TangTamer — CS2 Stats

76561198950964938[U:1:990699210]

759Tracked matches53%Win rate2022Tracked since
CSDB Rating4.1 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim46
Positioning28
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWWLWLWLLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.6
Aggression0.0
Utility5.0
Positioning2.8
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 631ms 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

Aim4.6
Positioning2.8
Utility5.0
Mechanics5.3
Opening Duels0.0
Win Impact6.1

Composite 4.1/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time640ms+20ms
first ⅓ avg 620ms → last ⅓ avg 640ms
Headshot accuracy19.5%+4.8%
first ⅓ avg 14.6% → last ⅓ avg 19.5%

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.

Highlights

0.11Best rating — overpass 9–7
132Biggest win — nuke
3Longest win streak
W2Current streak
99In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 67% over 6nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2181338%-0.03
infernoB21101148%-0.03
ancientB1991047%-0.03
anubisB147750%-0.02
nukeD72529%-0.01
trainS64267%-0.02
overpass42250%0.01
cache330100%-0.03
vertigo2020%-0.16
dust221150%-0.02
grail1010%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
48%Win rate
0.72Avg K/D
ADR
57%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis850%0.7411.3
Mirage743%0.668.6
Ancient667%0.8513.2
Overpass333%0.516.3
Inferno20%0.589.5
Vertigo1100%1.0010.0

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.

18.4%Headshot accuracy
28.4%Accuracy (enemy spotted)
29.1%Spray accuracy
73.9%Counter-strafing
9.7°Preaim
631msReaction time
11.9%T opening success
20.0%CT opening success
0.49Enemies flashed / flash
2.1%Flash assists
6.50HE damage / grenade
9.64Flashes / 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 0.4888 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 11.8532% — below the 40% mark we flag

Spend your practice time on Nuke

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 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0410%6 Aug
ancient13–6-0.0230%6 Aug
mirage11–130.0021%2 Aug
mirage13–6-0.0016%31 Jul
anubis8–130.0417%31 Jul
inferno13–3-0.0221%31 Jul
ancient2–13-0.1011%31 Jul
ancient11–130.0019%30 Jul
ancient13–8-0.0222%30 Jul
cache13–10-0.0430%29 Jul
inferno3–13-0.0614%29 Jul
anubis16–120.0226%29 Jul
mirage8–13-0.0418%25 Jul
ancient13–3-0.0516%25 Jul
cache13–11-0.029%25 Jul
ancient8–13-0.072%25 Jul
inferno13–70.0229%26 Jun
mirage13–10-0.0224%26 Jun
vertigo3–9-0.1544%26 Jun
anubis13–11-0.0413%19 Jun
ancient13–30.0322%23 Apr
mirage0–13-0.0425%21 Apr
ancient13–10-0.0319%21 Apr
overpass9–13-0.0322%3 Feb
inferno13–30.0617%3 Feb
ancient13–7-0.0421%3 Feb
ancient7–13-0.0714%23 Jan
inferno4–13-0.0315%22 Dec
mirage4–130.0116%22 Dec
mirage2–13-0.0118%18 Dec
nuke4–9-0.0940%10 Oct
inferno5–9-0.108%10 Oct
ancient9–13-0.0813%1 Oct
train1–13-0.066%26 Sept
mirage5–5-0.0920%26 Sept
nuke3–130.0620%26 Sept
inferno2–13-0.087%26 Sept
ancient5–13-0.0122%7 Aug
mirage13–9-0.0220%7 Aug
inferno10–130.0213%6 Aug
nuke13–20.0416%6 Aug
grail6–130.0113%6 Aug
inferno13–110.0515%5 Aug
train0–13-0.049%5 Aug
inferno9–5-0.0811%5 Aug
overpass13–30.0516%30 Jul
overpass7–13-0.0714%30 Jul
overpass9–70.1131%30 Jul
nuke9–60.046%28 Jul
vertigo5–9-0.169%28 Jul
inferno7–9-0.0622%28 Jul
mirage12–120.0119%15 Jul
nuke5–13-0.0325%15 Jul
train6–20.0140%15 Jul
inferno11–130.002%14 Jul
dust24–13-0.034%14 Jul
anubis3–13-0.0725%9 Jul
inferno13–9-0.0223%9 Jul
inferno14–16-0.006%8 Jul
anubis10–13-0.0014%8 Jul
anubis11–13-0.0422%7 Jul
mirage13–5-0.0325%7 Jul
dust213–9-0.0124%4 Jul
anubis15–15-0.0418%4 Jul
inferno13–50.0510%4 Jul
ancient6–13-0.0414%4 Jul
train13–11-0.069%3 Jul
mirage8–13-0.0814%3 Jul
ancient13–60.026%29 Jun
train13–80.0714%29 Jun
mirage7–13-0.0113%29 Jun
nuke7–13-0.0416%27 Jun
ancient10–13-0.0024%27 Jun
mirage10–13-0.064%27 Jun
inferno8–130.0217%27 Jun
inferno11–2-0.020%24 Jun
ancient13–11-0.0117%24 Jun
mirage10–13-0.0729%24 Jun
mirage6–13-0.024%21 Jun
anubis13–90.0320%21 Jun
ancient15–15-0.0215%21 Jun
anubis13–70.017%13 Jun
train13–9-0.0314%13 Jun
anubis13–8-0.0014%13 Jun
ancient11–13-0.1015%13 Jun
anubis13–10-0.0121%7 Jun
mirage13–7-0.056%7 Jun
mirage11–13-0.0420%5 Jun
inferno13–10-0.068%5 Jun
anubis9–13-0.0717%5 Jun
ancient13–110.043%4 Jun
nuke9–13-0.018%4 Jun
inferno13–16-0.0523%4 Jun
mirage13–16-0.0924%3 Jun
inferno13–4-0.109%3 Jun
anubis14–16-0.0214%3 Jun
mirage13–110.029%3 Jun
mirage13–60.0630%31 May
inferno1–9-0.1638%31 May
anubis13–5-0.0313%28 May

Match data via Leetify.

Recent teammates

Milestones

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