wingman

wingman — CS2 Stats

76561199709982905[U:1:1749717177]Steam profile ↗✓ No bans

1,483Tracked matches43%Win rate2024Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating12,710Blue band · top ~40.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 12,710 -1,079 17 Aug – 11 Oct · 20 days played
11,70514,787peak 14,78717 Aug11 Oct
14,849Peak Premier in tracked matches
31Days played since 2026-08-17

Premier CS Rating

  • 2,077 below peak (14,787)
  • -2,077 over 30 days · declining
  • Next: Purple band at 15,000 — 2,290 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGwingmanFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,710 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning71
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY32–59–9Last 10032%Win rateWWLWLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +3.0pp headshot accuracy · −26ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 619ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 609ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 622ms

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 (+1.7 against its own average).

Aim3.2
Utility4.8
Positioning7.1
Opening Duels3.8
Clutch6.0

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

jL

Plays most like jL 58% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim3.2
Positioning7.1
Utility4.8
Mechanics1.3
Opening Duels6.2
Win Impact2.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time601ms+29ms
first ⅓ avg 572ms → last ⅓ avg 601ms
Headshot accuracy11.1%−0.1%
first ⅓ avg 11.2% → last ⅓ avg 11.1%

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

0.31Best match rating · 9–2 · inferno, 12 Sept →
25%Best headshot accuracy · 9–1 · eldorado, 6 Sept →
375msFastest reaction time · 8–1 · dust2, 26 Sept →
13–0Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
3–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

eldoradoBest map · 67% over 6ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD3110–2132%0.00
nukeC176–1135%-0.03
poseidonD143–1121%0.01
dust2B84–450%-0.00
anubisD72–529%-0.02
eldoradoS64–267%0.11
debrisD61–517%0.06
mirageC52–340%0.01
ancientD50–50%-0.00
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.87Avg K/D
62.9ADR
19%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.0814.0
Ancient10%0.477.0
Overpass10%1.0618.0

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.

11.5%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.5%Spray accuracy
55.7%Counter-strafing
10.5°Preaim
553msReaction time
67.8%T opening success
41.8%CT opening success
0.54Enemies flashed / flash
4.9%Flash assists
8.66HE damage / grenade
7.48Flashes / 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. 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 11.4779% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0418%11 Oct →
nuke13–70.0717%10 Oct →
anubis11–130.0510%10 Oct →
nuke13–9-0.0519%10 Oct →
nuke4–9-0.148%9 Oct →
inferno3–9-0.083%9 Oct →
mirage6–13-0.058%9 Oct →
inferno5–13-0.0214%9 Oct →
inferno13–7-0.0616%9 Oct →
inferno4–9-0.1313%9 Oct →
nuke2–9-0.240%9 Oct →
inferno9–10.1015%9 Oct →
poseidon9–70.077%9 Oct →
poseidon5–9-0.1019%9 Oct →
anubis13–9-0.059%9 Oct →
dust28–130.037%8 Oct →
eldorado9–20.196%7 Oct →
poseidon8–80.069%7 Oct →
inferno11–13-0.0015%6 Oct →
mirage13–10.0212%6 Oct →
dust213–00.064%6 Oct →
poseidon6–9-0.0412%6 Oct →
mirage11–130.029%3 Oct →
inferno16–120.0417%29 Sept →
dust24–13-0.089%29 Sept →
inferno9–30.1220%29 Sept →
dust28–1-0.040%26 Sept →
nuke8–130.0416%25 Sept →
inferno7–130.019%25 Sept →
mirage7–130.0314%25 Sept →
nuke6–130.0118%24 Sept →
nuke10–13-0.017%24 Sept →
dust213–90.039%24 Sept →
nuke10–130.057%24 Sept →
inferno13–40.017%23 Sept →
anubis6–13-0.0410%23 Sept →
inferno13–5-0.0211%23 Sept →
ancient9–130.036%22 Sept →
dust29–13-0.027%19 Sept →
anubis9–13-0.0117%19 Sept →
inferno2–9-0.1410%19 Sept →
nuke13–100.0913%16 Sept →
ancient5–13-0.065%16 Sept →
inferno7–90.0115%16 Sept →
inferno6–90.0413%15 Sept →
poseidon8–80.084%15 Sept →
debris5–90.099%15 Sept →
debris8–80.076%15 Sept →
eldorado9–30.062%14 Sept →
nuke5–90.1420%14 Sept →
inferno1–9-0.123%14 Sept →
poseidon9–50.1510%14 Sept →
inferno8–8-0.0118%14 Sept →
nuke2–9-0.1113%14 Sept →
eldorado5–9-0.077%14 Sept →
eldorado9–50.1911%14 Sept →
debris9–60.1012%14 Sept →
inferno8–8-0.0013%14 Sept →
poseidon5–90.1210%14 Sept →
nuke1–9-0.2611%14 Sept →
poseidon5–90.0313%12 Sept →
nuke9–50.0124%12 Sept →
inferno9–20.3121%12 Sept →
poseidon9–60.0814%12 Sept →
inferno4–9-0.0711%12 Sept →
eldorado6–90.014%12 Sept →
inferno7–90.0712%12 Sept →
inferno8–8-0.037%8 Sept →
debris8–80.139%7 Sept →
inferno6–90.0514%6 Sept →
poseidon8–8-0.068%6 Sept →
inferno9–70.1317%6 Sept →
debris7–90.0213%6 Sept →
eldorado9–10.2725%6 Sept →
vertigo7–9-0.0510%6 Sept →
inferno5–90.010%6 Sept →
nuke7–9-0.0023%6 Sept →
inferno6–9-0.010%6 Sept →
dust210–13-0.0514%5 Sept →
debris5–9-0.029%4 Sept →
inferno3–9-0.0613%4 Sept →
dust213–70.059%4 Sept →
anubis10–13-0.055%3 Sept →
poseidon5–9-0.0811%2 Sept →
nuke3–9-0.160%1 Sept →
inferno9–40.0414%31 Aug →
anubis15–15-0.076%20 Aug →
mirage13–10.0210%20 Aug →
inferno7–130.0617%20 Aug →
poseidon7–9-0.057%19 Aug →
inferno5–9-0.0222%19 Aug →
poseidon4–9-0.139%19 Aug →
inferno3–9-0.1111%19 Aug →
ancient5–130.009%18 Aug →
nuke13–4-0.0311%18 Aug →
inferno13–4-0.0119%18 Aug →
ancient12–160.0614%17 Aug →
poseidon4–9-0.0513%17 Aug →
ancient4–13-0.0410%17 Aug →
nuke16–140.0310%17 Aug →

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 →

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