0.1125%20 Jan →
nuke9–7-0.1331%26 Oct →
mirage13–11-0.0452%13 Aug →
mirage13–70.0748%10 Jul →
mirage13–4-0.0233%7 Jul →
nuke13–1-0.0240%4 Jul →
mirage13–70.0848%3 Jul →
mirage12–120.0421%2 Jul →
mirage13–11-0.0526%2 Jul →
mirage13–110.0234%25 Jun →
mirage11–130.0019%24 Jun →
inferno7–13-0.0721%24 Jun →
mirage13–7-0.0132%23 Jun →
dust29–13-0.0344%15 Jun →
mirage9–13-0.0519%28 May →
mirage6–13-0.0562%27 May →
agency13–0-0.0133%27 May →
anubis2–13-0.0140%27 May →
mirage13–4-0.0433%27 May →
mirage7–130.0135%22 May →
mirage13–11-0.0255%22 May →
mirage13–90.0437%22 May →
mirage6–13-0.0339%21 May →
mirage5–130.0236%21 May →
ancient13–7-0.0233%20 May →
anubis10–130.0139%20 May →
nuke13–80.0961%19 May →
overpass13–60.0333%19 May →
mirage7–130.0131%19 May →
mirage13–100.0739%19 May →
mirage3–130.0163%12 May →
grail13–4-0.0121%12 May →
inferno11–130.0124%12 May →
anubis12–12-0.0617%11 May →
mirage13–80.0216%11 May →
grail10–13-0.0420%8 May →
mirage12–12-0.0320%7 May →
mirage13–9-0.0122%6 May →
nuke12–12-0.0621%4 May →
mirage13–50.0921%3 May →
vertigo13–11-0.0016%3 May →
vertigo6–13-0.0318%1 May →
anubis7–130.0225%27 Mar →
inferno0–13-0.1124%27 Mar →
mirage8–13-0.0225%17 Mar →
ancient5–13-0.0725%12 Mar →
train13–8-0.0640%11 Mar →
inferno13–90.0236%11 Mar →
inferno11–130.0129%14 Feb →
mirage13–6-0.0053%8 Feb →
whistle9–50.0544%18 Nov →
train12–12-0.0524%16 Nov →
anubis13–6-0.0319%27 Oct →
mirage13–50.0319%25 Oct →
overpass13–10.0524%21 Oct →
vertigo13–20.0529%21 Oct →
assembly9–60.0523%20 Oct →
nuke7–9-0.028%18 Oct →
ancient8–13-0.0624%18 Oct →
mirage16–12-0.0215%17 Oct →
anubis13–11-0.0325%17 Oct →
inferno6–13-0.0135%17 Oct →
anubis10–13-0.0720%17 Oct →
mirage13–10-0.0115%17 Oct →
anubis13–8-0.0332%17 Oct →
vertigo16–130.0719%16 Oct →
mirage13–90.0422%15 Oct →
nuke13–80.0331%15 Oct →
inferno13–60.0724%15 Oct →
inferno7–9-0.103%14 Oct →
inferno9–13-0.0126%13 Oct →
anubis13–70.0526%12 Oct →
italy13–50.0628%12 Oct →
mirage13–70.0527%12 Oct →
overpass13–70.0324%11 Oct →
inferno1–2-0.0140%11 Oct →
anubis13–9-0.0430%10 Oct →
vertigo13–110.0323%9 Oct →
vertigo15–150.0030%21 Sept →
nuke9–70.0121%21 Sept →
mirage13–50.0719%20 Sept →
mirage2–13-0.0023%20 Sept →
overpass11–80.1847%20 Sept →
vertigo9–70.0217%20 Sept →
anubis13–90.1014%20 Sept →
inferno4–13-0.0117%20 Sept →
vertigo13–80.0428%20 Sept →
dust23–13-0.0623%19 Sept →
anubis13–70.0928%19 Sept →
mirage10–130.0330%19 Sept →
vertigo13–30.0421%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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