Leopard 2A7V1

Leopard 2A7V1 — CS2 Stats

76561198254030367[U:1:293764639]Steam profile ↗✓ No bans

1,053Tracked matches59%Win rate2020Tracked since
2,503Hours in CS2Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating17,308Purple band · top ~19.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,308 -5,030 19 Jun – 28 Sept · 20 days played
15,95922,388peak 22,38819 Jun28 Sept
22,443Peak Premier in tracked matches
34Days played since 2026-06-18

Premier CS Rating

  • 5,080 below peak (22,388)
  • -3,601 over 90 days
  • Next: Pink band at 20,000 — 2,692 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches5——
Win rate40%——
K/D1.22——
Headshot %43%——

Measured 11 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 rate35.5%42.7%43.7%8.3% short
Shot accuracy15.5%11.3%12.0%above
Kill/death ratio0.980.991.020.04 short
Match win rate36.9%43.9%44.7%7.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGLeopard 2A7V1FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,308 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48
Positioning63
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLWWLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.2pp headshot accuracy · −34ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 494ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

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 (+1.4 against its own average).

Aim4.8
Utility5.0
Positioning6.3
Opening Duels4.0
Clutch4.4

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 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.8
Positioning6.3
Utility5.0
Mechanics4.1
Opening Duels4.3
Win Impact7.9

Composite 5.3/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time586ms−107ms
first ⅓ avg 692ms → last ⅓ avg 586ms
Headshot accuracy16.0%−3.8%
first ⅓ avg 19.8% → last ⅓ avg 16.0%

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

0.13Best match rating · 13–4 · dust2, 15 Jul →
35%Best headshot accuracy · 1–13 · dust2, 6 Jul →
391msFastest reaction time · 11–13 · mirage, 28 Sept →
13–2Biggest win · dust2, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD225–1723%0.00
mirageC176–1135%-0.01
dust2B179–853%0.02
nukeA159–660%-0.01
cacheD103–730%-0.03
ancientD82–625%0.02
anubisB84–450%0.00
overpass—11–0100%-0.02
vertigo—11–0100%0.06
office—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,868Lifetime kills
0.98K/D
4,807Matches
36.9%Match win rate
35.5%Headshot %
15.5%Shot accuracy · Top 25% of Level 4 players
9,247MVPs
1,313Hours (in match)
4,228Bombs planted
913Bombs defused

Most-used weapons

AK-4718,153
AWP13,502
MP93,063
Tec-92,591
MAC-102,490
SSG 082,427

Lifetime map wins

10,564inferno
3,930dust2
3,367lake
2,023nuke
1,512vertigo
470office
467train
265safehouse

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

Faceit stats

Combat

114Matches
54%Win rate
0.92Avg K/D
68.6ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4156%0.9414.5
Dust22045%0.7811.4
Ancient1553%1.0914.9
Anubis1354%0.8713.5
Nuke1145%0.8812.9
Mirage757%0.9714.1
Vertigo475%1.0014.0
Train2100%1.0615.5

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.

15.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.6%Spray accuracy
68.7%Counter-strafing
12.0°Preaim
588msReaction time
44.9%T opening success
49.3%CT opening success
0.53Enemies flashed / flash
4.5%Flash assists
12.01HE damage / grenade
5.22Flashes / 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 12.0423° — above the 12° mark we flag

    Aim Training →
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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0112%28 Sept →
nuke13–80.0420%28 Sept →
dust213–20.0319%26 Sept →
inferno6–130.0316%24 Sept →
nuke11–13-0.0410%24 Sept →
cache11–1-0.038%9 Sept →
inferno13–30.0218%9 Sept →
dust213–100.0619%9 Sept →
inferno7–9-0.0611%9 Sept →
ancient13–100.0611%19 Aug →
inferno13–70.0415%19 Aug →
mirage13–60.0714%19 Aug →
inferno8–13-0.0019%19 Aug →
overpass13–11-0.0217%18 Aug →
ancient9–130.1029%18 Aug →
anubis12–12-0.0313%11 Aug →
nuke11–13-0.0517%11 Aug →
mirage13–9-0.0320%11 Aug →
cache12–16-0.0316%6 Aug →
mirage4–130.0218%5 Aug →
nuke9–13-0.0712%5 Aug →
nuke13–90.0216%5 Aug →
cache2–13-0.0417%4 Aug →
mirage7–13-0.0123%4 Aug →
nuke10–13-0.0512%4 Aug →
nuke13–70.0024%3 Aug →
dust213–7-0.0111%3 Aug →
mirage13–70.0115%3 Aug →
dust213–100.0210%30 Jul →
anubis13–80.0113%30 Jul →
mirage13–9-0.0212%30 Jul →
cache6–13-0.0216%29 Jul →
vertigo13–90.0627%29 Jul →
cache11–13-0.0631%29 Jul →
mirage16–12-0.0415%27 Jul →
dust210–13-0.039%27 Jul →
anubis13–70.0321%26 Jul →
ancient5–130.0128%26 Jul →
mirage4–13-0.0325%26 Jul →
dust213–100.0221%25 Jul →
inferno13–110.0216%25 Jul →
anubis13–50.0511%25 Jul →
inferno13–110.0122%25 Jul →
nuke13–10-0.0212%24 Jul →
inferno10–130.0830%21 Jul →
dust23–130.0221%21 Jul →
inferno5–13-0.048%21 Jul →
nuke13–70.0713%21 Jul →
dust23–130.0319%21 Jul →
dust210–130.0130%21 Jul →
ancient6–13-0.0318%20 Jul →
mirage7–13-0.0714%20 Jul →
dust27–13-0.0117%20 Jul →
anubis15–15-0.0013%17 Jul →
mirage10–13-0.0511%16 Jul →
cache11–130.0316%15 Jul →
nuke13–9-0.007%15 Jul →
nuke3–13-0.0716%15 Jul →
inferno12–16-0.0622%15 Jul →
dust213–40.1313%15 Jul →
mirage5–13-0.0116%12 Jul →
nuke13–9-0.0318%12 Jul →
inferno13–80.1328%12 Jul →
mirage9–130.0017%12 Jul →
dust213–40.1223%12 Jul →
cache3–13-0.049%11 Jul →
inferno10–13-0.0519%11 Jul →
ancient4–130.0229%11 Jul →
nuke13–70.1128%11 Jul →
inferno6–13-0.0434%10 Jul →
mirage13–100.0314%10 Jul →
ancient16–140.0217%10 Jul →
anubis4–13-0.077%10 Jul →
nuke16–13-0.0414%10 Jul →
cache4–13-0.0510%10 Jul →
cache13–7-0.0817%10 Jul →
nuke9–13-0.0110%10 Jul →
dust26–13-0.0115%7 Jul →
office6–13-0.0516%7 Jul →
dust22–130.0227%7 Jul →
ancient6–130.0122%7 Jul →
dust213–110.0115%6 Jul →
dust21–13-0.0435%6 Jul →
cache13–11-0.0221%2 Jul →
inferno5–13-0.0420%1 Jul →
inferno5–13-0.0030%1 Jul →
ancient7–13-0.0218%1 Jul →
mirage1–13-0.0913%23 Jun →
inferno11–130.0415%23 Jun →
anubis13–90.0011%23 Jun →
inferno10–13-0.0331%22 Jun →
inferno9–130.0534%22 Jun →
inferno6–130.0522%22 Jun →
mirage1–13-0.018%22 Jun →
anubis15–150.0220%20 Jun →
inferno8–13-0.0212%19 Jun →
inferno7–13-0.0823%19 Jun →
dust213–110.0025%19 Jun →
mirage11–130.0020%18 Jun →
inferno10–130.0223%18 Jun →

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.